The performance of five machine learning algorithms (logistic regression, support vector machine, random forest, XGBoost and CatBoost) was evaluated using accuracy, sensitivity, specificity, positive ...

Mathematicians love the certainty of proofs. This is how they verify that their intuition matches observable truth.

In a world where automation once threatened to replace human labor, a new frontier is taking shape—one where artificial intelligence (AI) doesn’t substitute human expertise but strengthens it. Gaurav ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...

One of the biggest early successes of contemporary AI was the ImageNet challenge, a kind of antecedent to contemporary ...

Humans learn by breaking through and plateauing, persisting and resting, and, occasionally, experiencing the blissful flow state. Mastering a skill can take decades, but the learning process unfolds ...

If you were to stop a (relatively technical) stranger on the street and ask what AI is, chances are they would describe a ...

Small language models should be more cost effective to deploy than LLMs, offering greater privacy, and performing specific or tightly-defined tasks. But is it early days for SLMs?

Apr. 24, 2025 — Humans are better than current AI models at interpreting social interactions and understanding social dynamics in moving scenes. Researchers believe this is because AI neural ...

The multi-agent reinforcement learning (MARL) algorithm proposed in this paper addresses the above challenges and significantly improves the coordination among teammates by using communication ...

This project aims to develop a system that can detect suicidal ideation on Twitter using Natural Language Processing (NLP) and Machine Learning (ML) models, including Logistic Regression, Support ...