Will AI Become Friend or Foe to Animators?

Fast forward to the early 20th century, and Winsor McCay left an indelible mark by bringing “Gertie the Dinosaur” to life through hand-drawn animation, marking a classic moment in the history of the art form. Accordingly, animators might have a tough time maintaining consistency overlooking the alignment of the AI-generated content with their video’s vision. As a result, animators and rigging artists would be compelled to invest time and energy in expanding their technical knowledge and understanding the complete workflow for better usability. Story setting is a crucial element in the video production process as it’s here when the entire video tone is defined.

AI is rapidly changing the world of animation, and it has the potential to be even more transformative than ever before. However, this doesn’t mean traditional or real animation will lose its place and importance in the industry. The animation industry is ever-evolving and it was born out of artists’ experimentation with filmmaking in the early https://chat.openai.com/ 20th century. With experimentation comes discovery and with discovery comes innovation and evolution. It’s worth noting, however, that not everyone is so worried that AI will be taking their jobs. In fact, Dan Root, a freelance 2D animator and lecturer in the U.K., thinks there might be ways to use AI to “enhance” the animation process.

To solve this problem, companies must first build an environment in which the AI scheduling agent can learn to make good predictions (Exhibit 1). In this situation, relying on historical data (as typical machine learning does) is simply not good enough because the agent will not be able to anticipate future issues (such as supply chain disruptions). In 2018, we explored the $1 trillion opportunity for artificial intelligence (AI) in industrials.1Michael Chui, Nicolaus Henke, and Mehdi Miremadi, “Most of AI’s business uses will be in two areas,” McKinsey, March 7, 2019. As companies are recovering from the pandemic, research shows that talent, resilience, tech enablement across all areas, and organic growth are their top priorities.2What matters most? NVIDIA is also providing an SDK for RTX Remix Runtime to allow modders to deploy RTX Remix’s renderer into other applications and games beyond DirectX 8 and 9 classics.

The characters are the soul of your animation, and designing them with empathy means they must be relatable and authentic. When your characters have depth and complexity, they feel like real individuals rather than caricatures. This depth encourages viewers to invest emotionally in the characters’ journeys, making every triumph and setback personally impactful. Looming for Hollywood as a whole but animation in particular is the threat of AI and its potential impact on jobs and artistry. In November, DreamWorks founder Jeffrey Katzenberg turned heads by predicting that AI could someday cut the number of artists required to make a world-class animated feature by 90 percent.

You can foun additiona information about ai customer service and artificial intelligence and NLP. It’s a tool that can help animators create more stunning visuals with greater efficiency than ever before. Overall, artificial intelligence animation signifies a thrilling frontier in the entertainment domain. As AI technology keeps evolving, we can foresee a future where animated characters exhibit enhanced realism, narratives become more engaging, and the creative process adopts a more dynamic character than ever before.

Learning

Its influence has the potential to transform the creative process by generating stunning visuals, realistic characters, and dynamic environments. LinkedIn continues to be bullish on its video-based learning platform, and it appears to have found a strong current among users who need to skill up in AI. Cohen said that traffic for AI-related courses — which include modules on technical skills as well as non-technical ones such as basic introductions to generative AI — has increased by 160% over last year.

For the past six years, AI adoption by respondents’ organizations has hovered at about 50 percent. If 2023 was the year the world discovered generative AI (gen AI), 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year, with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead. YouTube, Facebook and others use recommender systems to guide users to more content.

In animation, this means developing characters and stories that reflect genuine feelings and situations. By doing so, your audience will relate to your characters on a personal level, seeing parts of their own lives and struggles mirrored on the screen. The online survey was in the field from February 22 to March 5, 2024, and garnered responses from 1,363 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 981 said their organizations had adopted AI in at least one business function, and 878 said their organizations were regularly using gen AI in at least one function. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP. Gen AI is a new technology, and organizations are still early in the journey of pursuing its opportunities and scaling it across functions.

The result has been slow rates of adoption, with many companies taking a wait-and-see approach rather than diving in. “We look forward to doing integrations with models like Google Gemini, for instance, in the future. Under the arrangement, the Justice Department will take the lead in investigating whether the behavior of Nvidia, the biggest maker of A.I. The F.T.C. will play the lead role in examining the conduct of OpenAI, which makes the ChatGPT chatbot, and Microsoft, which has invested $13 billion in OpenAI and made deals with other A.I.

You can issue a prompt like ‘Write me a song that sounds like Taylor Swift, sad ending, up-tempo,’ and the resulting song sounds somewhat like her. Someone could include it in a video game or a bar scene in a movie for free.” Generative AI could do the same kind of repurposing with video content owned by the studios, he added. Get monthly insights on how artificial intelligence impacts your organization and what it means for your company and customers. However, when a company or individual outside of those creators aim to use materials they don’t own in conjunction with AI, that becomes something very different. Artificial intelligence can never fully take over a human animator’s job, as feared by some.

This problem has become particularly relevant given all of the supply chain issues over the past year. Using scheduling agents based on reinforcement learning,3Reinforcement learning is a type of machine learning in which an algorithm learns to perform a task by trying to maximize the rewards it receives for its actions. For more, see Jacomo Corbo, Oliver Fleming, and Nicolas Hohn, “It’s time for businesses to chart a course for reinforcement learning,” McKinsey, April 1, 2021. Companies

can translate this issue into a question—“What order is most likely to maximize profit?

By integrating AI, you can surely speed up your processes and improve your output but can not completely rule out the narrative of removing the human touch. Considering how the role of AI is multifaceted, there’s a need to assess its depth and the impact it can have on the animation industry. As AI integrates ever deeper into the animation industry, considering its ethical implications and challenges is very important. For instance, AI automates the process of rotoscoping, a labour-intensive technique used to separate objects from their backgrounds in video sequences.

Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. Nearly half of respondents (47%) expect to use it for developing 3D assets, while 38% will use it for 2d concept art and storyboards. Thirty-five percent want to use it for creating animated characters (synthetic actors, in their terminology) for film/tv, while 31% want to use it for writing scripts. “If you’re in the business of creating copyright, you also have to be in the business of respecting other people’s copyright,” says Gaffney. “And I think a lot of the generative AI that’s trained on older [artists’ and studios’] copyright is no different than a studio using pirated software.

Beyond mere mimicry, it learns and adapts, infusing characters with a heightened sense of realism by capturing human-like features in movement. Animators must find a way to balance their traditional skills with the use of AI tools to create faster output without compromising their own creative vision. This can be a challenging task for animators, especially when working with new technology. The integration of AI in the animation industry has opened new doors for creative possibilities, transformed animators’ roles and skills, and impacted various industries, from medical training and surgeries to the gaming industry.

Industry standards and strict cybersecurity measures must be implemented to safeguard the intellectual property and creative ideas generated through AI-powered tools. This transformative technology is offering animators and 3D designers innovative tools to streamline production and enhance visual quality, making the choice of AI-generated animation an easy one. Deep learning examines deeply into data, learns complicated patterns, and gains knowledge with each frame analyzed.

Utilizing deep learning algorithms, it analyzes vast amounts of data to construct lifelike movements, textures, and visual effects. The technology behind Sor AI promises to revolutionize the animation process by automating certain tasks, such as character animation, environmental design, and even storytelling. In conclusion, the dynamic combination between AI and animation has brought in a transformative era, changing the way animation takes place. From the evolution of animation techniques to the integration of AI-generated 3D models, the collaborative possibilities are changing storytelling and visual experiences.

While it offers undeniable benefits in terms of speed, cost-effectiveness, and creativity, it also raises concerns about the erosion of human craftsmanship and the loss of emotional depth in animations. The future lies in finding a harmonious Blend of AI and human artistry, where the strengths of both can be leveraged for the creation of truly captivating and emotionally resonant animated works. With careful exploration and thoughtful integration, AI has the potential to bring animation to new heights, captivating audiences and transforming the industry. Disney has basically created an intuitive machine learning animation system that allows animators to create highly realistic 3D facial expressions and identities in a quicker and more efficient process.

Classifiers and statistical learning methods

Beyond mastering these tools, APU nurtures a culture of innovation and excellence such as APU’s emerging talent, Dao Qyunh Nhu’s graduation project ‘Reply’, made an impression at the Kancil Awards 2023 by winning a Bronze medal. Another definition has been adopted by Google,[309] a major practitioner in the field of AI. This definition stipulates the ability of systems to synthesize information as the manifestation of intelligence, similar to the way it is defined in biological intelligence. Artificial intelligence provides a number of tools that are useful to bad actors, such as authoritarian governments, terrorists, criminals or rogue states. Non-monotonic logics, including logic programming with negation as failure, are designed to handle default reasoning.[31]

Other specialized versions of logic have been developed to describe many complex domains. Entertainment executives are literally frothing at the mouth to start implementing GenAI into their pipelines.

In agriculture, AI has helped farmers identify areas that need irrigation, fertilization, pesticide treatments or increasing yield. Early work, based on Noam Chomsky’s generative grammar and semantic networks, had difficulty with word-sense disambiguation[f] unless restricted to small domains called “micro-worlds” (due to the common sense knowledge problem[32]). Margaret Masterman believed that it was meaning and not grammar that was the key to understanding languages, and that thesauri and not dictionaries should be the basis of computational language structure.

Will AI Animators Replace Real Animators?

Some algorithms are even capable of generating entire animated scenes, although the quality is still quite poor. However, thanks to technology and machine learning animation, animators are able to create 30-minute animations and even complex animation styles more efficiently. The downside is that it can drastically affect your system’s memory usage, using up more and more storage over time.

It may eventually become a viable option for animation, but the creativity and expertise of a human animator are irreplaceable. It is difficult to predict exactly how the use of AI in the animation industry will evolve in the future, but if current trends hold, we should continue expecting AI to take a bigger role in all aspects of animation production. Content strategy in animation is being reshaped by AI’s ability to analyze viewer data and predict trends. This strategic application of AI enables creators to craft content that resonates more deeply with audiences. The use of AI and Content Strategy ensures that animated content is not only captivating but also strategically aligned with audience preferences.

• The information will be used to develop assistive clothing that can detect unsafe conditions and intervene to protect low back health.
• The evolution of animation became a dynamic journey, marked by continuous experimentation and creativity with each passing decade.
• Soft computing was introduced in the late 1980s and most successful AI programs in the 21st century are examples of soft computing with neural networks.
• Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis.

After decades of collecting information, companies are often data rich but insights poor, making it almost impossible to navigate the millions of records of structured and unstructured data to find relevant information. Engineers are often left relying on their previous experience, talking to other experts, and searching through piles of data to find relevant information. For critical issues, this high-stakes scavenger hunt is stressful at best and

often leads to suboptimal outcomes.

Using Midas Creature allows the animators to tell the system to choreograph and figure out the movements themselves, thus, having no more need for designing a character from scratch. For animators, getting an animated character’s facial expression right is one of animation’s most critical and challenging aspects. Hence, a convincing facial animation requires animators to go the extra mile and ensure that their 3D-rendered faces are as realistic as possible. While we’ve explored the surface of AI’s role in animation, the story is continuously unfolding. Advancements in AI and Animation will not only shape the pixels of the future but also the very processes that breath life into them. I encourage you to keep a curious and open mind — delve deeper, experiment boldly, and embrace the AI revolution in animation.

Some see AI as a tool to be mastered and carefully applied as issues surrounding copyright, creation and overall use are sorted out. With all the questions AI raises, they view it as just another technological evolution. As one generation of artists had to contend with Photoshop and what it meant for digital imaging, this wave of artists will have to learn how to use AI. AI in animation allows animators to spend more time coming up with fresh concepts and ideas and less time on monotonous tasks such as rotoscoping and keyframing.

What’s more, with AI in Content Personalization, animations can now speak to audiences in a more tailored, intimate manner, offering unique experiences that resonate on a personal level. This alliance between AI and animation is not just about making things better or faster; it’s about redefining the canvas of creativity entirely. In a world where the lines between technology and creativity increasingly blur, AI and Animation stand as a testament to that burgeoning frontier. Artificial intelligence streamlines complex animation procedures, enabling artists to achieve higher-quality results at unprecedented speeds.

SLMs provide tremendous possibilities for Windows developers, including content summarization, content generation and task automation. RAG capabilities augment SLMs by giving the AI models access to domain-specific information not well represented in ‌base models. RAG APIs enable developers to harness application-specific data sources and tune SLM behavior and capabilities to application needs. “The [strike-related] shortages of the coming years will offer us new opportunities,” says du Pontavice, who recently retooled his TV project “Lucy Lost” as a feature, and will launch production later this year. Craft narratives that explore a range of emotions and situations that your audience can identify with.

As AI becomes more capable of generating content that mimics human creativity, it becomes increasingly difficult to determine ownership and authorship. The practical applications of AI-assisted animation extend beyond the domain of the entertainment industry. In medical training and surgeries, 3D animation models are utilised to illustrate human anatomy, aiding in better visualisation and understanding of complex procedures. Another example is AI-assisted background generation, where image generation algorithms and AI work together to create realistic backgrounds or enhance existing ones. Automating these tasks enables animators to devote more time to the creative aspects of their work. Integrating AI technologies into workflows enables animators to concentrate on the creative facets of their work.

This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology. There is little doubt that the emergence of generative artificial intelligence models will massively disrupt the future of the entertainment industry. This week, a new report outlined just how devastating the impact of Generative AI (GenAI) could be to artists over the next three years.

Through motion, we translate brands, products, and ideas into captivating and impactful content. Additionally, because you’re allowing your creative juices to run wild, you might even combat burnout. Burnout usually results when you’re constantly overworked and doing activities that drain your energy.

Is A.I. Animation An Improvement On Humans?

Virtual scene creation with AI leverages machine learning, generative AI, and visual effect technologies to bring immersive and visually stunning environments to life for industries such as gaming and entertainment. One such example is VOCA, an advanced model that uses speech signals to generate the animation of adult faces, offering applications such as virtual reality avatars and in-game videos. The integration of AI in character animation not only enhances visual appeal but also opens doors for fantastic storytelling experiences. It’s unsurprising then that animation studios are increasingly embracing AI technologies to optimise their production processes and unleash new artistic possibilities. Traditional optimization approaches collapse in an attempt to manage significant uncertainty and fluctuation in supply or demand.

Bergquist said that before the WGA strike started in May, many screenwriters told him that they view the likes of ChatGPT as a “great creative assistant tool” but not something that will replace human writers. “It’s good at brainstorming ideas, but it will output only average content,” Bergquist asserted. “It’s nowhere near capable of the symbolic abstraction necessary for script development, and it can’t output a script with narrative structure and character arcs.” At least not now. Future language models with higher levels of intelligence and new paradigms for AI might be able to do so. He also believes that many production companies will embrace the technology because they are already shooting on large LED-based screens and will need generative images for them. Bergquist said he expects that tools offering virtual actors and voice synthesis will be most aggressively adopted by short-form creators who distribute their work on TikTok or YouTube and by video game producers.

Organizations can use AI to augment a product’s bill of materials (BoM) with data drawn from its configuration, development, and sourcing. This process identifies opportunities to reuse historical parts, improve existing standard work, and support preproduction definition. With these insights, companies can significantly reduce engineering hours and move to production more quickly. It has almost become shorthand for any application of cutting-edge technology, obscuring its true definition and purpose. Therefore, it’s helpful to clearly define AI and its uses for industrial companies. SAN FRANCISCO — Apple officially launched itself into the artificial intelligence arms race, announcing a deal with ChatGPT maker OpenAI to use the company’s technology in its products and showing off a slew of its own new AI features.

One that is highly optimistic regarding how it promises to elevate an animator’s skills and the other, that believes that it will snatch away jobs and destroy human creativity. AI in animation is pretty dynamic I believe considering its current developments and how it promises to revolutionize the way animators and video production agencies go about their routine stuff. DreamWorks co-founder Jeffrey Katzenberg worried the animation industry with comments about replacing 90% of labor on a feature-length animated film thanks to AI. With TAG’s contract up in 2024 and another possible strike on the horizon, Katzenberg may have laid out the next battleground for the entertainment industry.

Ensuring diversity and avoiding perpetuation of stereotypes requires careful curation of training data and ongoing scrutiny of AI-generated content. The industry must actively work towards transparency and inclusivity in the development and deployment of AI tools. The usage of AI-generated 3D models improves the level of detail in animation entertainment. AI can analyze and duplicate complex features like textures, lighting, and physical nuances, resulting in characters and environments that are much beyond what was previously possible.

Adobe has released their Sensei AI Animation Technology within their Character Animator software that uses AI-powered lip-synching to assist in matching dialogue with animated characters. Adobe’s new software allows AI animators to assign mouth sounds to mouth shapes, and the software accurately syncs both the character movement and the audio frame-by-frame. Animation is more of an aid for automation and 3D modeling, but there are a few other things AI animators use this technology for. Animation techniques like Rotoscoping have now been effectively automated by AI software like Comixify. While it enhances efficiency, concerns about job displacement and artistic integrity loom.

The animations you get are “on average about 80% of the way there,” Carr estimated. Animating a 3D character from scratch is generally both laborious and expensive, requiring the use of complex software and motion capture tools. Cartwheel wants to make simple animations as easy as describing them, generating a basic movement with AI and letting creators focus on more expressive tasks.

Automating labour-intensive tasks is a key advantage of AI in the animation process and allows animators to dedicate their attention to creativity and storytelling. The continuous evolution of AI technologies is helping them become essential tools for the animation industry, diversely elevating the animation process. AI is still in relatively early stages of development, and it is poised to grow rapidly and disrupt traditional problem-solving approaches in industrial companies. These use cases help to demonstrate the concrete applications of these solutions as well

as their tangible value.

The advent of CGI allowed animators to harness the power of computers, constructing 3D worlds that felt remarkably real. Animation transcended traditional hand-drawn magic to become a realm of digital wizardry. In this blog, I discuss its profound impact, what makes AI in animation interesting, its benefits, AI tools for creating animated videos, etc. There is a looming fear that the reliance of the animation process on AI could reduce the creative contribution of human animators and artists, potentially causing a standardization of content. These advancements allowed computers to scrutinize and mimic intricate human movements and expressions. They could now envisage animated characters and scenes that exhibited a level of previously inconceivable realism.

Generative AI, he added, is only capable of producing even more formulaic content and will make the predictability worse. “Entertainment relies on new ideas, Chat GPT and this technology can’t produce them,” Taplin added. In creating animated videos, sound design is one of the widely used techniques in animation.

This will free up animators to focus on the more creative aspects of animation, such as character design, storytelling, and dialogue. Animators must now balance their traditional animation techniques with AI tools, adapting to the increasing demand for animators in the AI era. In addition, animators must develop new skills to stay competitive and realise the potential of ai in animation industry these new technologies. AI can also be used to generate unique visuals that may not have been thought of before, allowing animators to push the boundaries of what’s possible in animation production. AI is a powerful tool that has a wide range of potential applications in animation production and it’s a great way to bring a new level of quality to the creative process.

• In addition, AI can also discover relationships in the data previously unknown to the engineer.
• The first benefit is that AI can automate a lot of the heavy lifting, freeing up animators to focus on other tasks.
• “The principles of competition enforcement apply whether an innovation is powered by steam, by transistors or by reorganizing human thought through machine learning,” Assistant Attorney General Jonathan Kanter said in a speech last month.
• Last year, NVIDIA made RTX Remix Runtime open source, allowing modders to expand game compatibility and advance rendering capabilities.
• Dao Qyunh Nhu’s graduation project ‘Reply’, made an impression at the Kancil Awards 2023 and Quarterfinalist at the Student World Impact Film Festival 2023.

Some consider rotoscoping cheating but it’s actually a legitimate animation technique. Many animation studios, such as Disney, have used rotoscoping in making their animated films. Technical artists, who form the bridge between the creative and technical realms of animation, are finding their roles evolving with advancements in AI. Now, they must not only understand the artistic process but also master AI-driven tools to optimize and fine-tune animations.

The information will be used to develop assistive clothing that can detect unsafe conditions and intervene to protect low back health. The long-term vision is to create smart clothing that can monitor lumbar loading; train safe movement patterns; directly assist wearers to reduce incidence of low back pain; and reduce costs related to health care expenses and missed work. Empathy, the capacity to understand and share the feelings of others, is not just a vital skill in personal relationships but also a powerful tool in the animation industry. By incorporating empathy into your work, you can create animations that resonate more deeply with audiences, fostering a stronger emotional connection and enhancing the storytelling experience. This article will guide you through the nuances of weaving empathy into your animation projects, ensuring that your creations not only entertain but also touch the hearts of viewers. AI ingenuity has streamlined these traditionally time-consuming tasks, allowing aspiring animators, VFX artists, and character designers to get into the heart of storytelling and perfecting hyper-realistic visuals.

With AI in animation, animators can produce more realistic and lifelike characters and landscapes, improving the audiences’ engagement with animation. From the time of cave-dwellers, creativity has always been in the blood of humanity. Technological advances, software, and techniques make it easier for animators to leverage their creative prowess using computers—this is widely known as AI animation. Additionally, an animation tech startup known as Midas Interactive launched a tool called Midas Creature that automates complex 2D and 3D animations.

By incorporating AI, animation studios are now able to convert performances into animated sequences in real-time, drastically reducing production times. This shift is revolutionizing how directors and animators approach storytelling, providing a fluid and interactive environment for creators to experiment with instant feedback on their creative choices. People who draw their animated characters by hand are dubbed real or traditional animators. Thanks to the introduction of computers and, of course, animation in computer systems, this form of animation has been largely phased out of the animation industry. However, there are still many animators who prefer this technique and consider it the truest form of animation.

In some problems, the agent’s preferences may be uncertain, especially if there are other agents or humans involved. This is all thanks to the AI algorithm that digs through older video consumption of users and suggests optimal video content specifically for the user’s preference. Luckily, AI also plays a significant role in the voiceover chores in animation post-production. AI voices allow animators to reduce their working hours while also looking at other aspects of the animation they are working on. Modeling a still 3D face may be an easy-peasy task for some animators, but animating a 3D face filled with facial expressions while capturing subtle details can be a tremendous task, even for a seasoned animator.

But there is one big difference – the animation industry requires human creativity to function and thrive, and that’s something AI can never replace. AI animators might find themselves relying too much on their technology, so creating animations with traditional techniques now and again might be a good idea to keep your creative juices flowing. LAIKA, the company responsible for Coraline and many other fantastic titles, has partnered with the technology titan Intel to use AI and machine learning to accelerate certain animation tasks. However, animators are always looking for faster, more efficient ways to get the job done, and also for resources that help with experimentation and creativity. Whether you’re working on games, educational content, films, television series, or personal projects, it’s always great to find a new tool that gives you more options while reducing the need for editing.

After all, if the trends in animation are any indication, the influence of AI will undeniably spread its wings to other realms of creativity, such as AI in Music Production, proving the harmony between AI and human creativity knows no bounds. The future is not just animated with AI; it’s symphonically orchestrated with it, too. Automation using AI in animation workflows enables studios to manage resource-intensive tasks efficiently. From coloring frames to animating background characters, AI’s assistance allows for more focus on creative aspects, optimizing both time and cost without compromising artistic integrity. Advanced AI algorithms can now analyze and replicate human subtleties, producing characters that are incredibly lifelike.

Like Valérie Schermann, Dyens took advantage of the trails blazed by Michel Ocelot, founding Sacrebleu in 1999 and subsequently spotlighting Annecy-acclaimed filmmakers like Anca Damian, Rémi Chayé and Benoît Chieux. With the roving, immersive “Flow,” Dyens hopes to offer a 3D proposition unlike any presented before. As fate would have it, Paronnaud will bring his long-awaited “Into the Wonderwoods” to Annecy this year. Indeed, several of the industry’s leading producers struck similar, contradictory notes, both celebrating this year’s hearty show of force in Annecy and Cannes while venting frustrations about greater structural impediments. Responses suggest that, in many industries, organizations are about equally as likely to be investing more than 5 percent of their digital budgets in gen AI as they are in nongenerative, analytical-AI solutions (Exhibit 5).

Apple’s jump into AI underscores the extent to which the tech industry has bet its future on the technology. The iPhone maker has generally positioned itself over the years as charting its own way, focusing on a closed ecosystem centered on its expensive phones and computers, touting that model as better for users’ privacy. But the embrace of generative AI shows that the technology trend is too powerful for even Apple to ignore. Windows Copilot Runtime to Add GPU Acceleration for Local PC SLMs

Microsoft and NVIDIA are collaborating to help developers bring new generative AI capabilities to their Windows native and web apps.