More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Emails and Excel are still the primary drivers of the $5 trillion retail industry, in the U.S. alone. The opportunity for ...

Researchers have developed a powerful computational framework that shows how carefully optimized nanotube shapes can amplify ...

Expert software and systems engineer Allan Sun shares the system he developed for tackling obstacles big and small.

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Stanford engineers debuted a new framework introducing computational tools and self-reflective AI assistants, potentially advancing fields like optical computing and astronomy.

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

A new open-source framework is making it easier for developers to build, deploy, and manage an AI agent at scale. Agentic AI promises systems that can autonomously reason, plan, and execute complex ...

Introduction: The ability to solve complex mathematical problems has become a key indicator of students' mathematical literacy and innovative capacity. Methods: Based on the TIMSS 2023 data and ...

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