"Today’s graduates may change careers five, six, or even seven times in their lifetimes. That reality calls for an education ...

A hybrid linear pricing model is developed using a min-max approach with a Lévy-frailty multivariate default model, ...

Columbia University M.P.S. in Insurance Management graduate Phil Offutt shares how AI is leveraged to find correlations and ...

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce ...

Researchers have recently developed a novel reinforcement learning framework named Parallel-R1, which successfully enhances the inference capabilities of large language models (LLMs), achieving an ...

The team reported that their AI copilot solution improved performance by a factor of 3.9 times for the paralyzed participant ...

Former IIT Goa Director Prof. B.K. Mishra has stressed the need to shift from a linear to a circular resource model by recycling and valorizing industrial by-products such as anode slime, ...

Based on the Qwen3-Next architecture, the team simultaneously open-sourced the Qwen3-Next-80B-A3B series models, which include two major versions: instruction fine-tuning (Instruct) and inference ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

On Wednesday, former Twitter head of product Kayvon Beykpour announced the launch of Macroscope, an AI system aimed at ...

At its best, AI extends team capacity without undermining trust: handling after-hours inquiries or surfacing red flags in ...