Quantum-informed AI improves long-term turbulence forecasts while using far less memory

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...
Fierce Biotech

Small pools, big ideas: How the rare disease community is reimagining clinical trials

The traditional gold standard of clinical trials with a randomized, placebo-controlled design involving hundreds of patients ...

From folding boxes to fixing vacuums, GEN-1 robotics model hits 99% reliability

To help solve this problem, Generalist has relied on “data hands,” a set of wearable pincers that capture micro-movements and ...
ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...
Wired

Yann LeCun Raises $1 Billion to Build AI That Understands the Physical World

Meta’s former chief AI scientist has long argued that human-level AI will come from mastering the physical world, not language. His new startup, AMI, aims to prove it. LeCun argues that most human ...
Sports Illustrated

Logano Wins Duel 1; Mears Advances to Daytona 500 As LaJoie Crashes

Joey Logano took a win in the America 250 Duel No. 1, and Casey Mears was able to advance to the Daytona 500 field as Corey LaJoie crashed near the front of the field on the final lap. Corey LaJoie's ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
MIT Technology Review

Yann LeCun’s new venture is a contrarian bet against large language models

In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs. Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian ...
Quanta Magazine

Distinct AI Models Seem To Converge On How They Encode Reality

Read a story about dogs, and you may remember it the next time you see one bounding through a park. That’s only possible because you have a unified concept of “dog” that isn’t tied to words or images ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
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 ...