Artificial intelligence unlocks extreme weather mysteries

From lake-draining drought in California to bridge-breaking floods in China, extreme weather is wreaking havoc. Preparing for weather extremes in a changing climate remains a challenge, however, because their causes are complex ...

DeepTFactor predicts transcription factors

A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...

Ancient hominins used fire to make stone tools

Human ancestors not only knew how to use fire, they also developed sophisticated technologies for making tools. Researchers at the Weizmann Institute of Science recently employed cutting-edge technologies of their own to ...

Intelligent software tackles plant cell jigsaw puzzle

Imagine working on a jigsaw puzzle with so many pieces that even the edges seem indistinguishable from others at the puzzle's center. And to make matters worse, the pieces are not only numerous, but ever-changing. In fact, ...

Study finds growth of genomic databases affects species accuracy

There are many ways to slice and dice genomic data to identify a species of bacteria, or at least find its close relatives. But fast techniques to sequence genomes have flooded the public databases and in a biased fashion, ...

Security tools for Industry 4.0

An increasing number of unsecured, computer-guided production machinery and networks in production facilities are gradually evolving into gateways for data theft. New security technologies may directly shield the sensitive ...

Our ambiguous world of words

(Phys.org) —Ambiguity in language poses the greatest challenge when it comes to training a computer to understand the written word. Now, new research aims to help computers find meaning.

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