MITOLINE®-Powered Platform Delivers Optimized Hit Molecule, Strengthening the Foundation for Future Pre-Clinical and Commercial DevelopmentNeve ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

New York University and IBM have initiated a postdoctoral program to conduct quantum computer research in the areas of chemistry, computer science, engineering, materials science, physics, and ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

Focusing on inputs has never been as meaningful as measuring output, and the same is true for AI: The engineers who use AI ...

1. Stop campaigning, and start operating. The cycle of posting and forgetting is one of the most expensive habits in ...

Four UW–Madison faculty members have been named Vilas Research Professors, recognizing their leadership in cell biology, ...

Abstract: In high-dimensional scenarios, path planning is a challenging and computationally complex optimization task that requires finding optimal paths within complex domains. Metaheuristic (MH) ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

Abstract: With autonomous robots becoming increasingly integrated into human society, the efficiency of their path optimization is of paramount importance. To address the issue of redundant states in ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...