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Artificial intelligence/ML

Neural network compiler now supports Open Neural Network Exchange

October 24, 2018 By Aimee Kalnoskas Leave a Comment

CDNN compiler

CEVA, Inc. announced that the latest release of its CEVA Deep Neural Network (CDNN) compiler supports the Open Neural Network Exchange (ONNX) format.  “CEVA is fully committed to ensuring an open, interoperable AI ecosystem, where AI application developers can take advantage of the features and ease-of-use of the various deep learning frameworks most suitable to […]

Filed Under: Applications, Artificial intelligence/ML, Machine learning, microcontroller, Tools Tagged With: ceva

32-bit microcontroller family now supports Amazon FreeRTOS

October 19, 2018 By Aimee Kalnoskas Leave a Comment

Amazon FreeRTOS

Infineon Technologies AG now allows for easy and secured use of new generation sensors featuring new AI functionalities running on Amazon Web Services (AWS) to help facilitate connections required for cloud services and artificial intelligence, in particular. Also to that end, the company is releasing a connected development board with WiFI and EtherCAT connectivity for industrial […]

Filed Under: 32-bit, Applications, Artificial intelligence/ML, Connectivity, Embedded, IoT, microcontroller, RTOS, Tools Tagged With: amazon, infineontechnologies

Next-gen memory platform builds-in processor for fail-safe storage

October 12, 2018 By Aimee Kalnoskas Leave a Comment

data logging RAM

Cypress Semiconductor Corp. today announced it has embedded compute capabilities into its next-generation memory platform to address the growing demand for trusted intelligence and fail-safe storage in applications such as Advanced Driver Assistance Systems (ADAS) and smart factories. The platform includes standardized intellectual property (IP) that can be reconfigured quickly to address emerging applications. Cypress’ […]

Filed Under: Applications, Artificial intelligence/ML, Embedded, IoT Tagged With: cypresssemiconductorcorp

Microprocessors achieves real-time image processing at low power consumption

October 5, 2018 By Aimee Kalnoskas Leave a Comment

Renesas microprocessors

Renesas Electronics Corporation is expanding its range of embedded artificial intelligence (e-AI) solutions for incorporating AI into embedded systems by bringing intelligence to endpoints. The new RZ/A2M microprocessor (MPU) expands the use of e-AI solutions to high-end applications and delivers 10 times the image processing performance of its predecessor, the RZ/A1. It also incorporates Renesas’ exclusive Dynamically […]

Filed Under: Applications, Artificial intelligence/ML, microcontroller Tagged With: renesaselectronicscorporation

Computing hardware platform accelerates AI development efforts

October 3, 2018 By Aimee Kalnoskas Leave a Comment

computing hardware platform

Enabling a new era of rapid innovation for any application by any developer, Xilinx, Inc. CEO Victor Peng unveiled Versal– the industry’s first adaptive compute acceleration platform (ACAP). Versal ACAPs combine Scalar Processing Engines, Adaptable Hardware Engines, and Intelligent Engines with leading-edge memory and interfacing technologies to deliver powerful heterogeneous acceleration for any application. But most importantly, […]

Filed Under: Applications, Artificial intelligence/ML, Hardware, microcontroller Tagged With: xilinx

Ultra-low power AI stack expanded to include platforms, reference designs, tools

September 26, 2018 By Aimee Kalnoskas Leave a Comment

Lattice expanded features of the company’s popular Lattice sensAI stack designed to speed time-to-market for developers of flexible machine learning inferencing in consumer and industrial IoT applications. Building on the ultra-low power (1 mW-1 W) focus of the sensAI stack, Lattice is releasing new IP cores, reference designs, demos and hardware development kits that provide scalable […]

Filed Under: Applications, Artificial intelligence/ML, microcontroller Tagged With: latticesemiconductor

Neuromorphic SoC brings AI to the edge and enterprise

September 10, 2018 By Aimee Kalnoskas Leave a Comment

Akida Neuromorphic SoC

BrainChip Holdings Ltd. announces production of the spiking neural network architecture – the Akida Neuromorphic System-on-Chip (NSoC). The Akida NSoC is small, low cost and low power, making it ideal for edge applications such as advanced driver assistance systems (ADAS), autonomous vehicles, drones, vision-guided robotics, surveillance and machine vision systems. Its scalability allows users to network […]

Filed Under: Applications, Artificial intelligence/ML, Connectivity, microcontroller Tagged With: brainchipholdingsltd.

AI-enabled app leverages machine learning algorithms

August 27, 2018 By Aimee Kalnoskas Leave a Comment

Synopsys, Inc. announced a state-of-the-art artificial intelligence (AI) enabled formal verification app, Regression Mode Accelerator, as part of the Synopsys VC Formal solution. This VC Formal app leverages state-of-the-art machine learning algorithms to deliver 10X speed-up in formal property verification during the design and verification cycle. Along with significant performance speed-up, use of this app accelerates […]

Filed Under: Applications, Artificial intelligence/ML, Industry News, Machine learning, microcontroller, Tools Tagged With: stmicroelectronicsinc, synopsys

Million-mile drives on computers that don’t move

August 16, 2018 By Lee Teschler Leave a Comment

Simulation is the only way to get the kind of confidence necessary to field autonomous vehicle functions. Karsten Krügel, Sven Flake, dSPACE GmbH HOW do you ensure that an autonomous vehicle will perform safely when the driver’s responsibility has essentially been removed? The necessity for reliable operation under this scenario is raising major challenges within […]

Filed Under: Applications, Artificial intelligence/ML, Automotive, FAQ, Featured Tagged With: dspace, FAQ

New GPU architecture features better accelerated ray tracing, AI inferencing

August 14, 2018 By Aimee Kalnoskas Leave a Comment

resource for electrical engineers

NVIDIA today reinvented computer graphics with the launch of the NVIDIA Turing GPU architecture. Turing features new RT Cores to accelerate ray tracing and new Tensor Cores for AI inferencing which, together for the first time, make real-time ray tracing possible. These two engines — along with more powerful compute for simulation and enhanced rasterization — usher in a new […]

Filed Under: Applications, Artificial intelligence/ML, microcontroller Tagged With: nvidia

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