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AI Assistants Are Reshaping Modern Life And Industry Landscapes https://www.picit.ai/features/ai-image-generator https://www.picit.ai/

The rapid advancement of artificial intelligence (AI) technology has significantly impacted various aspects of modern life and industry. AI assistants, in particular, have become integral tools in reshaping how individuals and businesses operate. These intelligent systems are designed to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and making decisions. The proliferation of AI assistants is transforming daily routines, enhancing productivity, and revolutionizing industries. Enhancing Daily Life In everyday life, AI assistants like Amazon's Alexa, Apple's Siri, and Google Assistant have become household staples. These digital assistants help users manage their schedules, control smart home devices, and access information instantly through voice commands. By integrating with various applications and devices, they provide a seamless experience that simplifies tasks and enhances convenience. For instance, AI assistants can adjust the thermostat, play music, set reminders, and even place online orders, all through simple voice commands. This level of automation not only saves time but also increases efficiency, allowing people to focus on more meaningful activities. Some people use online AI photo editing tool like Picit.ai to retouch their image so they don't need to do it on their own. Revolutionizing Workplaces In the workplace, AI assistants are driving significant changes in how businesses operate. They streamline administrative tasks, manage calendars, and facilitate communication. For example, AI-powered tools like Microsoft's Cortana and Slack's AI features assist in organizing meetings, sending follow-up emails, and prioritizing tasks. This automation reduces the burden of mundane tasks on employees, enabling them to concentrate on strategic and creative aspects of their work. Moreover, AI assistants are enhancing decision-making processes by providing data-driven insights. They analyze vast amounts of data quickly, identifying trends and patterns that might be overlooked by humans. This capability is particularly beneficial in fields such as finance, healthcare, and marketing, where timely and accurate information is crucial. For instance, in healthcare, AI assistants can help diagnose diseases, recommend treatment plans, and monitor patient progress, thereby improving the quality of care and outcomes. Transforming Industries Beyond individual and workplace applications, AI assistants are reshaping entire industries. In retail, AI-driven chatbots are revolutionizing customer service by providing instant responses to inquiries, processing orders, and offering personalized product recommendations. This not only improves customer satisfaction but also increases sales and operational efficiency. In the automotive industry, AI assistants are at the forefront of developing autonomous vehicles. Companies like Tesla and Waymo are utilizing AI to create self-driving cars that can navigate complex environments, reducing the need for human drivers and potentially transforming transportation networks. These advancements promise to enhance road safety, reduce traffic congestion, and decrease the environmental impact of transportation. Furthermore, AI assistants are playing a critical role in the financial sector. They are used for fraud detection, risk assessment, and personalized financial planning. AI-driven algorithms analyze transaction patterns to identify suspicious activities, ensuring greater security for financial transactions. Additionally, robo-advisors provide investment advice tailored to individual preferences and goals, making financial services more accessible and efficient. Ethical Considerations and Future Prospects While the benefits of AI assistants are undeniable, their rise also brings ethical considerations. Issues such as data privacy, security, and the potential for job displacement need to be addressed. Ensuring that AI systems are transparent, fair, and accountable is crucial for their sustainable integration into society. Looking ahead, the future of AI assistants holds immense potential. As technology continues to evolve, these systems will become even more sophisticated and capable. The integration of AI with other emerging technologies like the Internet of Things (IoT) and 5G networks will further enhance their functionality and reach. In conclusion, AI assistants are reshaping modern life and industry landscapes by enhancing convenience, productivity, and efficiency. From daily routines to complex industry operations, these intelligent systems are driving innovation and transformation across various sectors. As we navigate the opportunities and challenges they present, it is clear that AI assistants will play a pivotal role in shaping the future.

What Size Is a 5x7 Photo https://picit.ai/features/ai-image-generator/create https://picit.ai/

In this digital age, photography has become an integral part of our lives. In particular, 5-inch photos play an important role, whether it is to share bits of life on social media or to leave precious memories on special occasions. This article will delve into how to use 5-inch photos effectively, whether you are a newbie or an experienced shutterbug, you can learn a lot from it. Plus, give it a try to generate images with Picit.ai-a fabulous photo editing website. What Are 5 Inches Photos We need to know what the standard size of a 5-inch photo is. Typically, a 5-inch photograph measures 5 inches by 7 inches (12.7 cm by 17.8 cm). This is a common print photo size and is suitable for a variety of applications, including family photos, art works and professional photography. To provide a bit more detail: Dimensions in Inches: 5 inches (width) by 7 inches (height). Dimensions in Centimeters: Approximately 12.7 cm (width) by 17.8 cm (height). Aspect Ratio: The aspect ratio of a 5x7 photo is 5:7. Uses for 5x7 Photos 5x7 photos are often used in: Photo Albums: They are a convenient size for physical photo albums. Frames: Many photo frames are designed to accommodate 5x7 prints. Gifts: These photos are a popular choice for gifting, as they are large enough to display details but small enough to fit in a variety of spaces. Event Photography: Such as weddings, graduations, and other significant events. Choose the Right Photography Equipment To take high-quality 5-inch photos, you first need to choose the right photography equipment. In general, SLR cameras and high pixel digital cameras are the best choice. They are able to capture more detail and color, ensuring clarity and texture in photos. If you need to convert these dimensions to other units (e.g., pixels for digital formats), you can use the following information: For digital printing: The number of pixels will depend on the resolution (DPI, dots per inch). A common high-quality print resolution is 300 DPI. At 300 DPI, a 5x7 photo would be 1500 x 2100 pixels. This size provides a good balance between detail and manageability, making it a popular choice for many types of photo prints. Tips and tricks Light and exposure control: When shooting, light and exposure are key factors. Make sure the light is well and evenly distributed to avoid problems with shadows or overexposure in your photos. Composition and angles: Try different compositions and shooting angles to add interest and visual appeal to your photos. Using the “rule of three” to arrange the subject and background can make the photo more artistic and layered. Post-processing: Use post-processing software, such as Adobe Photoshop or Lightroom, to make necessary adjustments and optimizations. Color, contrast, and sharpness can be adjusted, as well as possible blemishes can be eliminated. Creativity and Practice In addition to basic photography skills, creativity and practice are equally important. Experiment with different shooting themes and styles, and use your imagination to create unique and personalized 5-inch photo works. You can try to shoot natural landscapes, portraits, abstract art and other subjects to improve your photography skills. Don't forget to share your work with friends, family and even social media platforms. By sharing, you can get feedback and suggestions from others, and at the same time let more people appreciate your creative results. Through the study of this article, I believe you have mastered the basic knowledge and advanced skills of how to effectively use 5-inch photos. Whether it is the recording of daily life or the creation of professional photography, you can benefit from it. I hope you can enjoy photography and continue to improve your photography skills!

What Are Tech Companies Using AI For https://picit.ai/features/ai-image-generator/create https://picit.ai/

AI applications and tools are the new favorites of many tech companies, and numerous tech giants have started leveraging AI to enhance their products. Companies like Spotify, Notion, Buffer, and Quora all share a common goal: integrating AI technology to elevate the functionality of their products. Let’s take a look at how 12 tech giants and startups are modernizing their products using AI technology and what this means for users. Besides, if you are interested in generating images with AI, you should have a look on Picit.ai, it is a very convenient online image editing and generating tool. 1. Quora’s Poe Features: Shareable conversations, prompt topics, four different chat modes Overview: Since its launch in 2009, Quora has focused on a question-and-answer business model. Many users turn to this app to ask questions on topics ranging from social etiquette to weight loss to philosophy. The addition of an AI chat feature signifies an intriguing move towards modernizing the user experience. Poe allows users to choose from four different chat modes, including ChatGPT, and even provides a list of conversation starter topics. Review of Poe: “Perhaps the most interesting aspect of Poe is that anyone can share their conversations, allowing users to learn from each other.” 2. Microsoft Bing AI Features: Advanced search, improved search, personalized recommendations Overview: Integrating AI into Bing is transforming the way we search for information online. By leveraging machine learning and natural language processing, Bing AI can deliver more accurate and relevant search results than ever before. With its ability to understand user intent, contextualize queries, and learn from user behavior, Bing AI continuously improves and evolves, making it easier and faster for users to find the information they need. Review of Bing AI: “The search engine wars have begun! Is this a Google Search killer?” 3. Google Bard Features: LaMDA technology, search assistant, uses the latest information Overview: Google, a major tech company, has grown from a simple search engine into an omnipresent tool used daily by millions. Powered by the company's Language Model for Dialogue Applications (LaMDA), Bard helps extract answers to search queries from millions of search results, using the latest information in its responses to provide users with a way to answer contemporary questions. Review of Bard: “Let’s get started! We’ve already seen a few examples of Bard on Twitter, and the results look really good.” Coda Features: Real-time summaries, AI-generated content, data-aware text generation Overview: Coda is a productivity software tool that combines the functions of a document editor, spreadsheet software, and project management tools into one platform. Coda’s new AI features allow you to summarize and organize meeting notes as you type, while AI text generation can be used to brainstorm blog content, keeping your creative ideas flowing. Review of Coda: “Coda AI is still in its alpha phase, with only a few people invited to test it. Apart from AI, Coda has always helped teams with its 'versatile + concept-like + very powerful' features.” Buffer AI Features: Generates post ideas, writes original posts, adds AI-generated posts to the queue Overview: Buffer is a top social media scheduling and analytics tool. With the help of OpenAI’s API, their new AI features will make life easier for many social media managers. With Buffer AI, you can generate a list of ideas and choose the ones you want to expand and use for target posts. You can even create posts in specific directions based on the tone, style, and language you need. Review of Buffer: “I’m impressed with the quality of the content generated by the AI assistant. It feels like it’s written by a real person, and it always aligns with my brand’s tone.” Descript Features: Studio Sound AI tool, AI Greenscreen, AI Overdub features Overview: There are over 3 million podcasts in the world today. Content creators are everywhere, and they all need tools to produce short, sweet, high-quality content for the masses. Descript is one of the top AI startups supporting this group of creators, and its new AI integrations are helping the app and its users stand out. The editing tool boasts several clever AI features, including a Studio Sound AI tool for eliminating background noise and recording echoes, as well as an AI Greenscreen that allows users to instantly update backgrounds with a few clicks. Review of Descript: “I host a weekly podcast, and Descript makes the process of turning all the material into shorter content ten times faster. For me, removing filler words is a top priority, but there are many other cool features to take advantage of. I can’t wait to use them all!” Notion AI Features: AI-assisted writing, text summarization, extracting action items, refining your writing Overview: Innovative tools are a vital part of modern productivity, and Notion is using AI to enhance its toolset, helping people get more work done faster. Even great writers can struggle sometimes, and Notion AI can help generate an original draft with simple prompts. This can be used for anything from blog posts to tweets or just a list of ideas to kick-start the work. Review of Notion AI: “As someone with dyslexia, I need a second pair of eyes for even the simplest writing. While spell check is great, a more detailed grammar editor is often needed. This saves me from all of that, as well as the tools, plugins, or people I would normally recruit to edit my work. Thank you, Notion!” Snapchat’s My AI Features: Suggestions based on your preferences, built-in trust and safety Overview: Powered by OpenAI’s ChatGPT, Snapchat’s My AI tool can recommend gifts for friends, write a short poem, and even plan a hiking trip. It’s not perfect yet, but My AI is built to avoid biased, incorrect, harmful, or misleading information in line with the company’s trust and safety guidelines. Review of My AI: “This has huge potential, but I’m curious to see how they’ll make it better than just another 'chatbot.' In my view, using chat AI to create narratives for your Bitmoji shorts (movies) seems like a power play and a potential source of endless content.” GrammarlyGO Features: Personalized voice, AI rewriting, context-aware Overview: Grammarly is already a go-to tool for writers and knowledge workers, and generative AI is enhancing this tool to help with faster writing. GrammarlyGo can easily change the tone, format, or even length of content. The tool can even write a complete email reply with one click, based on the email’s context! Review of GrammarlyGo: “Grammarly is already a leader in AI communication assistance, so I have no doubt GrammarlyGO will be great. I look forward to seeing how the new generative AI features will further improve my writing.” SpotifyDJ Features: Personal DJ, reads your music moods, intertwines old favorites with new music Overview: The difference with Spotify DJ lies in the AI’s personification; it can tell you about its music choices based on your preferences and data. Review of SpotifyDJ: “This might be the first use of the Sonantic text-to-speech platform they acquired last year. The AI voice is too good! Now, what we need is the ability to personalize the DJ.” Miro AI Features: Generate mind maps, summarize sticky notes Overview: Cross-functional teams use Miro to launch new products, plan roadmaps, and develop features. However, there are some neat extras thanks to Miro AI integration. With generative mind maps, Miro AI can generate mind maps to kick-start your ideas, while AI-summarized sticky notes help clarify the core concepts your team wants to achieve. Review of Miro AI: “Miro AI seems like a game-changer to me. I love the idea of having AI features that help me overcome creative blocks, generate ideas, and automate tedious tasks. I’m particularly interested in the code block feature. As someone learning to code, I think this will help me better understand and write code.” Fin by Intercom Features: Leverages the company’s knowledge base, no setup required, redirects sensitive information to human representatives Overview: Clever integration redirects users to a human representative when a task involves private or sensitive information and can even ask follow-up questions to clarify the issue and guide users to articles in the support knowledge base. Review of Fin by Intercom: “I know how thoughtfully Intercom uses AI-assisted chatbots, and it looks like this team has really outdone themselves this time!”

The Uses of AI in the 2024 Paris Olympic https://picit.ai/features/ai-image-generator/create https://picit.ai/

When the Olympic flame is lit on the Seine River, the world's attention will once again be drawn to the grand spectacle of the 2024 Paris Olympics. However, this year's Olympics is not just a showcase of athletic prowess but also a feast of technology. The widespread application of AI technology is bringing unprecedented brilliance to this sporting event. As early as April 19 of this year, the International Olympic Committee (IOC) held a grand release of the “Olympic AI Agenda” in London. IOC President Thomas Bach firmly stated, “We must be leaders of change, not objects of change,” emphasizing the need to better harness the potential of artificial intelligence in the operation of the Olympics, striving to create an open, green, safe, and immersive Olympic Games. Safety is the cornerstone of any sports event. This Olympic Games employs AI algorithms to analyze images from surveillance cameras and drones to identify potential security risks. Compared to traditional human monitoring, AI can analyze video streams continuously for 24 hours, significantly reducing the workload of security personnel and greatly minimizing security oversights due to human error. It's as if the Olympics have been equipped with a pair of tireless “electronic eyes.” In the digital world, cybersecurity is equally critical. The Paris Olympics has introduced an AI-driven monitoring system specifically designed for real-time monitoring of social media, capable of precisely identifying and flagging content with tendencies toward online violence, thereby supporting platforms in timely handling of such content. This measure creates a safer and more focused competitive environment for athletes and officials, allowing them to remain undisturbed by online abuse and fully concentrate on their intense competitions. “How do I get to the stadium? Can the opening ceremony be live-streamed? Is there an electronic referee? Where can I collect the sponsors' gifts?” Athletes from over 200 countries, totaling more than 1,000, will gather in Paris, where they will be greeted by a new, friendly voice—AthleteGPT. This intelligent assistant will provide navigation and answers on the “Athlete365” mobile app. These questions are just a small part of what AthleteGPT can answer. This AI chatbot, developed by Mistral AI in Paris, integrates Intel's Gaudi processor technology to build a powerful Large Language Model (LLM). Todd Harple, head of the Olympic AI Innovation Project at Intel Labs in the United States, stated that AthleteGPT can “quickly browse massive amounts of information and provide services around the clock,” building a communication bridge in six languages. No matter where you come from, AthleteGPT is your helpful assistant, answering every query and guiding every path. The application of AI technology in the Olympics has evolved from being quietly present at the 2021 Tokyo Summer Olympics to now being omnipresent at the Paris Olympics, showcasing the rapid advancement of technology. AI technology has already been assisting decision-making in sports like football, collecting data through in-stadium and on-ball cameras and chips. Although not yet widespread in other sports, AI's real-time data analysis capabilities in officiating are gradually improving. In this year's Paris Olympics football matches, Tracab's Semi-Automated Offside Technology (SAOT) is being used. It utilizes advanced cameras and AI algorithms to automatically detect offsides and, combined with skeletal modeling, provides precise position information, offering a comprehensive perspective to Video Assistant Referees (VAR) and aiding in accurate decision-making. If you find AI attractive and want to generate some images with AI online, you can give a try on using Picit.ai's AI generating image function.

The Paris Olympics and the Evolution of Large AI Model Business Models https://picit.ai/features/ai-image-generator/create https://picit.ai/

This summer, the globally anticipated Paris Olympics provided a stage for athletes to showcase their talents, while also presenting opportunities for the commercialization and industrialization of AI and large model technologies. A French company developed an AI Q&A assistant called AthleteGPT, which interacts with athletes around the clock. Alibaba's Tongyi became the first large-scale AI model technology provider for the Olympics, supporting live broadcast signal distribution, assisting in event commentary, 360-degree live streaming, and bullet-time video generation. Additionally, other technologies like Baidu's AI-assisted diving training system and SenseTime's smart basketball systems, along with various referee assistance and decision-making products, were also showcased. AI large models have become a key force driving innovation across various industries. In April 2024, the International Olympic Committee (IOC) released the “Olympic AI Agenda.” However, challenges such as rising AI chip prices, limited computing power, intensified competition, and stagnant growth in consumer applications have made the commercial pathway for AI large models less straightforward. Even after rapid industry growth, leading AI companies are still in a money-burning phase, requiring various commercial partnerships and product integrations to sustain continuous updates and iterations of large models. With the fleeting nature of many industry applications, how can businesses achieve a closed-loop commercial model focused on the iterative core capabilities of AI large models? A mature industrial model may already offer some answers. From “Monopoly” to “Control” – Large AI Models Gradually Moving Behind the Scenes The advent of ChatGPT marked the beginning of the AI era, with its ability to rapidly attract a large following, leading the market to believe that products based on large models have the potential to become the gateway to the next digital age and a symbol of user entry into the intelligent era. The influx of capital also suggests that AI large models and AI assistants have great potential to become new internet gateways and traffic distribution hubs. From a technical perspective, AI large models possess powerful language understanding and generation capabilities, providing users with more intelligent and precise services. AI assistants can proactively execute tasks based on user intentions, enabling more personalized interactions. In terms of application scenarios, AI large models and AI assistants not only play roles in intelligent customer service and intelligent search but are also gradually permeating education, healthcare, finance, and other industries. For example, in intelligent search, a new internet portal battle has begun, with Perplexity's simple and direct search style already diverting a significant number of Google users, becoming a new avenue for information acquisition. As technology continues to evolve, AI will achieve “monopoly” on two levels in the future digital world. On one hand, AI assistants will become the gateway for users to access the digital world, assisting them in acquiring, processing, and sending information. On the other hand, AI assistants will act as intelligent operating systems, managing and accessing various applications to meet user needs. From the user’s perspective, intelligent services significantly reduce the learning curve for various applications; from the perspective of the digital world's information flow structure, AI large models will quickly centralize the internet world, with human interactions increasingly mediated by AI. The rapid iteration of AI has sparked concerns about “control.” From tech leaders like Elon Musk calling for a halt to the development of more powerful AI, to various associations publicly warning of AI's potential dangers, countries have begun preparing policies to regulate the safe development framework for AI large models. Compared to concerns about global conflict resulting from technological control, a more immediate risk is the systemic imbalance in social equity, data security, and innovation motivation caused by technological monopoly. AI technology is rapidly evolving, yet the promotion of AI large models is becoming increasingly low-key. Relative to the massive investment in building AI capabilities, individual commercial applications and star products struggle to support a sustainable commercial closed-loop. Based on the release of AI-related products both domestically and internationally, AI large models are gradually moving from front-line products to behind-the-scenes roles, becoming integrated modules like “GPT inside.” Beyond avoiding accusations of monopoly, what other commercial blueprints might be behind this shift? Cloud Empowerment as a Proven Success – Helping Clients Generate Revenue In May 2024, the Intelligent Terminal Large Model Alliance was announced, with partners like OPPO, Vivo, Honor, Xiaomi, Samsung, and ASUS gradually integrating their smart assistants and AI office applications with Volcano Engine's large model services. For instance, Samsung's new generation of Galaxy Z series smartphones integrated AI vision and assistant services with Doubao large model, while Honor built vertical product capabilities in mobile office and smart office by integrating various models from Doubao, such as speech recognition and role-playing. In May 2024, PwC signed on as the largest corporate customer of OpenAI’s enterprise version. In June 2024, Apple announced a partnership with OpenAI to integrate ChatGPT's AI capabilities into Apple Assistant Siri, incorporating this technology into its mobile, tablet, and computer operating systems. As early as March 2023, Microsoft integrated ChatGPT into its Copilot and began preliminary integration into its Office software suite. The flourishing AI applications at the Paris Olympics resemble a collection of puzzle pieces, where no single piece alone can support the extensive costs and expenses of large AI models. However, the complete picture formed by these pieces is gradually revealing the pathway to a commercial closed-loop for large AI models. Products and companies directly facing users, like Google and Facebook, face far greater antitrust risks than those providing B2B products and services, such as chip companies and cloud service providers. AI large models will inevitably shift away from a business model focused on creating traffic entry points, instead providing B2B services similar to cloud services, enhancing the competitiveness and intelligence of existing products and services. Tech giants like Apple and Microsoft, as well as leading domestic IT companies, have their own independently developed AI assistants, and they are now integrating more powerful large models. In the face of fierce market competition, only better products can win user recognition. More flexible IT business process integrations are also better suited to respond to the market's demand for instant services. The widespread adoption of cloud services requires companies to overcome the psychological barrier of moving core data to the cloud. The commercial value of cloud computing lies in its ability to provide scalable, pay-as-you-go services, simplifying development processes, and driving the transformation of enterprise IT architectures. AI large models empowering various industries follow a similar logic. As data protection technology matures and the capabilities of large models continue to improve, more enterprises will choose external large model services to provide users with better intelligent experiences at lower costs. The path to a commercial closed-loop for AI large models may likely offer a service similar to “cloud computing,” with the focus of this stage being the creation of an industry ecosystem centered around large models. For B2B companies, adopting advanced third-party AI technologies can improve customer experience, drive traffic to their own brands, and boost product sales. For large model developers, leveraging established channels to promote large models can reduce external antitrust pressure, obtain training data, and expand diverse application scenarios, which is the best soil for model upgrade and iteration. Through collaboration, both parties can maintain a leading position in an increasingly competitive market. Plus, if you are finding a convenient website to edit your photo, you can have a look on Picit.ai, its image generating function is fabulous as well.

The Era of Enterprise AI Has Arrived. How Can AI Better Empower Business Growth https://www.picit.ai/ https://www.picit.ai/features/ai-image-generator

If 2023 was the inaugural year for generative AI, then 2024 is set to become the year of enterprise-level AI. Over the past year, AI applications have been more prominent on the consumer side, with large language models (LLMs) generating text and multimodal models creating images. These applications mostly assist with simple tasks or provide entertainment like Picit.ai. However, generative AI is not yet mature enough for widespread enterprise-level use. As technology continues to advance, 2024 is expected to see more enterprise-level AI applications come to fruition. The integration of AI into industries will likely be a major topic in the tech world this year. Broad Application Prospects Consumer applications are just the tip of the iceberg when it comes to the value of generative AI. The real potential lies in enterprise and industry applications. Chen Xudong, Chairman and General Manager of IBM Greater China, has publicly stated that enterprise-level AI applications have broader demand and potential compared to consumer applications. According to IBM’s experience serving enterprise clients, generative AI has vast opportunities in areas like HR, finance, supply chain automation, IT development and operations, asset management, and data security. A report commissioned by IBM, titled the “2023 Global AI Adoption Index,” revealed that approximately 42% of surveyed companies worldwide have actively deployed AI in their operations. Notably, Chinese companies are at the forefront of enterprise-level AI adoption, with nearly half actively using AI and 85% planning to accelerate AI adoption over the next 2-3 years. Additionally, 63% are exploring generative AI. Industries such as finance, healthcare, legal consulting, and education, which are service-oriented, are likely to be early adopters of mature generative AI applications. For example, in the financial sector, large models are currently used for risk assessment, management, and knowledge graph platform development. In healthcare, industry-specific models can learn from and analyze vast amounts of medical data, assisting doctors in diagnosing diseases more accurately and efficiently. Enterprise AI Platforms as the Optimal Solution Apart from finance and healthcare, other industries are also exploring the integration of generative AI into their business processes. AI is expected to take over from cloud computing as the next focus of enterprise digital transformation. Chen Kedian, President of IBM Consulting Greater China, believes that while cloud computing has been the foundation of digitalization over the past 15 years, the next 15 years will be defined by AI empowering enterprises. He suggests that a hybrid cloud combined with AI will be the optimal solution for enterprises. Currently, there are three main ways enterprises can implement AI: embedding it into software, using API calls, or building their own enterprise-level AI platforms. Embedding AI in software is the simplest method but offers the least differentiation. API calls offer some customization, allowing enterprises to access external large language models to meet specific needs. However, the most effective approach is to build a custom enterprise-level AI platform, which, although more resource-intensive upfront, promises significant long-term returns. Challenges and the Road Ahead While building enterprise-level AI platforms is becoming a crucial strategy for enhancing competitiveness, generative AI applications on the enterprise side are still in their early stages. Several challenges remain: Model “hallucinations: Generative AI can produce inaccurate or misleading information, which poses a significant risk in enterprise applications where accuracy and security are paramount. Current capabilities: The primary strengths of large models lie in text and document processing, general chat, and basic professional Q&A. They still struggle with complex reasoning, specialized language tasks, and the processing of images and videos related to specific domains. Security concerns: As enterprises consider adopting generative AI, they are highly concerned about data security. Utilizing generative AI often requires training models with proprietary data, raising fears about data leakage or misuse by competitors. Companies must implement strong encryption, access controls, security audits, and privacy policies to mitigate these risks. While enterprises and AI service providers are actively exploring and investing in AI, widespread adoption of mature enterprise-level AI applications will take time.

The AI Application EPIK Has Ranked on the App Store https://www.picit.ai/ https://www.picit.ai/features/ai-image-generator

Recently, another AI application has gone viral. This time, it's EPIK, an AI photo editing app that has soared to the top of the App Store charts. EPIK allows users to create nostalgic, 90s-style “yearbook” photos of themselves as one of its many templates. Similar to other popular AI apps, EPIK works by having users upload a series of selfies, which the app then uses to generate retro yearbook photos featuring the users in various poses, looks, and hairstyles. The app comes from South Korean Snow Corporation, a subsidiary of Naver, which also produces the AI profile app Snow. In recent weeks, EPIK has gained attention on the App Store as influencers from around the world have started sharing AI-generated photos on social media. On the U.S. App Store, EPIK is currently ranked number one, though its popularity on Google Play is lower, at number 37. According to market intelligence firm Apptopia, since its debut in August 2021, EPIK has amassed a total of 92.3 million lifetime installs, with 4.7 million downloads in the U.S. The app began gaining attention on September 19 and suddenly went viral 10 days later. According to market intelligence firm Apptopia, since its debut in August 2021, EPIK has amassed a total of 92.3 million lifetime installs, with 4.7 million downloads in the U.S. The app began gaining attention on September 19 and suddenly went viral 10 days later. Another company, data.ai, estimates a slight decline in lifetime downloads to 82 million and notes that the app has generated nearly $7 million in consumer spending on iOS. Data.ai also points out that this is EPIK's first appearance in the top charts of comprehensive apps in the U.S. Snow Corporation did not respond to requests for comment to verify these figures. Scrolling through Instagram's #epik tag reveals that many prominent accounts have joined the trend of posting AI yearbook photos. These include beauty influencers Samantha Batallanos (254,000 followers) and Bretman Rock (18.8 million followers), actor and rapper Tim Chantarangsu (1.5 million followers), fashion model Eva Mikulski (481,000 followers), Denyzee (526,000 followers), Missou (507,000 followers), Romy (1.5 million followers), Liz Rangel (150,000 followers), and Hila Klein (100,000 followers), as well as Twitch streamer Pokimane (6 million followers) and many others, including influencers from both the app's home country and around the world. To use EPIK’s yearbook feature, users need to upload 8-12 selfie images, which are then used to create AI-generated photos. The app notes that results may vary as the AI is still improving, and users must agree to accept the results. Users are advised to provide clear photos with various expressions, angles, and backgrounds for the best results. After processing, 60 different images are generated. The app itself is free, but generating photos requires payment. Users can choose expedited service to receive their photos within 2 hours for an additional fee. EPIK is not the first AI photo app to gain widespread attention due to its innovative features. Before this, other popular products like Lensa and Remini also went viral. Lensa offered AI-generated “magic avatars,” and Remini climbed to the top of the App Store this summer with its professional-looking AI avatars. However, many AI photo apps struggle to maintain their appeal after a brief surge in popularity. A report from Apptopia earlier this year found that the first wave of AI photo editors, which became popular last winter, has lost consumer interest. For EPIK, this means that as users move on to the next AI trend, its recent high status may eventually become just another fleeting moment. In the end of the story, if you are interested in creating images with AI, you can have a try on Picit.ai to find more stunning content about AI generating images.

One of the Hottest AI Application Scenarios: Humanoid Robots https://www.picit.ai/ https://www.picit.ai/features/ai-image-generator

According to reports from media sources citing insiders, Amazon founder Jeff Bezos, AI chip leader NVIDIA, ChatGPT developer OpenAI, and other prominent billionaires or major tech companies are investing in a startup tech company developing humanoid robots—Figure AI Inc. Currently, tech giants like NVIDIA are actively seeking and exploring new application scenarios for artificial intelligence technology, with humanoid robots becoming a new trend. These tech giants seem to believe that humanoid robots will become one of the most important application scenarios for artificial intelligence (AI). NVIDIA CEO Jensen Huang mentioned at the 2023 ITF World Congress that the next wave of artificial intelligence will be a new type of AI called embodied AI. With the recent emergence of the generative video model Sora, which can understand and simulate the physical world in motion, the future development of larger-scale generative video models with physical world simulation capabilities may fully promote the growth of the humanoid robot industry. Insiders indicate that Figure AI, a startup supported by NVIDIA, OpenAI, and Microsoft, raised about $675 million in a funding round, with a pre-funding valuation of approximately $2 billion. Amazon founder Bezos invested in Figure AI through his company Explore Investments LLC, reportedly committing $100 million. Microsoft's (MSFT.US) major shareholder, OpenAI, will invest $95 million, while funds under NVIDIA (NVDA.US) and Amazon (AMZN.US) will each invest $50 million. Humanoid robots have become a key application frontier for leaders in the AI industry, enabling the application of cutting-edge AI technology, such as generative AI, to real-world tasks. At Figure AI, engineers are developing a humanoid robot called Figure 01 that closely resembles human form and motion. The company aims for this robot to perform dangerous tasks unsuitable for humans and hopes that this AI-enhanced humanoid robot will help alleviate labor shortages. In addition to the aforementioned tech giants, other major technology companies are also actively participating. Intel's venture capital arm will contribute $25 million, LG Innotek from the LG Group will provide $8.5 million, and Samsung Electronics' investment group has committed $5 million. Other significant investors include venture capital firms Parkway Venture Capital and Align Ventures, with the former investing $100 million and the latter providing $90 million. Cathie Wood's ARK Venture Fund is also participating with an investment of about $2.5 million, and Aliya Capital Partners is investing approximately $20 million. Other investors include Tamarack, investing about $27 million; Boscolo Intervest Ltd. with about $15 million; and BOLD Capital Partners with about $2.5 million. It is reported that OpenAI, the developer of the globally popular ChatGPT, had once considered acquiring Figure AI and is currently planning to invest $5 million. According to media reports from January this year, Microsoft and OpenAI led this round of funding. The star power of these two AI leaders helped attract substantial cash flow from other tech giants. According to insiders, the approximately $675 million raised in this round of funding is significantly higher than the $500 million Figure AI initially sought. Representatives from Figure AI and its investors declined to comment or did not immediately respond to media inquiries. Figure 01 quickly gained popularity for being able to independently complete a coffee-making process and perform coffee-pouring actions similar to human movements. If the final outcome isn't satisfactory, Figure 01 can adjust on its own without any remote human control. With a silver-black appearance, Figure 01 closely resembles classic robot images from Hollywood sci-fi movies. Figure 01 is arguably the world's first commercially viable autonomous general-purpose humanoid robot, designed to perform a wide range of tasks across various industries, including manufacturing, logistics, warehousing, and retail. This robot combines the dexterity of human form with cutting-edge AI technology, enabling it to understand and interact with its environment, think, learn, and handle various tasks. It is designed for deployment in the workplace to address labor shortages and ultimately to lead in eliminating unsafe and undesirable human jobs. In addition to its coffee-pouring functionality, Figure 01 integrates the latest AI technology, enabling it to perform a series of relatively complex tasks. By observing humans at work, Figure 01 can autonomously develop an understanding of task execution and complete these tasks independently. This capability allows Figure 01 to handle a variety of jobs, understanding and using tools, equipment, objects, and techniques used by humans, making it as adaptable and flexible as humans in a broader dynamic work environment. In terms of AI technology, based on large AI model technology, Figure 01 has observational learning capabilities, enabling it to complete tasks by watching human behavior, independently building understanding, and executing these tasks. This ability demonstrates its autonomy and learning capacity during task execution, marking a significant advancement in humanoid robot technology and the AI field. Specifically, Figure 01 can learn new tasks by watching videos, adding these tasks to its action library, and transmitting newly learned tasks to other Figure robots running the same system through collective learning. This means that once the learning process demonstrates robustness across different tasks, Figure 01 will be able to learn and execute a wide variety of complex tasks, such as peeling bananas, filing papers, opening and closing bottle caps, using wrenches, drills, angle grinders, and screwdrivers. Insiders expect the investors mentioned above to transfer funds to Figure AI next Monday (Eastern Time) and sign the formal investment agreements, but as the final details are drafted, these figures may change. Insiders also mentioned that the approximately $2 billion valuation is the pre-funding valuation, meaning it does not include the capital raised by Turing. As early as May last year, Figure AI raised about $70 million in a funding round led by Parkway. At the time, the company's CEO, Brett Adcock, stated, “We aim to be one of the first technology companies to bring truly practical and commercially viable humanoid robots to market.” Recently, the humanoid robot industry, based on artificial intelligence technology, has been extremely busy. Earlier this year, another OpenAI-backed Norwegian robotics startup, 1X Technologies, raised about $100 million. Vancouver-based Sanctuary AI is developing a humanoid robot called “Phoenix.” Global electric vehicle leader Tesla, arguably the leading company in the humanoid robot field, is developing a humanoid robot named Optimus. Tesla CEO Elon Musk has repeatedly emphasized that this is one of his most important projects. Amazon, which invested in Agility Robotics in 2022, is testing humanoid robots in one of its warehouses. According to the billionaire rankings, Amazon founder Bezos is the second wealthiest person in the world, having served as Amazon's CEO until 2021 and still remaining as chairman. His net worth is estimated to be $197.1 billion. NVIDIA CEO Jensen Huang mentioned at the 2023 ITF World Congress that the next wave of artificial intelligence will be a new type of AI called embodied AI. In addition, with the emergence of the generative video model Sora, Sora's ability to simulate the physical world may fully promote the development of the humanoid robot industry. From March 18 to 21, NVIDIA's annual AI conference, GTC (GPU Technology Conference) 2024, will be held at the San Jose Convention Center in the U.S. As one of NVIDIA's most important release platforms each year, GTC has become a globally recognized “AI weathervane,” and this year's GTC is the first in-person event in five years. According to NVIDIA, CEO Jensen Huang will announce the latest breakthroughs in accelerated computing, generative AI, and humanoid robotics at the event. In the pre-event activities, NVIDIA emphasized that it would release the latest achievements in the robotics field, with many leading global robotics companies showcasing the next generation of robotic products. These include Agility Robotics, Boston Dynamics, Disney, and Google DeepMind, which will display 25 robots, including humanoid robots and industrial robotic arms. It is reported that NVIDIA previously launched NVIDIA Isaac, an integrated platform specifically designed for robotics, aimed at accelerating the development and deployment of humanoid robots. The platform provides a complete set of tools and technologies, including machine learning, computer vision, simulation, and support for various robotic hardware, enabling developers and companies to create, train, and deploy highly autonomous humanoid robotic systems. Among them, Isaac SIM is a physics-based simulation environment that uses virtual reality technology to simulate the real world, allowing robots to learn and test in a virtual environment, speeding up development cycles and reducing the time and cost required for actual testing. At the end of the story, you can find more interesting cntents about AI on Picit.ai's blog and use its fabulous photo editing function for free.

How to Transform Your Photos into Anime-Style Art: A Step-by-Step Guide https://www.picit.ai/ https://www.picit.ai/features/ai-image-generator https://www.picit.ai/features/background-remover https://www.picit.ai/features/photo-enhancer Anime has captivated audiences around the world with its unique blend of vibrant colors, expressive characters, and stylized designs. Whether you're a fan of anime or simply love the aesthetic, you might have wondered how to turn your own photos into anime-style art. Thanks to advancements in artificial intelligence (AI) and digital tools, this process is now easier than ever. In this guide, we’ll walk you through the steps to transform your personal photos into stunning anime art using various tools and apps, complete with practical tips for achieving the best results. Choose the Right Tool or App for Anime Conversion The first step in transforming your photos into anime-style art is selecting the right tool or app. There are several popular options, each offering unique features to cater to different needs: Waifu Labs: A web-based AI tool that generates anime-style portraits. While it doesn’t convert photos directly, it allows you to create and customize anime characters based on AI-generated templates, which you can then modify to resemble your photo. ToonApp: A mobile app that provides a variety of cartoon styles, including anime. It’s user-friendly, making it a great choice for beginners. Simply upload your photo, apply the anime filter, and the app will do the rest. DeepArt.io: This web-based service uses neural networks to apply artistic styles, including anime, to your photos. Upload your image, choose an anime style, and let the AI work its magic. PicsArt: A versatile photo editing app with several anime filters and effects. It also offers manual editing tools, allowing you to enhance the anime look further. Anime Filters on Snapchat and Instagram: Both platforms offer anime-style filters that can instantly transform your selfies into anime characters. These are quick and fun to use, especially if you’re sharing on social media. Prepare Your Photo for the Best Results To achieve the best results, it's important to start with the right photo. Here’s how to prepare your image: Select a Clear, High-Quality Photo: The clarity and resolution of your photo play a significant role in the final output. Choose a well-lit image with clear facial features and minimal background distractions. Close-up portraits tend to work best. Simplify the Background: A busy or cluttered background can confuse AI tools, leading to less accurate results. If possible, use a photo with a plain background or edit the background out using software like Photoshop or GIMP. Enhance Lighting and Contrast: Adjust the lighting and contrast to make your photo's features more defined. Many apps have built-in tools for adjusting brightness, contrast, and saturation, which can help the AI better interpret your image. Crop and Center the Image: Crop the image to focus on the subject’s face or key elements. Centering the image ensures that the AI focuses on the right parts, leading to a better conversion. Step-by-Step Instructions for Using Popular Anime Conversion Tools Let’s go through the process of transforming your photo into anime-style art using one of the popular tools-Picit.ai.

Using Picit AI's innovative AI filters, you can effortlessly create your own unique and personalized AI artworks with just a few simple steps. Start by visiting the AI filter page on Picit AI, and click on the Get AI Artworks button to begin your creative journey. Next, select the photo you want to transform and upload it to the platform. Picit AI’s advanced technology will immediately get to work, converting your image into a beautifully crafted AI character. You’ll have the opportunity to explore a vast array of different anime art styles, allowing you to choose the one that best reflects your vision. Once you've selected your preferred style, click the Generate button to bring your anime creation to life. When you’re satisfied with the final result, simply click the Create Now button to save your personalized anime artwork instantly to your computer, ready to share or cherish forever. Conclusion Transforming your photos into anime-style art is a fun and creative way to blend personal memories with the distinct flair of anime. With the right tools and a bit of practice, you can easily create stunning anime art that’s perfect for sharing or personal enjoyment. Whether you’re a casual fan or an aspiring artist, these steps will help you bring your anime vision to life.

How to Identify and Fix Common Issues in Low-Quality Photos https://www.picit.ai/ https://www.picit.ai/features/ai-image-generator https://www.picit.ai/features/background-remover https://www.picit.ai/features/photo-enhancer https://www.picit.ai/features/image-upscaler

Low-quality photos are often the result of various issues such as poor lighting, blurriness, low resolution, or noise. Understanding the root cause of these problems is the first step in effectively enhancing and fixing your images. This guide will help you identify the common causes of low-quality photos and provide practical steps and tools to improve them. Let’s look at how to address these common issues with different tools and techniques. Fixing Blur Causes: Blur is often caused by camera shake, slow shutter speeds, incorrect focus, or subject movement.
Solutions:
Sharpening Tools: Use sharpening tools in photo editing apps like Adobe Photoshop, Lightroom, or GIMP. In “Photoshop”: Go to “Filter”, “Sharpen”, “Unsharp Mask” or “Smart Sharpen” to increase edge contrast. In “Lightroom”: Use the “Detail” panel to adjust the sharpening slider, focusing on edges while masking smooth areas to avoid over-sharpening. In “GIMP”: Use “Filters”, “Enhance”, “Unsharp Mask” to sharpen the image. “Stabilization Features”: If the photo is slightly blurry, apps like “Snapseed” offer a “Details” tool to improve sharpness.
AI-Based Tools: Use AI-powered tools like “Picit.ai” to recover details from blurry images.

Reducing Noise Causes: Noise usually appears as graininess in photos taken in low light or at high ISO settings.
Solutions:
Noise Reduction Tools: In “Photoshop”: Go to “Filter”, “Noise”, “Reduce Noise” to smooth out graininess. In “Lightroom”: Use the “Detail” panel and adjust the “Luminance” slider under Noise Reduction to reduce grain without losing detail. In “GIMP”: Apply the “Reduce Noise” filter found under “Filters”, “Noise”, “Reduce Noise”. AI-Powered Tools: Programs like “Picit.ai” use machine learning to distinguish between noise and details, providing better results. Shooting Tips: For future photos, use a lower ISO setting, stabilize the camera with a tripod, or increase the light in the environment. Improving Low Resolution Causes: Low resolution often occurs from cropping, using digital zoom, or starting with a low-resolution image.
Solutions:
Upscaling Tools: Use AI-based upscaling software like Picit.ai to enhance resolution without losing quality. Resampling in Photoshop: Go to “Image”, “Image Size” and choose “Preserve Details 2.0” when increasing the image size. Start with High-Quality Source: Whenever possible, shoot in a higher resolution or RAW format to retain maximum detail. Correcting Poor Lighting Causes: Poor lighting can result in underexposed (too dark) or overexposed (too bright) images, or images with harsh shadows and highlights.
Solutions:
Exposure Adjustment: In “Lightroom”: Adjust the “Exposure,” “Highlights,” “Shadows,” “Whites,” and “Blacks” sliders in the “Basic” panel. In “Photoshop”: Use “Curves” or “Levels” (found under “Image”, “Adjustments”) to fine-tune brightness and contrast. White Balance Correction: Adjust the white balance to ensure accurate colors. In “Lightroom”: Use the “Temp” and “Tint” sliders in the “Basic” panel. In “Snapseed”: Use the “White Balance” tool to adjust the color temperature. Fill Light or Flash: Use fill light or reflectors when shooting, or apply a controlled flash to improve lighting. Fixing Distortion Causes: Distortion occurs when wide-angle lenses or certain angles cause warping, such as barrel or pincushion distortion.
Solutions:
Lens Correction Tools: In Photoshop: Use”Filter”, “Lens Correction” to correct distortion. In “Lightroom”: Go to the “Lens Correction” panel and enable “Profile Corrections” to automatically fix common lens distortions. Perspective Correction: Use the “Transform” tools to adjust the perspective, ensuring vertical and horizontal lines are straight. Additional Tips for Enhancing Low-Quality Photos Start with High-Quality Images: Whenever possible, use a higher resolution, shoot in RAW, and ensure good lighting to minimize the need for correction later. Use Tripods and Stabilizers: To prevent blur and camera shake, especially in low-light conditions or when using slow shutter speeds. Learn Your Tools: Familiarize yourself with your camera and editing software settings to make real-time adjustments and prevent quality issues. Conclusion: From Low-Quality to High-Quality Photos By understanding the common causes of low-quality photos and using the right tools and techniques, you can effectively enhance and improve your images. Whether you are dealing with blur, noise, low resolution, poor lighting, or distortion, there are practical solutions for each problem. With practice, these techniques will become second nature, allowing you to transform any low-quality photo into a stunning visual.