Moving past conceptual hype, the company showcased deployable physical AI solutions — from electronics manufacturing to ...

Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren't ...

Enterprise AI is at an inflection point. What began with centralized, cloud-scale large language models (LLMs) is moving ...

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.

Researchers from Georgia Institute of Technology published a technical paper titled “Open DRAM Model—Part II: Enabling ...

Underground on Purdue University's campus is the only nuclear reactor of its kind in the U.S. Although used only for research ...

The landscape of high-performance computing (HPC) storage is undergoing significant change. Traditional simulation and data engineering workloads are increasingly running alongside generative AI, ...

AI is great at automation, simulation, prediction and augmentation. It might even turn engineers into super-engineers but not ...

Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...

Formula 1 has long been known as the pinnacle of motorsport, where success depends on far more than driver talent alone. Behind every race-winning performance is an enormous investment in engineering, ...

Virtual cell models that enable the prediction of cell behavior across scales and biological contexts are rapidly emerging at the forefront of drug discovery. Tom Sercu, PhD, vice president of AI and ...

Guiding AI weather models to better preserve physical consistency during training could be the key to addressing limitations ...