IBM opens a model for time-series forecasting
Granite PatchTST-FM-r2 can be tested on your own data. Alongside a single forecast, it provides a distribution of possible outcomes.
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Granite PatchTST-FM-r2 can be tested on your own data. Alongside a single forecast, it provides a distribution of possible outcomes.
A safe assistant is defined not only by its answers, but also by what it is allowed to touch.
The interesting prospect is not another chatbot, but continuing an unfinished task without explaining everything again.
A flowing conversation may be useful. It does not, by itself, mean the request was understood correctly.
OpenAI has begun rolling out a new generation of its image model.
The mathematical result awaits independent assessment; this is not a new model release.
The research database helps choose variants to investigate, rather than diagnose disease.
The model links gene activity to signaling; evidence comes from cells and mouse embryos.
Open models combine both inputs in one network. Performance evidence currently comes from their developers.
The new mode loads relevant parts of a recording according to the question. Savings need testing on the actual workload.
Google expands its video creation tools. Higher resolution alone does not guarantee a faithful image.
A company experiment supports automating part of safety research, not a conclusion that AI safety has been solved.
A new internal report separates the volume of automated work from scientific progress.
A system of agents produced the first complete Lean formalization of the famous theorem in eleven days. This is not a new mathematical proof, but an exceptionally large machine-checkable encoding of an existing route.
OpenAI has begun a limited rollout of a new model for agentic work, coding and computer use. Its own evaluations show large gains, while the system card also reports lower reasoning monitorability and the company's highest cyber capability tier so far.
Google's new model incorporates continuous satellite and station data and refines the spatial grid to as little as five kilometres. Higher resolution and live independent evaluation still do not turn a forecast into certainty or an official warning.
Anthropic has released the generally available Fable 5.1 and the restricted Mythos 5.1, built on the same foundation but governed by different safeguards. Cheaper cache reads can reduce the cost of long-running agents, while base token prices are unchanged.
Google has released a fast general model and a security variant for vetted defenders. Pricing remains introductory through year-end, but higher performance on difficult tasks may require more reasoning steps and tokens.
GigaPath‑Flash reduces the cost of analysing whole histology slides, while GigaTIME‑Flash predicts spatial protein maps. They are open research models, not tools approved for diagnosis or treatment decisions.
Combining language-model representations with a Gaussian process matched standard Bayesian optimisation with over 40% fewer trials in benchmarks. It was not an independently operated laboratory.
An analysis of 25,306 post-mortem samples from 970 donors found different periods of rapid structural change across tissues. It is a research map, not a biological-age test.
Bayesian machine learning linked discrepancies in historical measurements to details of experimental procedures. Experts then tested the suspects with simulations and new experiments, reducing the spread in californium-252 fission data by up to sixfold.
A model trained on fundus images from 71,343 participants linked a retinal-age gap to disease and mortality. It is a population biomarker, however, not a personal diagnosis or proof that the retina causes ageing.
EvoMax combined sparse experimental data, a protein language model and structural estimates. The resulting Fanzor editor worked better in human cells and was also tested against a humanized gene in mice.
The open framework can switch among molecular strings, graphs and protein sequences during computer-aided design. It is a candidate-search tool, not evidence of an effective drug.
VITAL combines sequence information with binding-interface geometry. Across benchmark datasets, it classified interactions, mapped contact sites and estimated binding strength in one framework.
Eight case studies report faster maintenance and modernisation of research tools. They are not an independent benchmark, and scientific validation remains the hard part.
Research is trying to describe LLM overthinking structurally — locating repetition and breakdown rather than merely counting tokens.

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