AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

CoreWeave posted FY25 revenue of $5.1B and a $66.8B backlog but remains unprofitable and highly leveraged. Read why CRWV stock is upgraded to Strong Buy.

I tried training a classifier, then found a better solution.

Abstract: In high count rate gamma-ray spectral measurements using a HPGe detector, pulse pile-up events cause a hard challenge for pulse height analysis due to distortions in pulse waveform and ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

After back-to-back winter weather storms, school districts say they have reached out to state legislators to request the option to allocate additional remote learning days.On Saturday, leaders with ...

Elon Musk’s X has become a top site for images of people that have been non-consensually undressed by AI, according to a third-party analysis, with thousands of instances each hour over a day earlier ...

Earlier this week, some people on X began replying to photos with a very specific kind of request. “Put her in a bikini,” “take her dress off,” “spread her legs,” and so on, they commanded Grok, the ...

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...