Patients and doctors are turning to AI for diagnoses and treatment recommendations, often with stellar results, but problems ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

Researchers develop an AI model that uses ECG data to predict the risk for adverse vascular events in patients with migraine.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Overconfidence about uncertainty is so extreme among US and NATO national security officials, it can cancel out what they ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

VanderSchaaf, C. L. (2025) Predictive Ability of Volume-Basal Area Ratios (VBARs) in Minnesota, USA Forests to Estimate ...

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.

Learn about the Sikkim TET Syllabus 2025, including topic-wise syllabus, weightage, preparation tips, and more on this page.

In this letter, a novel recursive total least squares (RTLS) algorithm that is grounded in a constrained Lagrange optimization of the errors-in-variables model is presented. The proposed RTLS method ...