Leadership doesn’t just fail through abuse or incompetence—it also fails through silence. When leaders avoid action, trust erodes, culture decays, and employees pay the price.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

A controversial new movement promoting the "science of math" has come into the math establishment's crosshairs.

Introduced with bipartisan sponsorship in March of 2025, the No Unreasonable Payments, Coding, or Diagnoses for the Elderly (No UPCODE) Act intends to address a major problem in Medicare payment ...

Abstract: Knowledge transfer-based evolutionary optimization has garnered significant attention, such as in multitask evolutionary optimization (MTEO), which aims to solve complex problems by ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

Poornika Ananth does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Scroll down to see the video recording. (The recording will be posted a few days after the workshop.) The Global Policymaking Community is an online space for policy practitioners worldwide to explore ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Curriculum learning is a class of training strategies that organizes the data being exposed to a model by difficulty, gradually from simpler to more complex examples. This research explores a reverse ...