- Rockefeller University (New York, NY)
- …imaging to record neural activity, and then use computational analysis and neural network modeling techniques to uncover patterns in these large datasets. ... the information provided by the eyes. The Laboratory of Neural Systems is interested in the neural processes that form object representations as well as those… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- Google (Mountain View, CA)
- …well as the overall training recipes, are crucial components of nearly every deep neural network pipeline. The team you would join studies optimization for deep ... and maintain deep learning research infrastructure to run large scale neural network experiments + Implement deep learning models and training algorithms using… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- Highmark Health (Honolulu, HI)
- …Learning (GML):** Proven experience designing, implementing, and optimizing various Graph Neural Network (GNN) architectures, graph convolutional networks, and ... medical records not just as disparate facts, but as a vast, dynamic network of patient journeys, disease progressions, and treatment efficacy? Highmark Health is… more
- NVIDIA (Santa Clara, CA)
- …Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training. Ways to stand out from the crowd: + ... on physics simulation; + Hands-on experience with deploying and debugging neural network models on robotic hardware; + Expertise at reinforcement learning and… more