Tech Xplore on MSN

AI model extracts hidden semiconductor properties from simple transistor tests in under 1 millisecond

A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...

Inocras and KAIST Introduce DNAChunker, a Learnable Tokenization Model for DNA Language Models, During ICML

Inocras, a bioinformatics-led company harnessing the power of whole genome data and proprietary analytics to deliver curated ...
The Manila Times

European Patent Granted for ECG-Based Assessment of Diastolic Function, Expands HeartSciences’ Patent Portfolio to More Than 45 Granted Patents

Patent covers machine-learning models that use ECG data to estimate echocardiogram parameters indicative of diastolic function ...
Technology Networks

Predictive Modeling for Compound Prioritization

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

They’re the mysterious numbers that make your favorite AI models tick. What are they and what do they do? MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...
Morning Overview on MSN

Large AI models learn by tuning billions of internal settings called parameters

Researchers at OpenAI trained a single language model on 175 billion learned numerical weights, each one adjusted during ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
techtimes

Transfer Learning Slashes Cosmology AI Costs: Neutrino Mass Degeneracy Triggers Negative Transfer

A strategy borrowed from generative AI — train cheaply on the familiar, then fine-tune on the hard problem — can cut the number of expensive physics simulations needed by nearly a factor of ten. But a ...