Detecting ‘Aggressive Driving’ With Machine Learning And Edge Computing

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A recent patent application has proposed a system for identifying ‘aggressive driving behavior’ at junctions using machine learning algorithms deployed in civic edge computing devices.In contrast to recent innovations of AI research into in-vehicle ‘road rage’ analytics (primarily intended for the benefit of insurance companies), the system proposed is instead municipal in nature, and could be aimed at facilitating penalties for drivers that are not conforming to the ambient norms of ‘safe’ driver behavior. It is also specifically intended to provide bad drivers with related in-car audiovisual alerts.The patent was filed at the US Patent and Trademark Office on 29th April 2021 on behalf of the Board Of Regents of the University of Michigan, and the Denso corporation, a Japanese automotive components manufacturer owned by Toyota.The...

Cambridge Quantum Computing Pioneers Quantum Machine Learning Methods for Reasoning

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Scientists at Cambridge Quantum Computing (CQC) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general probabilistic reasoning models. These methods could improve a broad range of applications, where reasoning in complex systems and quantifying uncertainty are crucial. Examples include medical diagnosis, fault-detection in mission-critical machines, or financial forecasting for investment management. In this paper published on the pre-print repository arXiv, CQC researchers established that quantum computers can learn to deal with the uncertainty that is typical of real-world scenarios, and which humans can often handle in an intuitive way. The research team has been led by Dr. Marcello Benedetti with co-authors Brian Coyle, Dr. Michael Lubasch, and Dr. Matthias Rosenkranz, and is...

CrownBio and JSR Life Sciences Partner with Cambridge Quantum Computing to Leverage Quantum Machine Learning for Novel Cancer Treatment Biomarker Discovery

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SUNNYVALE, Calif. & CAMBRIDGE, England--(BUSINESS WIRE)--Crown Bioscience (CrownBio), JSR Life Sciences and Cambridge Quantum Computing (CQC) today announced a partnership agreement to explore the application of quantum technology to drive the identification of multi-gene biomarker discovery for oncology drug discovery. The partnership will combine CrownBio’s domain expertise and vast data sets generated from 15 years of preclinical and translational research and CQC’s advanced capabilities in quantum algorithms, quantum machine learning, and quantum computing. Utilizing quantum machine algorithms and CQC’s software development framework for execution on NISQ (Noisy Intermediate-Scale Quantum) computers, the initial approach will focus on deriving insight from the analysis of genetic data to identify cancer treatment biomarkers and...

Intel Labs Moving Mountains With Neuromorphic Computing And Photonics Technologies

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Director of Intel's Neuromorphic Computing Lab, Rich Uhlig. Screenshot from event keynote. Intel While the industry loves to combine “R&D” and we see this in every tech company’s P&L, research and development are very different. Research is high risk, market making investments and discoveries that are unattached to products. Development is applying that research and other’s IP to create an end product or services. Development is less risky. Very few companies do research, and Intel has had a heritage in research for decades. One of the most exciting aspects of working as a tech analyst is, quite frankly, being one of the first to learn of these new, research-driven, cutting-edge technologies coming down the pipeline in the not-so-distant future—from the expected to the truly mind-boggling. As such, I always look...