The Lancet

Screening and diagnostic strategies for active pulmonary tuberculosis among people in prison in Malaysia: a prospective diagnostic study

Among people in prison, adding CXR or CRP to symptom screen was more effective than symptom screen alone. In addition to ...

The Human-First Guide To Responsible AI: An Action Plan For Leaders

There has never been a time in history when algorithms, rather than humans, are making so many critical decisions.

Drawing voting lines: Can algorithms make U.S. elections fairer?

Needing to redraw North Carolina's legislative districts under a court order, lawmakers last year employed a state lottery ...

Neural Dispatch: Decoding Adobe Premiere for iPhone, defining real Jobs, and cost of ‘free’ AI

Last time on Neural Dispatch: Agentic AI’s lack of intelligence, a DeepSeek moment, and Nvidia’s AI supercomputer Adobe ...
IEEE

Design and Control for Piezoelectric Energy Harvester Based on a Heuristic Optimization Algorithms

Abstract: Energy harvesting represents a significant focus of attention for researchers to make optimal use of the energy available around in the environment, whether it is a natural phenomenon or ...
BMJ Open

Randomised controlled trial of VR-based observation meditation with AI coaching (‘Otti’) for stress reduction in university students in the United States: study protocol

Introduction Stress is a major health issue in contemporary society, and mindfulness-based approaches reduce stress and anxiety but face practical barriers to consistent practice; this protocol ...
Nature

AI discovers learning algorithm that outperforms those designed by humans

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...
IEEE

A Comprehensive Review of Transformer Design Optimization Using Evolutionary Algorithms: Advances, Challenges, and Future Directions

Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
marktechpost

Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs

W4S operates in turns. The state contains task instructions, the current workflow program, and feedback from prior executions. An action has 2 components, an analysis of what to change, and new Python ...
Frontiers

Toward cross-cultural emotion detection: the Indian spontaneous micro-expression dataset

1 Department of Humanities and Social Sciences, Indian Institute of Technology Kanpur, Kanpur, India 2 Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India While ...
Frontiers

The design of multiple orthogonal signals based on auto-encoder optimization network

As an important part of active sonar, transmitted signals have a great influence on the performance of ocean exploration, however, in the actual environment, due to the existence of the Doppler ...