Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Maybe you’ve repeatedly deleted then redownloaded social media apps, bought a Brick, or attempted a “digital detox”—only to ...

Abstract: In the field of unmanned aerial vehicles (UAVs) decision-making, cooperative target search by multiple UAVs represents a central research focus. Recent advancements in neural-network-based ...

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert attention. We do it all the time, but little ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

The story of attention in AI is really the story of how machines learned to stop treating every bit of information as equally important. Early models tried to remember everything at once, which is ...

Abstract: Wind energy is the fast moving renewable energy sources in the world. However, wind energy deals with many challenges namely seed capital, motionless property of wind plants and most ...

Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and bats—has long fascinated biologists. Now, a research team led by Prof. Zou ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...