Neuromorphic computing is a computing approach that mimics how the human brain works. Our gray matter is a marvel of nature, capable of handling huge volumes of data with incredible energy efficiency.

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

Researchers have created a new theoretical framework that shows how memory-preserving "memtransistors" could overcome the intrinsic limits in efficiency faced by conventional semiconductor transistors ...

Neal J. Riley is a digital producer for CBS Boston. He has been with WBZ-TV since 2014. His work has appeared in The Boston Globe and The San Francisco Chronicle. Neal is a graduate of Boston ...

Using AI chatbots for even just 10 minutes may have a shockingly negative impact on people’s ability to think and problem-solve, according to a new study from researchers at Carnegie Mellon, MIT, ...

Apps that record visits are becoming popular, but they come with privacy and accuracy concerns. By Simar Bajaj At your next appointment, your doctor may have a new kind of assistant listening in: ...

A new technical paper, “Device/circuit simulations of silicon spin qubits based on a gate-all-around transistor,” was published by Teikyo University and RIKEN. “We theoretically investigated the ...

[Maximilian Milovidov is a freshman at Columbia University and a member of TikTok's Youth Council. He used a large language model to edit this essay for length and a human to edit for content. This ...

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...

Most AI training teaches you how to get outputs. Write a better prompt. Refine your query. Generate content faster. This approach treats AI as a productivity tool and measures success by speed. It ...

Quantum technology has reached a turning point, echoing the early days of modern computing. Researchers say functional quantum systems now exist, but scaling them into truly powerful machines will ...

Artificial intelligence (AI) has become the workload that defines today’s semiconductor scaling. Whether in hyperscale data centers training foundation models or at the network edge executing ...