A new interim analysis from Ovation Fertility and Alife Health is exploring the potential of artificial intelligence (AI) to improve embryo selection during in vitro fertilization (IVF) procedures.
This article presents a novel framework using differential geometry to allow neural networks to adapt to new tasks without losing prior knowledge. The Functionally Invariant Paths (FIP) approach enhances the robustness and efficiency of machine learning systems across various architectures.
By Muhammad Osama
23 Oct 2024
In a new EU project, researchers and industry partners are collaborating to develop reliable and efficient AI-powered machines that minimize risks to both humans and the environment.
Researchers from the University of Washington Medicine have developed the first wearable camera system that uses artificial intelligence (AI) to detect potential medication delivery errors. Their findings were published in npj Digital Medicine on October 22, 2024.
New research from Duke University, set to be presented at the Conference on Robot Learning (CoRL 2024) in Munich, Germany, from November 6-9, 2024, introduces a system called SonicSense. This system enables robots to interact with their environment in ways that were previously only accessible to humans.
Anitoa Systems, LLC., a Silicon Valley biotechnology company and market leader in rapid, portable molecular testing, today announced the launch of a computer vision guided collaborative robot (Cobot) system for automating qPCR sample preparation.
HeartFlow, Inc., the global leader in non-invasive artificial intelligence (AI) heart care solutions, today announced that the American Medical Association (AMA) has issued a new Category I Current Procedural Terminology (CPT®) code for AI-enabled plaque quantification technology, including HeartFlow Plaque Analysis effective January 2026.
This review covers advancements in cancer detection using deep learning, focusing on various imaging techniques. The research emphasizes how convolutional neural networks and transfer learning improve accuracy and efficiency in diagnosing different cancer types.
By Muhammad Osama
22 Oct 2024
In a recent study published in the journal New England Journal of Medicine, researchers from the University of California San Diego School of Medicine used advanced artificial intelligence to make hospital quality reporting simpler, quicker, and more effective while maintaining high accuracy, which could improve the delivery of healthcare.
Researchers have presented an exciting study exploring the latest advancements in deep reinforcement learning (DRL) for coordinating highway lane changes, ramp merges, and vehicle platoons.
King Faisal Specialist Hospital & Research Centre (KFSHRC) continues to contribute to advancing healthcare through pioneering advancements in AI-driven diagnostics and minimally invasive surgeries, advancing precision and outcomes while contributing to global innovation.
A study utilized OpenAI’s Whisper deep learning model to assess speech intelligibility in cochlear implant (CI) simulations. The model offered efficient, human-like responses, suggesting improvements in CI technology for better auditory processing, particularly in noisy environments
By Muhammad Osama
21 Oct 2024
According to a study presented at the 128th annual meeting of the American Academy of Ophthalmology (AAO) 2024, daily self-imaging can improve care while reducing financial strain on patients and the healthcare system.
Nokia today announced the integration of AI-driven operations (AIOps) into its Altiplano Access Controller, an automation platform for broadband networks.
As part of the broader WOO Ecosystem, which includes the WOOFi protocol, a leading decentralized exchange, and WOO X, a global centralized exchange, the WOO Innovation Hub is excited to announce a new strategic partnership with Almanak, an agent-centric platform that allows users to develop, optimize, and deploy financial strategies using AI agents.