Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that omits traditional physics constraints like energy conservation and equivariance.
Traffic engineering for converged networks is challenging--especially with the nature of bursty data traffic mixed with various real-time communications. The FCC paper "Broadband Availability Gap (OBI ...
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Local AI models challenge costly cloud subscriptions
A new generation of efficient local AI models like Qwen 3.6 and MiniCPM-V is delivering performance close to or surpassing leading cloud-based systems at a fraction of the cost. These models run on ...
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