From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
The Princeton Plasma Physics Laboratory (PPPL) has launched a computing platform titled Simulation, Technology, ...
NASA's Space Shuttle Program, which ran from 1981 to 2011, was a complex and ambitious project that pushed the boundaries of ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.
As artificial intelligence reshapes the way construction, infrastructure and energy projects are conceived, delivered and managed, its transformative potential is becoming impossible to ignore.
Choosing AI in 2026 is no longer about picking the most powerful model; it is about matching capabilities to tasks, risks, ...
The CompSTLar project is using laser-induced graphene (LIG) to create smart skins, combining data with simulations to enable virtual stress tests for in situ monitoring and prediction.
AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...