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AI, Machine learning

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Overview
Impacts
 · 20h · on MSN
OpenAI models autonomously hacked into machine learning company Hugging Face: 'Unprecedented'
OpenAI said its artificial intelligence model autonomously hacked into another company’s cyber infrastructure to find answers to a test problem it was given during experimentation. Last week, Hugging Face,

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 · 14h · on MSN
Machine learning professor breaks down OpenAI model's hack of another AI company
 · 18h
OpenAI blamed a hacking event on its AI models going rogue. Here are some things to know
 · 1d
Rogue OpenAI bot escapes lab and hacks rival
A powerful version of ChatGPT went rogue and hacked another technology company during internal testing, OpenAI has admitted.

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 · 1d
OpenAI says its AI technology acted on its own in an unprecedented hack of another company
 · 1d
OpenAI Says Its A.I. Models Went Rogue and Attacked a Digital Library
 · 51m
Nestle spins out Buxton and Perrier water arm into £4.2bn joint venture
Trade union Unite cautioned Nestle and Platinum against an “attack on jobs” at its UK-based Buxton water business following the joint venture move.

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Mumbai Mirror · 15h
OpenAI’s latest agent escaped security, hacked a tech company
 · 1d
AI agent went rogue and hacked startup by itself, OpenAI reveals
Tech Xplore on MSN
7d

With machine learning, researchers embrace the atomic-scale complexity of batteries

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National Laboratory (LLNL) scientists are tackling that challenge in many ways, but one approach is making a significant impact: physics-informed machine learning.
Quanta Magazine
2y

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use other approaches, machine learning drives most of the field ...
News-Medical.Net
7d

New machine learning model improves cholesterol calculation accessibility

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by laboratories in the U.S. and other countries to guide efforts to lower cardiovascular disease risk.
European Medical Journal
22h

Machine Learning Predicts Survival in Breast Cancer Bone Metastasis

A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients with breast cancer bone metastasis.
Frontiers
2d

Physics-Grounded Machine Learning Force Fields for Biomolecular Modelling: Variational, Renormalization and Effective Field Theory Approaches

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical
6d

Building Safe Escalation Paths For High-Risk Healthcare Decisions

Sometimes, the best response for a predictive ML system is to pause, acknowledge that it does not have enough information and escalate the case to a clinician.
7don MSN

New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by laboratories in the U.S. and other countries to guide efforts to lower cardiovascular disease risk.
Nanowerk
3d

Machine learning maps the atomic complexity inside batteries

Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.
13d

SWAU introduces new certificate in machine learning

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of
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