As automotive electronics becomes more complex, the quest is on for economical ways to cover the widest possible range of requirements. Eric Pinton | Renesas Electronics In recent years, few topics have stoked the automotive industry’s collective enthusiasm like autonomous vehicles. Pushed by widely publicized breakthroughs in connected vehicle development, deep learning software, and data-driven […]
Open standards for driverless cars
Why unsafe autonomous vehicle systems are passing undetected during development. Dr. Luca Castignani, MSC Software In February, McAfee exposed the alarming gap between the road test and real-world performance of autonomous vehicle sensors. In a demonstration, McAfee was able to fool a Tesla car into accelerating to 85 mph in a 35 mph zone using […]
MCU-based Implementation of neural network compiler supports machine learning at the edge
NXP Semiconductors N.V. released its eIQ Machine Learning (ML) software support for Glow neural network (NN) compiler, delivering the industry’s first NN compiler implementation for higher performance with low memory footprint on NXP’s i.MX RT crossover MCUs. As developed by Facebook, Glow can integrate target-specific optimizations, and NXP leveraged this ability using NN operator libraries […]
Ultra-low power AI sensor board speeds machine learning tasks
Eta Compute Inc. announced the debut of the world’s first integrated, ultra low power AI Sensor Board, the ECM3532 AI Sensor Board. Designed specifically for machine learning at the edge, the board reduces the initial phase of smart sensor development using its TENSAI SoC, including feasibility, proof of concept, and board design, from several months […]
Hyperparameter optimization framework for machine learning is open sourced
Preferred Networks, Inc. has released Optuna v1.0, the first major version of the open-source hyperparameter optimization framework for machine learning. Projects using the existing beta version can be updated to Optuna v1.0 with minimal changes to the code. In machine learning and deep learning, it is critical that complex hyperparameters (*1), which control the behavior […]
New processors provide neural processing for human-like cognition at the edge
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 […]
Microchip Technology’s next-gen-ready Serial Memory Controller captures 2019 LEAP Award
The votes are in. Business-to-Business publisher WTWH Media, LLC, has announced the winners of the second-year Leadership in Engineering Achievement Program (LEAP) Awards, a design engineering product competition honoring the most exciting new products in a host of technology areas: Additive Manufacturing, Advanced Materials, Analog Electronics, Connectivity, Embedded Computing, Fastener Technology, Hydraulics, Industrial Automation, Mechanical, […]
FPGA-based PCIe accelerator board optimized for AI, ML, high-bandwidth tasks
Achronix Semiconductor Corporation and BittWare announced a new class of FPGA accelerator card targeting high-performance compute and data acceleration applications. The VectorPath S7t-VG6 accelerator card features the 7nm Speedster7t AC7t1500 FPGA and offers the industry’s highest performance interfaces available on a PCIe FPGA accelerator card. The card includes 1x400GbE and 2x100GbE ports and 8 banks of GDDR6 […]
Software machine learning development environment targets ADAS, next-gen auto apps
NXP Semiconductors N.V. has expanded its eIQ software machine learning (ML) development environment with its automotive-grade deep learning toolkit, eIQ Auto. The toolkit aims to help customers move quickly from a development environment to AI application implementations that meet stringent automotive standards. eIQ Auto enables the application of deep learning-based algorithms to vision, driver replacement, […]
MCU works at 1 GHz, excels at machine learning apps
NXP Semiconductors N.V. announced the i.MX RT1170 family of crossover MCUs that combines unprecedented performance, reliability, and high levels of integration to propel industrial, IoT and automotive applications. The NXP i.MX RT1170 family reinforces the Company’s commitment to advance edge computing with its EdgeVerse portfolio of solutions and marks a technology breakthrough with MCUs that run […]
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