Physical AI Hits A Data Labeling Wall That Only Cash Can Fix

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Frontiers

Fairer non-negative matrix factorization

There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed ...
Phys.org

Machine learning helps solve a central problem of quantum chemistry

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...
Frontiers

Clinical problem selection for machine learning-based clinical decision support in the intensive care unit: complexity, actionability, and the way forward

Machine learning (ML)-based clinical decision support (CDS) in the intensive care unit (ICU) has the potential to improve medical decision-making and patient outcomes. The chasm between model ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
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 ...
Microsoft

Microsoft’s analog optical computer cracks two practical problems and shows AI promise

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.
Psychology Today

How AI Exposed a Problem With Memory-Based Learning

When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...
Scientific Research Publishing

Altalhan, M., Algarni, A. and Turki-Hadj Alouane, M. (2025) Imbalanced Data Problem in Machine Learning: A Review. IEEE Access, 13, 13686-13699.

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...
National Review

Democracy’s Machine Learning Problem

A Visit to Jefferson’s Monticello as the Declaration of Independence Turns 250 Schnabel’s Not-So-Divine Comedy Pat Buckley at 100 We can’t let either artificial intelligence or demagogic politicians ...