Intel Archives - Liwaiwai

AI Coming To The PC At Scale

Intel’s upcoming Meteor Lake client PC processors are the first PC platform from Intel featuring a built-in neural VPU, a dedicated AI engine integrated directly on the SoC to power efficiently run AI models. (Credit: Intel Corporation) Microsoft and Intel are working together to drive the development of artificial intelligence (AI) on personal computing (PC). And at Microsoft’s Build 2023 conference, Intel and Microsoft are previewing the AI-enabled capabilities of Intel’s upcoming Meteor Lake client PC processors. Utilizing Meteor Lake processors’ unique disaggregated architecture, Intel and Microsoft are enabling new AI-powered features for PC users – including new multimedia features…

Saving The Desert With AI And Drones

A team of wildlife conservationists — with the help of Intel — are scouring the desert floor in Scottsdale, Arizona, to eliminate an environmental threat called buffelgrass. In a 30,000-acre wilderness desert preserve in Scottsdale, Arizona, drones occasionally fly overhead to search for an invasive plant species that causes wildfires and chokes and kills nearby native plants. The environmental threat is buffelgrass. Employees and volunteers in the McDowell Sonoran Conservancy — with the help of Intel — are using drones and AI to scour the desert floor to find and eliminate the non-native grass. What would take conservancy volunteers years to…

Intel Contributes AI Acceleration to PyTorch 2.0

New features for AI developers in research and production environments optimize performance. In the release of Python 2.0, contributions from Intel using Intel® Extension for PyTorch , oneAPI Deep Neural Network Library (oneDNN) and additional support for Intel® CPUs enable developers to optimize inference and training performance for artificial intelligence (AI). As part of the PyTorch 2.0 compilation stack, the TorchInductor CPU backend optimization by Intel Extension for PyTorch and PyTorch ATen CPU achieved up to 1.7 times faster FP32 inference performance when benchmarked with TorchBench, HuggingFace and timm.1 This update brings notable performance improvements to graph compilation over the PyTorch eager mode. Other optimizations include: More: Read…

Artificial Intelligence

Unlocking The Potential Of Generative AI

Intel’s goal is to support all artificial intelligence models, including generative AI, with responsible perspectives and principles. Generative artificial intelligence (AI) describes the algorithms used to create new data that can resemble human-generated content, including audio, code, images, text, simulations and videos. This technology is trained with existing content and data, creating the potential for applications like natural language processing, computer vision, metaverse and speech synthesis. Generative AI is not new. It’s the tech that created voice assistants, infinitely evolving games, and chatbots. Recently, several powerful AI tools, such as ChatGPT and DALL·E 2, have been used as generative AI,…

Artificial Intelligence

Intel, Habana Labs And Hugging Face Advance Deep Learning Software

Over the past year, Intel, Habana Labs and Hugging Face have continued to improve efficiencies and lower barriers for adoption of artificial intelligence (AI) through open source projects, integrated developer experiences and scientific research. This work resulted in key advancements and efficiencies for building and training high-quality transformer models. Transformer models deliver advanced performance on a wide range of machine and deep learning tasks like natural language processing (NLP), computer vision (CV), speech and others. Training these deep learning models at scale requires a large amount of computing power and can make the process time-consuming, complex and costly. The focus…

Artificial Intelligence

Intel Introduces Real-Time Deepfake Detector

What’s New: As part of Intel’s Responsible AI work, the company has developed FakeCatcher, a technology that can detect fake videos with a 96% accuracy rate. Intel’s deepfake detection platform is the world’s first real-time deepfake detector that returns results in milliseconds. “Deepfake videos are everywhere now. You have probably already seen them; videos of celebrities doing or saying things they never actually did.” –Ilke Demir, senior staff research scientist in Intel Labs How it Works: Intel’s real-time deepfake detection uses Intel hardware and software and runs on a server and interfaces through a web-based platform. On the software side, an…

Intel Delivers Leading AI Performance Results On MLPerf v2.1 Industry Benchmark For DL Training

What’s New: Today, MLCommons published results of its industry AI performance benchmark in which both the 4th Generation Intel® Xeon® Scalable processor (code-named Sapphire Rapids) and Habana® Gaudi®2 dedicated deep learning accelerator logged impressive training results. “I’m proud of our team’s continued progress since we last submitted leadership results on MLPerf in June. Intel’s 4th gen Xeon Scalable processor and Gaudi 2 AI accelerator support a wide array of AI functions and deliver leadership performance for customers who require deep learning training and large-scale workloads.” –Sandra Rivera, Intel executive vice president and general manager of the Datacenter and AI Group…

Cross-Industry Hardware Specification To Accelerate AI Software Development

Arm, Intel and Nvidia have jointly authored a paper describing an 8-bit floating point (FP8) specification and its two variants E5M2 and E4M3 to provide a common interchangeable format that works for both artificial intelligence (AI) training and inference. This cross-industry specification alignment will allow AI models to operate and perform consistently across hardware platforms, accelerating AI software development. Computational requirements for AI have been growing at an exponential rate. New innovation is required across hardware and software to deliver computational throughput needed to advance AI. One of the promising areas of research to address this growing compute gap is to reduce…

Robotics

Intel Labs Improves Interactive, Continual Learning For Robots With Neuromorphic Computing

Intel Labs, in collaboration with the Italian Institute of Technology and the Technical University of Munich, has introduced a new approach to neural network-based object learning. It specifically targets future applications like robotic assistants that interact with unconstrained environments, including in logistics, healthcare or elderly care. This research is a crucial step in improving the capabilities of future assistive or manufacturing robots. It uses neuromorphic computing through new interactive online object learning methods to enable robots to learn new objects after deployment. Using these new models, Intel and its collaborators successfully demonstrated continual interactive learning on Intel’s neuromorphic research chip,…

Technology

Intel 5G, Edge Tech Enables Driverless Tractors

What’s New: At the Intel Vision event, Intel demonstrated the possibilities that open when the company pairs a high-bandwidth, low-latency private 5G wireless network with edge computing devices. Intel collaborated with Federated Wireless and Blue White Robotics to deliver technology that enables self-driving tractors at a California vineyard to automate repetitive tasks and free workers to take on higher-value responsibilities. “As we look to the future for autonomous agriculture, we’re extremely optimistic for what 5G edge solutions can enable for customers, helping them create new business and revenue models.” —Caroline Chan, Intel vice president and general manager of the Network Business Incubator Division How It Works: A farmer…

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