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Final Days to Register for the 7th Annual Digi-Tech Pharma & AI Conference: London, United Kingdom - Vimarsana News

Final Days to Register for the 7th Annual Digi-Tech Pharma & AI Conference: London, United Kingdom

Dublin, May 06, 2024 (GLOBE NEWSWIRE) -- The "Digi-Tech Pharma & AI 2024" conference has been added to ResearchAndMarkets.com's offering. The 7th Annual Digi-Tech Pharma & AI conference, a premier Pharmaceutical Technology Conference, brings with it even more interactive sessions, expert speakers, senior professionals and decision makers from leading pharma, bio-tech and healthcare industry. Meet the decision makers, benchmark and learn from real-life use cases to drive organizational change and

Source: yahoo.com
Silicon microresonators for artificial neural - Vimarsana News

Silicon microresonators for artificial neural

<p>Researchers have made significant progress in the development of artificial neural networks using tiny silicon devices called microresonators, paving the way for faster and more energy-efficient artificial intelligence systems. These networks mimic the computing capabilities of the human brain, breaking away from traditional digital computer architectures and leveraging the speed, low power dissipation and multi-wavelength capabilities of photonics.</p>

McLaren gets go-ahead for Manchester student scheme - Vimarsana News

McLaren gets go-ahead for Manchester student scheme

McLaren Property and Kadans Science Partner have got planning consent for a development on Upper Brook Street in Manchester.

New method for addressing the reliability challenges of neural networks in inverse imaging problems - Vimarsana News

New method for addressing the reliability challenges of neural networks in inverse imaging problems

Researchers develop cycle-consistency-based uncertainty quantification technique.

New method for addressing the reliability challenges of neural networks in inverse imaging problems - Vimarsana News

New method for addressing the reliability challenges of neural networks in inverse imaging problems

Enhance deep neural network reliability via cycle consistency uncertainty quantification.