techtimes

OpenAI’s Astra Solves Ten Decade-Old Math Problems With Machine-Checkable Lean Proofs

OpenAI's unreleased Astra model has produced what its October 2025 announcement only pretended to: genuine solutions to ten long-standing open problems in mathematics and theoretical computer science, ...
JD Supra

All Bark, No Bite: Federal Circuit Rejects Dental-Related Machine Learning Claims as Too Generic

The decision highlights the importance of documenting technical innovations during product development and how having technical and legal ...
TMCnet

WiMi Releases Resource-Efficient Quantum Convolutional Neural Network Based on QRAM, Accelerating the Practical Implementation of Large-Scale Image Classification Applications

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the release of its latest independently developed ...
Tech Times

Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

SWAU introduces new certificate in machine learning

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...
Digital Trends

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 ...
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 ...
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 ...
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 ...
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 ...