CNET

Anthropic Says Its New AI Model Is So Good at Finding Security Risks, You Can't Use It

With its new Claude Mythos Preview model, the company is pulling together tech giants for a new cybersecurity consortium, ...
PCMag

Anthropic: Our New Model Is So Powerful, Only a Few Partners Can Try It Out

Claude Mythos Preview is highly skilled at finding software bugs, which could be bad news in the wrong hands, so Anthropic ...

Anthropic says its most powerful AI cyber model is too dangerous to release publicly — so it built Project Glasswing

Anthropic launched Project Glasswing, a $100 million AI cybersecurity initiative using its unreleased Claude Mythos Preview ...

As models converge, the enterprise edge in AI shifts to governed data and the platforms that control it

For most enterprises, that advantage in enterprise AI lives in unstructured data: the contracts, case files, product ...

Drones, DNA, and weather: A phase-oriented hybrid engine predicts sugar beet disease

A fungus that can wipe out up to 50% of a sugar beet crop may soon meet its match in a new generation of smart disease ...
AHA/ASA Journals

Designing Medically Tailored Meal Interventions: The Food as Medicine for Families (FAME-F) Factorial Randomized Clinical Trial

BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...
IEEE

Model-Free Predictive Control for PMSM Drives Using Ultra-Local With Poincaré Mapping Causality

Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...
IEEE

ANN-Assisted Model Predictive Control Method for IPMSM Drive Using Torque-Deviations Mapping

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
Automation World

Use of Predictive AI in the Oil & Gas Industry Offers Lessons for Manufacturers

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
Frontiers

Machine learning–guided feature selection and predictive model construction for attention-deficit/hyperactivity disorder

A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...
Wired

This AI Model Can Intuit How the Physical World Works

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...