The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...

Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...

In today’s computerised world, the word ‘computer’ is everywhere, from home to school to offices to even our pockets! However ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is occurring autonomously on the edge—on the small devices that gather ...

Tech companies have touted scientific findings from AI systems. But can they truly produce bona fide advancements?

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...