- 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
- Palo Alto Networks (Santa Clara, CA)
- …of advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural networks . + Parallel Training Techniques: Utilize data and model ... **Our Mission** At Palo Alto Networks (R) everything starts and ends with our mission:...- just to name a few! At Palo Alto Networks , we believe in the power of collaboration and… more
- Skyworks (Hillsboro, OR)
- …will share responsibility for some of the following tasks: + Development of neural networks + Analyze neural network efficiency and performance + Port to ... and test neural networks on microprocessors and other constrained devices + Develop neural network based real-time audio algorithms that are memory and… more
- Stanford University (Stanford, CA)
- …and implement scalable pipelines for mechanistic interpretability analyses of large neural networks * Develop and automate feature visualization techniques ... in industry. * Access to unique datasets spanning artificial and biological neural networks * State-of-the-art computing infrastructure * Competitive salary and… more
- Highmark Health (Honolulu, HI)
- …experience designing, implementing, and optimizing various Graph Neural Network (GNN) architectures, graph convolutional networks , and other graph-specific ... building and enriching large-scale knowledge graphs, and developing next-generation Graph Neural Networks (GNNs), graph convolutional networks (GCNs),… 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 ... maintain deep learning research infrastructure to run large scale neural network experiments + Implement deep learning...training algorithms using JAX and Flax + Train deep neural networks to achieve record-breaking results on… 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 ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You… 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 ... systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only… 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 ... systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only… 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 ... automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today...+ Contribute to the development of cutting edge deep neural networks , computer vision and DSP algorithms… more