While it comes with 16 petabytes per second (PB/s) of total memory bandwidth, 3.5 PB/s of inter-core communication bandwidth, and 5 terabytes per second (TB/s) of inter-chip communication bandwidth, Hala Point isn’t just fast; it's also efficient and scalable. Learn more about the world's largest neuromorphic system and our work with Sandia National Laboratories here. https://lnkd.in/gAiyCrmy #Developer #NeuromorphicComputing #Research
About us
See what it means to be on the vanguard of research in computer science, academic and industry collaboration, and a leader in visionary thinking about technology, the sciences, society, and culture. Intel Labs, the research arm of Intel Corporation, is inventing tomorrow's technology to make our lives easier, more enjoyable and more productive.
- Website
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http://intel.com/labs
External link for Intel Labs
- Industry
- Research Services
- Company size
- 10,001+ employees
- Headquarters
- Hillsboro, OR
- Type
- Public Company
- Founded
- 1968
- Specialties
- Research, Microprocessor, Computer Architecture, Circuits, Comms, Systems, Platforms, Energy, Nanotechnology, Ethnography, Security, Quantum Computing, Neuromorphic Computing, Artificial Intelligence, and Computer Science Research
Locations
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Primary
2111 NE 25th Ave
Hillsboro, OR 97124, US
Employees at Intel Labs
Updates
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Congratulations to our very own Ilke Demir for being part of a select group of innovative early-career engineers invited to participate in the 2024 Grainger Foundation Frontiers of Engineering Symposium! Hosted by the National Academy of Engineering, the annual event brings together exceptional engineers across a variety of disciplines to share knowledge, facilitate collaboration, and build professional networks among the next generation of engineering leaders. Read more: https://intel.ly/3y6MrZQ #Engineering #GraingerFoundation #FrontiersOfEngineering
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A novel online evaluation protocol for test time adaptation (TTA) methods? A novel task-centric angle for the pre-trained weights of large language models (LLMs)? A general form of dynamic convolution that redefines the basic concepts of kernels? These are but a few of the innovative research topics being presented by Intel Labs researchers at this year's ICML. Learn more about our event activities in this blog. https://intel.ly/3YfWbvA #ICML #ML #AI #Research
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Transforming a non-differentiable rasterizer into a differentiable one without critical performance or qualitative penalties might be easier than you think. Intel Labs researchers Thomas Deliot, Eric Heitz, and Laurent Belcour explain this in their award-winning research paper. https://intel.ly/4d7EDpr #3D #Developer #GameDev
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ICYMI, two new Intel Labs research papers on neuromorphic computing were published in the June issue of Nature Magazine Machine Intelligence! Drawing insights from biological signal processing, the first paper is key in enabling robots to reliably navigate their environment. The novel approach uses neuromorphic computing hardware for fast and power-efficient visual odometry, and the related task of simultaneous localization and mapping. The companion paper explores how a neuromorphic resonator network can be applied to visual scene understanding. Learn more about our collaborative research efforts to improve visual perception in robotics here: https://intel.ly/4bEeaPa #ArtificialIntelligence #NeuromorphicComputing #VisualOdometry
Improving Visual Perception in Robotics - Neuromorphic Computing
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Intel Labs reposted this
The NPU is a low power, energy efficient processor engine that elevates the game of AI model deployment on your local machine. Benjamin Consolvo, AI Engineering Manager at #Intel, discusses the new Intel® NPU Acceleration Library and how its enabling large multimodal models (LMMs) in this Hugging Face blog. https://intel.ly/3S42OwR #GenAI
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Is neuromorphic computing the solution to addressing rapidly increasing energy consumption driven by the AI revolution? Hear from industry experts like our very own Mike Davies in this article from the BBC. https://intel.ly/3Lej6iO #Research #Science #NeuromorphicComputing
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Enable effective understanding of first-person videos captured by “always ON cameras” via a novel representation, namely ego-centric action scene graphs (EASGs). EASGs extend standard verb-noun action labels and provide a temporally evolving graph-based description of the actions performed by the camera wearer, including interacting objects, their relationships, and how actions unfold in time. Through a novel annotation procedure, we extend the Ego4D dataset, adding manually labeled Egocentric Action Scene Graphs, which offer a rich set of annotations for long-form egocentric video understanding. We show how EASG representations improve performance over state-of-the-art methods across different long-form video understanding tasks, such as action anticipation and summarization. Learn more in part 3 of this 3-part series on long-form video representation learning from Subarna Tripathi. https://intel.ly/4buWLIP #DeepLearning #ComputerVision #RepresentationLearning
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Say hello to the first fully integrated optical compute interconnect (OCI) chiplet. When co-packaged with CPUs, GPUs, and other SoCs, Intel's OCI chiplet is built for scale to address AI infrastructure bandwidth needs now and in the future. Designed to support 64 channels of 32 Gbps data transmission in each direction on up to 100 meters of fiber optics, this first 4 Tbps OCI chiplet enables future scalability of CPU/GPU cluster connectivity and novel compute architectures, including coherent memory expansion and resource disaggregation. Learn more about Intel's OCI chiplet and how it's expected to revolutionize high-speed data processing for AI infrastructure. https://intel.ly/3RGKTfy #ArtificialIntelligence #SiliconPhotonics #DataCenter
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Code-named Pando Tree, this groundbreaking quantum research control chip from Intel addresses quantum computing interconnect bottlenecks at the millikelvin stage. This millikelvin chip establishes Intel as the first semiconductor manufacturer to demonstrate the distribution of cryogenic silicon spin qubit control electronics inside the dilution refrigerator at different temperature stages. The Pando Tree control chip is designed to be fully compatible with the standard Intel Foundry Flip Chip Ball Grid Array 2D (FCBGA 2D) and other advanced packaging technologies for future scaling. Read the blog to learn more about Pando Tree. https://intel.ly/3KVVlw1 #Research #QuantumComputing #Foundry
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