1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

K2 Think compares well with reasoning models from OpenAI and DeepSeek but is smaller and more efficient, say researchers based in Abu Dhabi.

Modern AI systems are no longer built around a single model that handles every task. Instead, they rely on collections of models, each designed for specific purposes. At the center of this setup is ...

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Input and output of the semi-supervised ML model for the specificity of α-conotoxins to human nAChR subtypes. Features considered in the semi-supervised ML model included the amino acid sequences ...

The machine learning field is moving fast, and the yardsticks used measure progress in it are having to race to keep up. A case in point, MLPerf, the bi-annual machine learning competition sometimes ...

Slack trains machine-learning models on user messages, files and other content without explicit permission. The training is opt-out, meaning your private data will be leeched by default. Making ...

Just like medicine helps the human body, electrolyte additives act as medicine for batteries, improving their efficiency and longevity.