Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.

Discover the game-changing potential of local AI in 2026.

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

FPGAs are used to emulate sensors and other chips for early testing. The company has worked on an owner recognition feature, ...

Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. Suzanne is a ...

Enzymes help with specific functions that are vital to the operation and overall health of the human body. They help speed up chemical reactions and are essential for respiration, digestion, muscle ...

Indicator species are living organisms that tell us that something has changed or is going to change in their environment. They can be easily observed, and studying them is considered a cost-effective ...

Quantum physics is the study of matter and energy at its most fundamental level. A central tenet of quantum physics is that energy comes in indivisible packets called quanta. Quanta behave very ...