Nature

Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

A deep-learning framework reveals whole-body perturbations at cell level

Many diseases, including lifestyle-induced conditions such as obesity, have far-reaching effects that impact multiple organ systems throughout the body. These systemic effects underscore the ...
World Bank

Classification of Fragile and Conflict-Affected Situations

The list of fragile and conflict-affected situations (FCS) is released annually by the World Bank Group (WBG) and aims to inform strategic and operational decision-making within the WBG. The list ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
CNN

Iran eyes a new source of power deep beneath the Strait of Hormuz

Emboldened by its successful wartime blockade of the Strait of Hormuz, Iran is turning to one of the hidden arteries in the global economy: subsea cables beneath the waterway that carry vast internet ...
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
Frontiers

Physics-Informed Artificial Intelligence for Biomedical Sensing, Imaging, and Signal Interpretation

Recent advances in artificial intelligence have transformed biomedical sensing and imaging, yet many data-driven models remain limited by poor ...
Hosted on MSN

Scientists detected a mysterious signal from deep space lasting seven hours. Now they believe they've cracked it

In 2025, astronomers detected a strange signal of data – a 'blast' from space – that lasted for a total of seven hours. Now, a science team believe they've worked out what it was. It could have been ...
NPR

Deep Dive

June 23, 2026 • While workers, who were employees in government or public institutions, feel vindicated by how their lawsuits concluded, they are still grappling with the aftermath.