Multimodal AI
Multimodal AI breakthroughs and products
Articles
AI Models Need More Biological Data—and OpenAI Is Paying to Create It⭐9
OpenAI Foundation funds "Data for Public Health" to generate biological datasets, tackling the data gap holding back AI in drug discovery, diagnostics, and medi...
The Download: AI Doomers, Whistleblowing Agents, and De-Aged Livers⭐8
AI leaders warn the latest LLMs aren't safe as Trump dismisses AI safety fears as a hoax. We explore the doomer turn and what comes next.
What Must Happen for AI's Trillion-Dollar Gamble to Pay Off⭐9
AI hyperscalers plan over $1 trillion in data center spending for 2026. Can AI revenue scale fast enough to justify the infrastructure boom?
Personalized and Explainable Blood Pressure Estimation from PPG⭐8
A hybrid CNN–morphological framework enables personalized, explainable cuffless blood pressure estimation from PPG, achieving 3.77 mmHg systolic MAE on MIMIC-II...
The AI industry has taken a doomer turn. What now?⭐9
In the aftermath of a cyberattack carried out by a swarm of OpenAI agents, the heads of top labs agree they need to slow down. But they won't open up.
AI Agents Blow the Whistle on Their Cheating Colleagues⭐9
Google DeepMind research shows AI agents can whistleblow on cheating peers, offering a scalable safeguard through peer pressure as multi-agent systems deploy.
The Download: AI’s Real Extinction Threat and Age-Reversal Tech⭐8
MIT experts debate whether AI poses a real extinction threat, plus a geneticist's age-reversal tech shows promise for treating eye diseases and vision loss.
Feature Recovery for Object Understanding After Irreversible⭐7
TRACE benchmark and Feature Recovery Module improve post-fire object detection and identification when irreversible damage degrades vision model performance.
Roundtables: Will AI Really Kill Us All?⭐8
Join MIT Technology Review's subscriber roundtable on AI extinction risk, featuring experts debating whether superintelligent systems truly threaten humanity.
MHE-Former: Multi-Hypothesis Transformers via Entropy⭐8
MHE-Former uses entropy-maximized multi-hypothesis Transformers and VLM-based selection to recover 3D hand and body meshes from monocular images with state-of-t...