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A newly published study by Sheba Medical Center, Israel’s largest and internationally ranked hospital, shows that AI analysis of medical records as patients are admitted to the ER can accurately identify those at high risk of pulmonary embolism (PE).

A pulmonary embolism is a sudden blockage in an artery in the lung caused by a blood clot, most commonly due to a dislodged clot in the leg. They are normally diagnosed during a CT scan.

Using machine learning, the researchers trained an algorithm to detect a pulmonary embolism before a patient was hospitalized, based on existing medical records.

An automated computational approach to the optical lens design of imaging systems promises to provide optimal solutions without human intervention, slashing the time and cost usually required. The result could be improved cameras for mobile phones with superior quality or new functionality.

These configurable bots could launch flat and then be assembled in space.

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According to a new study led by TU Darmstadt, AI models such as ChatGPT are apparently less capable of learning independently than previously assumed.

According to the study, there is no evidence that what are known as large language models (LLMs) are beginning to develop a general “intelligent” behavior that would enable them to proceed in a planned or intuitive manner or to think in a complex way.

The study, which has been published on the arXiv preprint server, will be presented in August at the annual conference of the Association for Computational Linguistics (ACL) in Bangkok, the largest international conference on automatic language processing.

Ever wondered how intelligent AI could become by 2034? As we dive into this thought-provoking topic, we’ll explore the potential…

In a recent study published in Science Advances, researchers from the University of California, Berkeley, used the nematode model Caenorhabditis elegans to determine whether the olfactory nervous system could non-autonomously control the mitochondrial unfolded protein response in response to cellular stress.

A critical part of maintaining a state of cellular homeostasis is coordinating responses to environmental stress across tissues. Substantial evidence now supports the fact that the central nervous system regulates stress across all tissues. Furthermore, cell non-autonomous induction of stress responses occurs in peripheral tissues when unfolded protein responses (UPR) in the mitochondria and the endoplasmic reticulum are activated in the neurons.

Stressed cells undergo misfolding or unfolding of proteins, and UPR transmits protein folding status information to the nucleus to enable cellular stress responses or induce apoptotic cell death. The non-autonomous control of cellular stress responses is believed to be essential for the organism to survive toxic environmental conditions.

The Turing Award winner believes the only way to guarantee safety is to use AI, not humans, to check other AI systems.

Quantum computers have the potential of outperforming conventional computers on some practically relevant information processing problems, possibly even in machine learning and optimization. Yet their large-scale deployment is not yet feasible, largely due to their sensitivity to noise, which causes them to make errors.