I commented recently on limitations in deep learning (DL), one of which is the inability to incorporate prior knowledge, like basic laws of mathematics or physics. Typically, understanding in DL must be inferred from the training set, which in a general sense cannot practically cover prior knowledge. Indeed one of the selling… Read More
Podcast EP334: The Unique Benefits of LightSolver’s Laser Processing Unit Technology with Dr. Chene Tradonsky
Daniel is joined by Dr. Chene Tradonsky, a physicist and the CTO and co-founder of LightSolver, where he leads the development of a proprietary physics-based computing system built on coupled laser dynamics to accelerate compute-heavy simulations and other computationally demanding workloads. Before moving into physics,… Read More