Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
Google Student Researcher Programme 2026: Google has invited applications for its 2026 Student Researcher Internship and Apprentice Programme and registrations are currently open. The programme offers ...
Google has opened applications for its Student Researcher Internship and Apprentice Programme 2026, inviting students to apply for research roles focused on solving real-world, large-scale problems.
This repository contains two examples: InversePinnConstantCoef.mlx and InversePinnVariableCoef.mlx. Both examples are solvers for an inverse problem for the Poisson equation $−\nabla \cdot (c\nabla ...
Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?
Abstract: Most power systems’ approaches are currently tending towards stochastic and probabilistic methods due to the high variability of renewable sources and the stochastic nature of loads.
Abstract: The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, ...
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
Ornith 1.0 by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.
Long-term motor recovery after musculoskeletal alteration relies on gradually developing novel compensatory movements to overcome the rigid, maladaptive timing of stable muscle synergies.
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