In 2026, AI research is moving from simply scaling models toward probing their fundamental limits, with benchmarks like MLRegTest revealing gaps in logical generalization and causal reasoning.

A study using the MLRegTest benchmark tested 1,800 artificial languages to evaluate whether neural networks can learn underlying rules rather than just patterns. The results show that while models ...

Abstract: Brain tumors rank among the most lethal forms of cancer, and their early detection is crucial for improving patient outcomes. Beyond timely identification, accurately determining tumor type ...

India is among the first countries in the Global South to develop an open Health AI benchmarking platform to evaluate artificial intelligence models on diverse Indian datasets ...

AS the Department of Science and Technology-Philippine Institute of Volcanology and Seismology (DOST-Phivolcs) assesses a ...

Synthetic microbiomes to treat disease. Sea levels may rise faster than we thought. AI for scientific researchers. All that ...

Artificial Intelligence-driven solutions aimed at transforming healthcare claims management under the Ayushman Bharat Pradhan ...

Overview: Beginner projects focus on real datasets to build core skills such as data cleaning, exploration, and basic ...

India has launched an open Health AI benchmarking platform to evaluate artificial intelligence models on diverse Indian ...

Rocket Companies activity within the NYSE Composite highlighted rising options trading, digital mortgage services, housing ...

AI adoption raises profound ethical concerns—such as bias, transparency, privacy, and fairness—that ERISA fiduciaries must ...

This article is about a real event. It is not satire, parody, or metaphor. In late April 2026, OpenAI publicly explained why ...