Science

Mental bootstrapping enables human-level concept learning in self-supervised deep models

How agents acquire abstract concepts from sparse, diverse examples—often without explicit supervision—remains a central ...

Machine learning methods move self-driving labs closer to materials discovery at scale

Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for ...

Machine learning method uncovers hidden patterns in DNA methylation

In a study recently published in Nature Communications, researchers from Berlin, Potsdam, and Jena present a new method for ...
Ecommerce Fastlane

How Machine Learning Models Are Built, Trained, and Maintained in Enterprise Systems

Enterprise machine learning succeeds when a specific business decision, reliable data, production integration, and ongoing ...
quantumzeitgeist

Researchers classify neutrino events with a quantum computer

Researchers at UPV/EHU, Harvard, & TECNALIA are using quantum computers to classify events detected by neutrino telescopes, ...

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposes a cutting-edge quantum machine learning technology ...
digitaltrends.com

Steam Machine reviews praise Valve’s hardware. The real problem is its four-figure price tag

The review embargo for Valve’s Steam Machine is finally up, and after reading through impressions from major publications, one thing becomes immediately clear: the reviews aren’t nearly as mixed as ...
science

Scalable multiplexed machine learning gas sensor chips for food classification

Here, we address this problem using carbon nanotube (CNT) field-effect transistors (FETs) in which the base device structure is lithographically fabricated before the deposition of gas-sensitive ...
Eos

Collinearity is Not Always a Problem in Machine Learning

The workflow used in the paper is illustrated here, showing how synthetic geological models were constructed and how their geophysical properties were derived via forward simulation. Then, different ...
PNAS

Adaptable microplastic classification using similarity learning on µFTIR spectra collected from µFTIR focal plane array imaging

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
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 ...