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NEO Energy has published its Low Carbon Transition Plan (LCTP) setting out an ambitious strategy to reduce its carbon emissions.

Fly-through of Malet St in London based on LiDAR data Researchers have developed the first LiDAR-based augmented reality head-up display for use in vehicles. Tests on a prototype version of the technology suggest that it could improve road safety by ‘seeing through’ objects to alert of potential hazards without distracting the driver. The technology, developed by researchers from the University of Cambridge, the University of Oxford and University College London (UCL), is based on LiDAR (light detection and ranging), and uses LiDAR data to create ultra-high-definition holographic represen...

Zooming in on a wafer of D-Wave Quantum Computers Bayers Factors In the paper entitled " Learning models of quantum systems from experiments," published in Nature Physics, quantum mechanics from QET Labs of Bristol are describing an algorithm that overcomes such challenges by functioning as an independent agent, through the use of machine learning to oppose or contradict engineer Hamiltonian models. Essentially, the research team developed a new protocol for the formulation and validation of approximate models for quantum systems of interest. As indicated in their study, the researchers' algo...

 E-Mail Computer gaming technology is being used to develop and pilot two low cost, next-generation screening tools for 'lazy eye' in children. NHS Forth Valley Consultant Ophthalmologist, Dr Iain Livingstone and Dr Mario Giardini, senior lecturer in the University of Strathclyde's Department of Biomedical Engineering, have developed two prototype devices to test for 'lazy eye' in children who are too young to speak or follow instructions for a conventional eye test. The first uses a computer screen webcam and bespoke analysis software. Test patterns are presented on the computer monitor whi...

New machine learning method accurately predicts battery state of health Researchers from the Smart Systems Group at Heriot-Watt University in Edinburgh, UK, working together with researchers from the CALCE group at the University of Maryland in the US, have developed a new method to estimate battery health irrespective of operating conditions and battery design or chemistry, by feeding artificial intelligence (AI) algorithms with the raw battery voltage and current operational data. A paper describing the method is published in the journal Nature Machine Intelligence. In the reported study, ...