AI & Machine Learning

  • FPGAs for embedded AI: Reducing power consumption, programming complexity for mass markets

    FPGAs for embedded AI: Reducing power consumption, programming complexity for mass markets

    Developers are investigating AI in embedded applications for automotive, industrial, and consumer markets. Many of these have strict thresholds in terms of the power consumption and complexity.

    Read Article
  • COMPUTEX review

    This year, COMPUTEX gathered over 1,600 hardware and software suppliers from 30 countries to demonstrate their technology, solutions and products to global buyers.

    Read Article
  • Marketer’s guide to Sensors Expo 2018

    Marketer’s guide to Sensors Expo 2018

    Your guide to increasing exposure, driving leads, booth traffic and outshining your competitors at Sensors Expo.

    Read Article
  • Lattice Ultra-Low Power Solution Brings AI to the Edge of the IoT

    The flexibility of an FPGA opens lots of doors when it comes to machine learning and AI. Throw in small size and low-cost, and you've got a real winner.

    Read Article
  • Five Minutes with… Robert Gendron, Corporate VP, Vicor

    Five Minutes with… Robert Gendron, Corporate VP, Vicor

    This week’s Five Minutes with…discussion has to do with artificial intelligence (AI), and the guest is Robert Gendron, a Corporate Vice President, in charge of power components at Vicor. Power and...

    Read Article
  • Logic Supply collaborates with Amazon Web Services to offer AWS Greengrass with machine learning inference on its line of IoT edge PCs

    Logic Supply collaborates with Amazon Web Services to offer AWS Greengrass with machine learning inference on its line of IoT edge PCs

    Logic Supply hardware demonstrating AWS Greengrass with Machine Learning Inference made its debut at IoT World 2018.

    Read Article
  • Intel Offering Combines AI and Vision

    With Intel CPUs, FPGAs, and VPUs, deep/machine-learning gets a huge boost.

    Read Article
  • On-device natural language processing is ready for prime time

    Being able to process at the edge rather than the cloud gives today's consumer devices the advantage they need.

    Read Article
  • VIA Launches VIA Edge AI Developer Kit Powered by Qualcomm(r) Snapdragon(tm) 820E Embedded Platform

    VIA Launches VIA Edge AI Developer Kit Powered by Qualcomm(r) Snapdragon(tm) 820E Embedded Platform

    Speeds up time-to-market for smart camera, signage, kiosk, and robotics systems and devices optimized for video AI applications

    Read Article
  • Innovative applications drive demand for sensors

    It may come as a disappointing surprise that there are no specific artificial intelligence sensors or autonomous vehicle sensors.

    Read Article
  • Want to engineer the latest and greatest smart home? Start here.

    Want to engineer the latest and greatest smart home? Start here.

    The IQ of the average home is on the rise. Machine learning will help smart devices derive insights from it. That means there are more places than ever for a connected home project.

    Read Article
  • Renesas R-Car V3H drives automotive front cameras for level 3/4 autonomous vehicles

    Renesas R-Car V3H drives automotive front cameras for level 3/4 autonomous vehicles

    Based on the IMP-X5+ image recognition engine and optimized for use in stereo front cameras, the R-Car V3H delivers 5x the CV performance of its predecessor at only 0.3 W.

    Read Article
  • Filling the data scientist gap, part 3: Challenges and solutions for the road ahead

    As organizations begin to put data analytics tools in the hands of their domain experts, challenges can arise, including showing the value of data analytics to those who are skeptical.

    Read Article
  • Renesas Electronics Delivers R-Car V3H System-On-Chip for Automotive Front Cameras in Level 3 and Level 4 Autonomous Vehicles

    Renesas Electronics Delivers R-Car V3H System-On-Chip for Automotive Front Cameras in Level 3 and Level 4 Autonomous Vehicles

    Enables AI Processing Required for Automotive Front Cameras with CNN IP at Industry-Leading Low Power Levels

    Read Article
  • Filling the data scientist gap, part 2: Diving into data analytics technologies

    A new set of algorithms and infrastructure has emerged that allows businesses to use key data analytics techniques such as big data or machine learning to capitalize on opportunities.

    Read Article
  • IAR DevCon Series kicks off in San Jose

    IAR DevCon Series kicks off in San Jose

    Learn from the Experts in Embedded Development in a FREE Developers Conference. Application areas include Security, IoT, Industrial, Automotive, Machine Learning, and Embedded.

    Read Article
  • Shrinking Machine Learning Down to IoT Size

    Shrinking Machine Learning Down to IoT Size

    Despite the potential of machine learning in embedded applications, the technology is struggling to gain adoption due to its complexity.

    Download PDF
  • Lynx accelerates secure ADAS development with LynxSecure port

    ADAS vision and machine learning systems are critical in allowing autonomous vehicles to adapt to changing environments and adverse conditions.

    Read Article
  • AI, IoT, and the digital healthcare revolution

    AI, IoT, and the digital healthcare revolution

    Arvind Ananthan, Medical Devices Industry Manager, MathWorks, discusses how AI, IoT, and cloud computing are revolutionizing the way doctors interact with patients before, during, and after care.

    Read Article
  • NVIDIA DGX-2 increases deep learning performance 10x in six months

    The DGX-2 delivers two petaflops of computational power in a single server, supported by a 2x memory boost in NVIDIA Tesla V100 GPUs and the NVIDIA NVSwitch GPU interconnect fabric.

    Read Article
  • loading
    Loading More...