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Neural Networking

4U GPU system delivers 6x AI training performance, 7x inference workload capacity

October 7, 2020 By Redding Traiger Leave a Comment

Super Micro Computer, Inc., announced the doubling of GPU capabilities with a new 4U server supporting eight NVIDIA HGX A100 GPUs. Supermicro offers the industry’s broadest portfolio of GPU systems spanning 1U, 2U, 4U, and 10U GPU servers and SuperBlade servers over a wide range of customizable configurations. Supermicro now offers the industry’s widest and […]

Filed Under: Applications, Artificial intelligence, Connectivity, Embedded, Hardware, network hardware, Neural Networking, Training Tagged With: supermicrocomputerinc

How “green” is your Artificial Intelligence?

September 17, 2020 By Jeff Shepard Leave a Comment

green artificial intelligence

Artificial intelligence (AI) systems face a set of conflicting goals: being accurate (consuming large amounts of computational power and electrical power) and being accessible (being lower in cost, less computationally intensive, and less power-hungry). Unfortunately, many of today’s AI implementations are environmentally unsustainable. Improvements in AI energy efficiency will be driven by several factors, including […]

Filed Under: Applications, Artificial intelligence, FAQ, Featured, Machine learning, Neural Networking Tagged With: FAQ

Benchmarking AI from the edge to the cloud

September 16, 2020 By Jeff Shepard Leave a Comment

artificial intelligence benchmarks

Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are fast-changing and complex fields. Until relatively recently, there were no performance benchmarks for AI, ML, or DL systems. That is changing. Today, several industry organizations have developed AI, and ML benchmarks, with more complex benchmarks for DL coming soon. Those efforts stretch from the […]

Filed Under: Applications, Artificial intelligence, IoT, Machine learning, Neural Networking Tagged With: eembc, FAQ

Software-based inference accelerator speeds AI deployment on edge devices

May 12, 2020 By Lee Teschler Leave a Comment

deepcube

A software-based inference accelerator is said to drastically improve deep learning performance on any existing hardware. Today, deep learning deployments are very limited and are primarily optimized for the cloud; and, even in these cases, they incur extensive processing costs, significant memory requirements, and expensive power costs, due to intensive computing demands. These challenges also […]

Filed Under: Applications, Artificial intelligence, Neural Networking Tagged With: deepcube

New processors provide neural processing for human-like cognition at the edge

January 6, 2020 By Lee Teschler Leave a Comment

nxp

The i.MX 8M Plus applications processors in the EdgeVerse portfolio integrate a Neural Processing Unit (NPU) that unleashes the benefits of edge-based Machine Learning (ML) and Artificial Intelligence (AI) in IoT and industrial devices. The i.MX 8M Plus features an NPU capable of delivering 2.3 TOPS, a powerful quad-core Arm Cortex-A53 processor running up to […]

Filed Under: Applications, IoT, Machine learning, Microprocessor, Neural Networking Tagged With: nxpsemiconductors

Software development kit focuses on Simultaneous Localization and Mapping apps

May 23, 2019 By Aimee Kalnoskas Leave a Comment

MotionEngine Air software

CEVA, Inc. announced the availability of its CEVA-SLAM software development kit, aimed at streamlining the development of Simultaneous Localization and Mapping (SLAM) enabled products, including mobile devices, AR/VR headsets, robots, autonomous vehicles and other camera-based devices. Available for the CEVA-XM family of intelligent vision DSPs and the NeuPro family of AI processors, CEVA-SLAM incorporates the […]

Filed Under: Applications, Artificial intelligence, Development Kits, Embedded, Hardware, Neural Networking Tagged With: cevainc

Ultra low-power Neural Processing Unit dynamically adjusts functions to suit applications

May 20, 2019 By Aimee Kalnoskas Leave a Comment

KL520

Named after its release date of May 20th, Kneron’s debut AI Chip “KL520” has the best-in-class power efficiency only consuming a few hundred mega-watts, bringing AI computation power to edge devices for various applications. Kneron is also announcing partnerships with industry leaders to bring their chip into our everyday lives. Partnerships include fabless IC maker […]

Filed Under: Applications, Artificial intelligence, Microprocessor, Neural Networking Tagged With: kneron

Edge inference co-processor delivers high throughput for edge apps

April 11, 2019 By Aimee Kalnoskas Leave a Comment

Edge inference co-processor

Flex Logix Technologies, Inc. today announced that it has leveraged its core patent-protected interconnect technology from its embedded FPGA (eFPGA) line of business combined with inference-optimized nnMAX clusters to develop the InferXÔ X1 edge inference co-processor. Unveiled today in a presentation at the Linley Processor Conference in Santa Clara, the Flex Logix InferX X1 chip […]

Filed Under: Applications, Connectivity, Data centers, FPGA, microcontroller, Neural Networking Tagged With: flexlogixtechnologiesinc

DIY Artificial Intelligence

February 26, 2019 By Scott Thornton Leave a Comment

Artificial Intelligence

Machines are now faster and more accurate than humans at identifying information in images. Machines don’t get bored looking for flaws in widgets for hours at a time without a break. There’s been a lot of talk in the news about how Artificial Intelligence (AI) will replace jobs. The industrial revolution displaced thousands of people […]

Filed Under: Applications, Artificial intelligence, FAQ, Featured, Neural Networking Tagged With: FAQ, intel

Neural network-based speech recognition technology allows enables cloud-based voice assistant interaction

January 7, 2019 By Aimee Kalnoskas Leave a Comment

WhisPro speech recognition

CEVA, Inc. introduced WhisPro, a neural network-based speech recognition technology targeting the rapidly growing use of voice as a primary human interface for intelligent cloud-based services and edge devices. WhisPro is an always-listening multi-trigger phrase technology allowing users of new smartphones, smart speakers, Bluetooth earbuds and other voice-enabled devices to interact with cloud-based voice assistant […]

Filed Under: Applications, Consumer Electronics, microcontroller, Neural Networking

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