Neuro-symbolic Artificial Intelligence (NSAI) denotes a research paradigm and technological framework that synthesizes the capabilities of contemporary Machine Learning, most notably Deep Learning, with the representational and inferential strengths of symbolic AI. By integrating data-driven statistical learning with explicit knowledge structures and logical reasoning, NSAI seeks to overcome the limitations inherent in either approach when used in isolation. Symbolic: Logic, Ontologies. Neural Networks: Structure, Weights.
The alarming findings were published in the journal Cell Reports Medicine, showing that four leading AI-enhanced pathology diagnostic systems differ in accuracy depending on patients ' age, gender, and race - demographic data, disturbingly, that the AI is extracting directly from pathology slides, a feat that's impossible for human doctors. To conduct the study, researchers at Harvard University combed through nearly 29,000 cancer pathology images from some 14,400 cancer patients. Their analysis found that the deep learning models exhibited alarming biases 29.3 percent of the time - on nearly a third of all the diagnostic tasks they were assigned, in other words.
Gaddam, L. & Kadali, S. L. H. Comparison of Machine Learning Algorithms on Predicting Churn Within Music Streaming Service (2022). Karwa, S., Shetty, N. & Nakkella, B. Churn Prediction and customer retention. In Predictive Analytics and Generative AI for Data-Driven Marketing Strategies, 98113 (Chapman and Hall/CRC). Joy, U. G., Hoque, K. E., Uddin, M. N., Chowdhury, L. & Park, S. B. A big data-driven hybrid model for enhancing streaming service customer retention through churn prediction integrated with explainable AI. IEEE Access. (2024).
Chronic stress that persists over an extended period of time can lead to a higher risk of developing physical and mental health issues. Having a method to quantify stress levels can be a useful diagnostic tool for clinicians. Researchers at Johns Hopkins University School of Medicine have developed a new, noninvasive, artificial intelligence (AI) deep learning digital biomarker for chronic stress, which was unveiled at the recent annual meeting of the Radiological Society of North America (RSNA).
British startup Wayve has begun testing self-driving cars with Nissan in Japan ahead of a 2027 launch to consumers, as the company said it was in talks for a $500m investment from the chip-maker Nvidia. Wayve, based in London, said it had installed its self-driving technology on Nissan's electric Ariya vehicles and tested them on Tokyo's streets, after first agreeing a deal with the Japanese carmaker in April.
Traditional keyword matching in information retrieval fails to understand user intent, which leads to irrelevant results and limits the diversity of responses, requiring query alterations to be effective.
At the TechCrunch Sessions: AI event, experts emphasized that while the rapid evolution of AI models poses challenges for startups, it simultaneously opens unprecedented opportunities for founders.
Recent advancements suggest that employing small Graph Neural Networks to craft preconditioners could significantly enhance performance while preserving necessary sparsity, thereby optimizing computational efficacy.
