AI Tackles Greater Frontiers In 2025AI Tackles Greater Frontiers In 2025

Games and engineering design will progress, and AI platforms will be able to do more.

Spencer Chin, Senior Editor

January 16, 2025

3 Min Read
Physical design is expedited with Nvidia's Cosmos AI platform.
Nvidia's new Cosmos AI platform helps engineers with physical design.Nvidia

When Nvidia CEO Jensen Huang opened the recent Consumer Electronics Show (CES) with a 90-minute discourse on where AI (artificial intelligence) is headed and the proudly showed the company’s latest AI processors, it was obvious that this industry is now firmly implanting itself in the mainstream of technology, not just in the US but worldwide. Even though Huang was speaking to a technically-savvy but non-specialized audience, he showed no reluctance to explain the intricacies of AI processors and openly shared the company’s ambitious plans to continue maintaining a dominant position in the growing AI market.

Although technical and geopolitical issues remain, industries everywhere are adapting AI or developing hardware and software to meet an insatiable appetite for AI tools and services. The question is longer “if” but “how”.  AI will expand its influence in areas such as gaming,  and will continue to be a greater factor in engineering and manufacturing particularly as tools become more capable of advanced physical design.  

AI to transform gaming

At Omdia’s AI Summit in New York City last month, several speakers noted that AI will increasingly be incorporated into the game development process. Brian Tanner, Co-Founder & CEO - Artificial Agency, said in a presentation that generative AI will help create characters in games that understand context and be able to perform higher levels of abstraction and reasoning, and in turn undertake more sophisticated actions than characters in more traditional games whose actions are largely programmed. He used the example of a game character able to distinguish color keys and make the correct choices in an action game.

Related:How Aviation Manufacturers Are Using AI

Gen AI to do more

Generative AI is also projected to have a greater impact in engineering. While tools such as ChatGPT have up to now been associated with natural language inquires, Lucas Garcia, Principal Product Manager for Deep Learning at MathWorks, expects ChatGPT to make a major foray into engineering tools. “While the initial focus on text-based GenAI continues to influence software-centric workflows, its impact on engineering tools with higher-level abstractions is lagging. In 2025, MathWorks expects continued progress in applying GenAI to “no code” engineering tools such as block diagrams, 3D models, and flow charts. These tools enable engineers to graphically represent complex systems, effortlessly edit components, and manage the inherent complexity. More tools in this space will integrate AI copilots that can understand engineering models and assist in their design and management.”

Engineers adapting AI

Product design is also moving to AI. A recent Avnet survey found 42% of engineers have incorporated AI into their product design process and are currently shipping those products. The survey predicts the highest rate of adoption for AI will be in process automation (42%), followed by predictive maintenance (28%). But the engineers surveyed also acknowledged that AI could transform their work in ways they have not envisioned earlier.

Nvidia ratchets up AI platforms and tools

Meanwhile, AI tools will continue to multiply and beef up their capabilities. At the recently concluded CES, Nvidia announced its Cosmos World Foundation Model Platform to accelerate physical AI development. The platform comprises generative world foundation models, advanced tokenizers, guardrails and an accelerated video processing pipeline built to advance the development of physical AI systems such as autonomous vehicles (AVs) and robots. The models offer developers an easy way to generate massive amounts of photoreal, physics-based synthetic data to train and evaluate their existing models. Developers can also build custom models by fine-tuning Cosmos WFMs.

Nvidia also continues to unleash more powerful tools to run what they expect to be larger, more robust AI models. At CES, the company unveiled its GeForce RTX 50 Series Desktop and Laptop GPUs, which are built on the NVIDIA Blackwell. According to Nvidia, the GeForce RTX 50 Series GPUs can run creative generative AI models up to 2x faster in a smaller memory footprint, compared with the previous generation. They feature ninth-generation NVIDIA encoders for advanced video editing and livestreaming, and come with NVIDIA DLSS 4 and up to 32GB of VRAM to tackle massive 3D projects.

About the Author

Spencer Chin

Senior Editor, Design News

Spencer Chin is a Senior Editor for Design News, covering the electronics beat, which includes semiconductors, components, power, embedded systems, artificial intelligence, augmented and virtual reality, and other related subjects. He is always open to ideas for coverage. Spencer has spent many years covering electronics for brands including Electronic Products, Electronic Buyers News, EE Times, Power Electronics, and electronics360. You can reach him at [email protected] or follow him at @spencerchin.

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