In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

By ‘agent’, Moltbook doesn’t mean the 007 kind. It’s an AI agent, an emerging kind of bot that can act independently of ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

A player's true worth in any coalition is the average marginal contribution across all possible group combinations” Lloyd S. Shapley, 2012 Nobel laureate, transformed economics with the Shapley value.

Artificial intelligence (AI) is said to be a "black box," with its logic obscured from human understanding—but how much does ...

According to God of Prompt on Twitter, a recent visual demonstration by @deliprao illustrates how Reinforcement Learning (RL) operates, highlighting the core cycle of agent-environment interaction, ...

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...