Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
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AI-guided LNP design for targeted in vivo mRNA delivery
Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and ...
An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed the first RNA-based genetic switch that precisely replicates the logical ...
Predicting the adhesive force between steel reinforcement and concrete is crucial as it influences stress distribution and the overall mechanical behavior of reinforced concrete. This study proposes a ...
Carnegie Mellon University’s Center for AI-Driven Biomedical Research (AI4BIO) chose its first research projects that will use artificial intelligence and machine learning to unlock the complex ...
Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
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