GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Most people assume AI tools remember everything you’ve ever said. In this Today in Tech episode, Keith Shaw sits down with ...
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Deep learning–based codon optimization framework boosts protein expression in E coli
By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...
Key opportunities include the transition to transformer-based neural models for higher accuracy & efficiency, integration with cloud workflows, and growing demand for content localization across ...
Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...
Pocket FM has appointed Vasu Sharma, a former scientist at Meta AI (FAIR), as its Head of Artificial Intelligence, as the ...
Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.
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