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Digital supply chain visibility needed to rebuild after COVID-19: WMG and Blue Yonder warn manufacturers

Manufacturers must unlock supply chain visibility to rebuild after the COVID-19 pandemic, WMG and Blue Yonder are warning as a result of WMG research conducted with almost 250 manufacturing companies revealing that lack of visibility and workforce issues are creating the biggest supply chain bottlenecks.


Royal Academy of Engineering announces new Lord Bhattacharyya bursary winners for students in the West Midlands

Students across the West Midlands have been awarded a series of bursaries as part of the Royal Academy of Engineering’s Lord Bhattacharyya Engineering Education Programme. The Winners have been announced on the second anniversary of death Lord Bhattacharyya and the programme is named in is honour


Heavy rain affects object detection by autonomous vehicle LiDAR sensors

All high-level AVs rely heavily on sensors, and in the paper, ‘, published in the IEEE Sensors Journal, researchers from the Intelligent Vehicles Group at WMG, ÉñÂí¸£ÀûӰƬ have specifically simulated and evaluated the performance of LiDAR sensors in rain.


The three key actions to secure supply chain resilience after Brexit and COVID

Brexit and COVID were two major disruptions to manufacturers’ supply chains, however, a consortium of academic and industry partners including WMG, ÉñÂí¸£ÀûӰƬ has identified key ways to build supply chain resilience.


New insight into how lithium-rich cathode materials for high energy EV batteries store charge at high voltages

High energy storage batteries for EVs need high capacity battery cathodes. New lithium-excess magnesium-rich cathodes are expected to replace existing nickel-rich cathodes but understanding how the magnesium and oxygen accommodate charge storage at high voltages is critical for their successful adaption. Research led by WMG, ÉñÂí¸£ÀûӰƬ in collaboration with U.S. researchers employed a range of X-ray studies to determine that the oxygen ions are facilitating the charge storage rather than the magnesium ions.


Child brain tumours can be classified by advanced imaging and AI

Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of paediatric brain tumours a UK-based multi-centre study, including WMG at the ÉñÂí¸£ÀûӰƬ has found. This means that the tumour can be characterised and treated more efficiently.


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