Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
The Register on MSN
Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
Crooks start most payments fraud by trying to figure out if the crime is actually worth the effort, sending small probes to see if there is enough money to steal. Stripe contends there is a way to ...
Tech Xplore on MSN
'Discovery learning' AI tool predicts battery cycle life with just a few days' data
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...
Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
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