Artificial intelligence has transformed many corners of medicine, yet one stubborn problem continues to limit its reach in clinics: most diagnostic algorithms are built to consume a single, tidy stream of data. Real patients do not come that way. A heart patient arrives with an echocardiogram video, a twelve-lead electrocardiogram tracing, a panel of myocardial
Depression is one of the most widespread and disabling health conditions on the planet, yet its diagnosis still rests almost entirely on subjective clinical interviews and self-reported questionnaires. There is no blood test, no scan, no single objective marker that a physician can point to and say, with confidence, that a patient is depressed. That
Cape Town – Omar Al-Mukhtar University won first place for Best Research Presentation and third place for Best Scientific Paper at the Second International Conference on Artificial Intelligence and Generative AI 2026, held in Cape Town, South Africa. The university said the winning paper, number 15, is titled “Comparative Evaluation of Lightweight Deep Learning Architectures
New Delhi: A Harvard University physicist, who used Anthropic’s Artificial Intelligence model Claude to produce 36 scientific manuscripts in three months, is unsure of how to prepare the next generation of scientists, as skills once considered essential can now be handed to AI. “I still don’t know how to train graduate students,” wrote Matthew Schwartz
Abstract Mpox lesions can resemble other dermatological conditions, motivating image-based screening, yet published studies remain difficult to compare owing to differences in dataset construction, augmentation policy, and evaluation design. This study provides a leakage-aware benchmark for binary mpox classification using a unified dataset assembled from MSLD v1.0 and v2.0. Seven pretrained backbones and a weighted
Summary: A new study from Ludwig-Maximilians-Universität München (LMU) shows that humans draw a strict psychological line between intelligent behavior and true subjective experience in artificial intelligence. Published in Cognition, the study found that even when an AI system behaves identically to a human under the exact same conditions, people refuse to attribute consciousness to it.
Harvard Business Review Logo Bernhard Lang/Getty Images Hierarchy does more than route information; it also verifies: deciding what information means, what deserves the firm’s attention, which outputs can be trusted, and which are worth Somewhere in your company today, an expert rejected a perfectly plausible answer. A controller caught a revenue figure that counted deferred
Researchers built a closed-loop AI scientist that generated biological hypotheses, designed experiments, directed laboratory automation, analyzed results and used new evidence to refine later questions. Working with brewer’s yeast, the system generated 1,933 candidate hypotheses and experimentally uncovered previously underexplored interactions, including aminoadipate partially protecting cells from formic acid stress. The laboratory was not completely
Atmospheric Soaring Technologies (Atmosoar) is a leading climate change startup utilizing big data to improve predictions. Specifically, when working with aerial technologies like drones, climate change is making it more difficult to predict when is a good time to operate. This summer, I led the evaluation and integration of AI into regional weather prediction, selecting
Search agents powered by large language models (LLMs) are transforming how enterprises retrieve information. Rather than requiring users to craft the perfect query, a search agent autonomously decides what to search for, which retrieval strategy to use, and when to stop searching. It does this across multiple rounds of interaction, refining its approach based on