Bridging the technical divide in biological engineering Co-founders Tristan Bepler and Tim Lu developed the platform to ...

India's AI ambitions face a critical challenge beyond technology: accountability. AI engineer Abdul Nadeem Mohammed, who ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Abstract: Machine learning accounts for considerable global electricity demand and resulting environmental impact, as training a large deep-learning model produces 284000kgs of the greenhouse gas ...

Abstract: We consider the problem of estimating channel and detecting active users in the uplink of a massive machine type communication (mMTC) network. We propose a centralized coupled prior based ...

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...

Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...

Water is the most abundant liquid on Earth's surface, and it is highly anomalous compared with other liquids because it ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...