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AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
PM This week in cybersecurity: botnets, RCE flaws, AI-driven attacks, stealers, and more. Fast, no-fluff roundup.
We ventured into dangerous waters for some underwater metal detecting, but what we didn’t expect was to be surrounded by crocodiles and a massive python. This video takes you into the wild, where we ...
EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...
A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...
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Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
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