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 ...
For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...
Power systems today operate in an environment where reliability and safety must be maintained despite rising loads, expanding ...
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 lengths grow. At a batch size of 64, the model processes approximately 1,500 ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
For over 60 years, polyethylene (PE) and ethylene-propylene rubber (EPR) underground cables have powered communities, ...
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 ...
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 ...
Amazon Web Services (AWS) will be the first to use copper produced at a mine in Arizona using bioleaching technology ...