This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...
First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
AI is changing the way we work, live and think, but privacy and trust must not be sacrificed in the process. Our best defence ...
What began as a stack of fragile, century-old mine maps is being transformed into an immersive 3D window into the past by ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
Long-term expectations for the Global Market Index (GMI) remained steady at a 7%-plus pace for the annualized total return ...
The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...
Released every 12 to 18 months, 3D NAND scaling outpaces most other semiconductor devices in replacement rate and performance ...
A structured data ownership model—rooted in ICH GCP principles, supported by MHRA and FDA interpretations, and documented in validated system specifications—will enable sponsors to maintain compliance ...
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