But what about accuracy? For GM’s purposes, Strauss says accuracy is not a huge concern at the design stage because finer details are ironed out later in the process. “When it really starts to matter is when we’re getting close to launching a vehicle, and the coefficient of drag is going to be used for our energy calculation, which eventually goes to the certification of our miles per gallon on the sticker.” At that stage, Strauss says, a physical model of the car will be put into a wind tunnel for an exact number. PhysicsX’s Corbo argues that, with the right data, the AI model accuracy can su
AI Models Trained on Physics Are Changing Design EngineeringMemory is arguably the most serious constraint on modern AI large language models LLMs . According to one influential paper , LLM token generation is an inherently memory-bound task, meaning the rate at which models output text is limited by how quickly data can be read in from memory. …
… PhysicsX , another physics-based AI company, announced a collaboration with Nvidia to advance open standards for such models, also at GTC. …
… The new inference chip underscores the ongoing trend of AI adoption, which shifts the computational load from just building ever bigger models to actually using those models at scale. “Nvidia’s announcement validates the importance of SRAM-based architectures for large-scale inference, and no one h… …
… Not everyone needs to train the robots from scratch, Huang says, and most people probably shouldn’t. “If you gate pre-training, the field just never grows,” he says. “We should be able to provide a high-quality, state-of-the-art pre-trained model that anyone can go and take and fine tune for their … …
… The NPU is used for some background AI features, like Windows Recall. However, the GPU will remain in the driver’s seat for active AI tasks, including large language models LLMs and image generation. …
… Facilities that train AI models are being built at the gigawatt scale , drawing about the same amount of power as a midsize U.S. city. …
… The attraction of AI for decoding, says Sam Stanwyck , director of quantum product at NVIDIA, is that while models are time-consuming to train, they are extremely fast at inference—and thanks to parallelization across many chips, that speed holds even as qubit counts grow. …
… Elon Musk’s SpaceX has acquired xAI also Musk’s and is planning a constellation of space-based data centers. Google , not to be outdone, announced Project Suncatcher in partnership with Planet , planning to launch two satellites equipped with Google Tensor Processing Unit TPU AI chips by early 2027. …
… Dunking an AI Factory Yesterday, the MLPerf AI training competition announced a new benchmark—energy consumption. …
… WOJTEK RADWANSKI/AFP/GETTY IMAGES In November 2025, the Ukrainian military announced it had been conducting successful trials of the Merops Shahed drone interceptor system developed by the U.S. startup Project Eagle , another of former Google CEO Eric Schmidt’s Ukraine defense ventures. …