By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Power systems today operate in an environment where reliability and safety must be maintained despite rising loads, expanding ...
For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
A wearable device pairs glucose-responsive insulin with algorithmic pump control, creating dual safety loops that reduced ...
According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
For over 60 years, polyethylene (PE) and ethylene-propylene rubber (EPR) underground cables have powered communities, ...
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DeepCodon: A rare-codon–aware AI tool boosts protein expression in E. coli
A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...
Generative AI is fueling accelerated growth in worldwide computing power requirements, yet the industry encounters ...
Generative AI is fueling accelerated growth in worldwide computing power requirements, yet the industry encounters ...
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