Research
Selling authorship corrupts the literature that AI systems and reviewers rely on, so citations tied to agencies like this need extra scrutiny.
Retraction Watch·2026-10-16
Research
Removing the need for human demonstrations would ease one of the main data bottlenecks in training robots.
Robotics & Automation News·2026-10-16
Research
Faster entry into first-in-human trials shortens the path for new therapies, including the longevity drugs this corpus tracks.
US Food and Drug Administration·2026-10-16
Research
The adoption gap has closed but the gaps in frequency and trust have not, which matters for anyone designing AI products or training.
Pew Research Center·2026-10-16
Research
Sponsored access lowers the cost barrier for university biology groups to try a domain-specific frontier model.
OpenAI·2026-10-15
Research
Practical proofs of correct execution could let outsourced or agent-run computation be checked without trusting the operator. The speed figures are Microsoft's own.
Microsoft Research·2026-10-15
Research
Security teams that need to run and audit their own models may not have to pay a quality penalty. Agent benchmark leaderboards can also hinge on turn limits rather than ability.
arXiv·2026-10-15
Research
Scam screening inside encrypted chats has usually meant sending messages to a server. Small open models on the phone remove that trade-off.
Google DeepMind·2026-10-14
Research
Vision-only robot models struggle when a grasp or object is hidden. Adding touch and memory targets exactly the reliability gap that holds back real deployments.
Robotics & Automation News·2026-10-14
Research
Software upgrades to autonomy, shipped years after launch, are what extended this robot's useful range. That lesson carries over to robots in the field on Earth.
IEEE Spectrum·2026-10-13
Research
Body parts that can do more than one job point to simpler, cheaper robots for confined or awkward spaces.
IEEE Spectrum·2026-10-08
Research
Large AI-generated proof dumps need the same checking as human work. Errors that spread across dependent papers show why the machine-checkable formal versions are what counts.
Retraction Watch·2026-10-08
Research
Genomic foundation models are being pitched for variant interpretation; this is independent evidence that zero-shot outputs can be wrong in direction, not just in size, so validate before relying on them.
bioRxiv·2026-10-07
Research
Most clinical prediction models work in hours or days, while bedside decisions are made in minutes. This is a step toward models that can inform those decisions, pending peer review and prospective testing.
medRxiv·2026-10-06
Research
If drugmakers start citing aging-clock results, biological age becomes a marketed endpoint, and how much the clocks disagree with each other becomes a practical question.
MIT Technology Review·2026-10-06
Research
Machine-checkable Lean proofs are the strongest evidence a lab can offer for a reasoning claim, and they let mathematicians verify the work instead of taking it on trust.
OpenAI·2026-10-06
Research
Decision models are being added to gateways and local runtimes fast; this is early independent evidence on where they are reliable and where they are not, especially for routing.
arXiv·2026-10-05
Research
If video-pretrained policies scale as claimed, the robot-data bottleneck eases, and open weights let labs test that claim themselves.
The Robot Report·2026-10-02
Research
An 84-day disclosure gap for a breach of a national system is the detail that will shape incident-reporting rules for AI labs.
MIT Technology Review·2026-09-30
Research
Provenance for designed biological molecules is a biosecurity lever that regulators and labs are likely to start asking about.
Google DeepMind·2026-09-30
Research
This is an AI scientific harness with results checked in the wet lab, a step beyond benchmark-only claims.
Microsoft Research·2026-09-29
Research
A precomputed variant-effect map makes genome-wide predictions easy to query; treat them as hypotheses until a disease-specific check like the ALS study backs them.
Google DeepMind·2026-09-08
Research
Reliable JSON out of a tiny local model is the cheapest fix for the parsing failures that break agent tool calls.
Hugging Face·2026-09-03
Research
Video has been the expensive modality; a cheaper token path makes video-in-the-loop features worth costing out again.
Google DeepMind·2026-09-01