Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
PsyPost on MSN

AI model suggests that dreams shape daily spirituality over time

A new study reports that dreams featuring supernatural beings or events can influence a person’s feelings of closeness to God ...
IEEE

A Physical Mechanism-Constrained Deep Learning Hybrid Model for Retrieving Surface Temperature Under Nonprecipitation Cloud

Abstract: The wide range acquisition of all-weather land surface temperatures (LSTs) from passive microwave (PMW) remotely sensed data contributes to understanding the land-atmosphere interactions, ...
Frontiers

Predicting preoperative lymph node status in patients with cervical cancer: development of interpretable machine learning model and support for the biological plausibility

Department of Ultrasonic Medicine, Fetal Medical Centre, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China Background: Lymph node metastasis serves as a crucial ...
IEEE

On the Conflict Between Robustness and Learning in Collaborative Machine Learning

Abstract: Collaborative Machine Learning (CML) allows participants to jointly train a machine learning model while keeping their training data private. In many scenarios where CML is seen as the ...
Phys.org

Between rain and snow, machine learning finds nine precipitation types

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
CBSSports.com

NFL longshot picks, odds, player props, predictions: Model backing Travis Etienne Over 70 yards on MNF

The Jacksonville Jaguars are 3-1 heading into Monday Night Football. Running back Travis Etienne is finding success on the ground, and the SportsLine Machine Learning Model expects Etienne's solid ...
CBSSports.com

Patriots vs. Bills NFL player props: Self-Learning AI backs Hunter Henry under 40.5 receiving yards on SNF

Week 5 of the NFL schedule presents a big opportunity for the top two contenders in the AFC East when the New England Patriots battle the Buffalo Bills on Sunday Night Football. A win by New England ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...