Synopsys announced the availability of the new embARC Machine Learning Inference software library to facilitate development of power-efficient neural network system-on-chip (SoC) designs incorporating Synopsys’ DesignWare ARC EM and HS DSP Processor IP. The embARC Machine Learning Inference (MLI) software library provides developers with optimized functions to implement neural network layer types, significantly reducing processor cycle […]
Machine learning
SoC development kits boost endpoint AI and Machine Learning efforts
QuickLogic Corporation, a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, announced the launch of its Merced EOS S3AI Hardware Development Kit (HDK) to enable quick development of applications for endpoint Artificial Intelligence (AI) and Machine Learning (ML). The Merced HDK is an evaluation platform for QuickLogic’s EOS S3AI SoC […]
Advanced inertial sensors add machine learning to improve activity-tracking, battery life in mobiles and wearables
ST Microelectronics has integrated machine-learning technology into its advanced inertial sensors to improve activity-tracking performance and battery life in mobiles and wearables. The LSM6DSOX iNEMO sensor contains a machine-learning core to classify motion data based on known patterns. Relieving this first stage of activity tracking from the main processor saves energy and accelerates motion-based apps such as […]
Design verification platform for RISC-V-based AI and ML semiconductor solutions
Valtrix Technologies, an EDA company delivering Design Verification (DV) solutions for the semiconductor industry, announced that Esperanto Technologies has selected Valtrix’s STING DV Platform for design verification of its energy-efficient semiconductor solutions for artificial intelligence (AI) and machine learning (ML) based on the open standard RISC-V instruction set architecture. Esperanto plans to use STING for verifying the […]
SoC performs machine learning inferencing in < 2mW
Eta Compute Inc., a company dedicated to delivering machine learning to mobile and edge devices using its revolutionary new platform, today announced the availability of its latest machine learning SoC that includes autonomous learning. Named TENSAI, the product performs image classification, keyword spotting, and wakeup word detection that redefines the standard for ultra-low power embedded […]
Neural network compiler now supports Open Neural Network Exchange
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 […]
AI-enabled app leverages machine learning algorithms
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 […]
Switches provide 16 GT/s PCIe connectivity for ML, data center servers, storage markets
Microsemi Corporation announced sampling availability of its Switchtec Gen 4 PCIe switches, enabling customers to build next-generation high performance, low latency interconnect solutions in high growth markets including machine learning, data center servers and storage equipment. The new generation of PCIe switches, which offer high density and reliability as well as low power, provide customers […]
Programming tool supports FGPAs for embedded computing
SLX for FPGA is a new programming tool to support the increasing use of FPGAs for embedded computing tasks such as sensor fusion and deep learning. It has been developed in partnership with customers who will use the solution for automotive, industrial automation and defense projects. We believe this to be the first time that […]
FPGA cores target deep learning, neural network processing tasks
Flex Logix Technologies, Inc., a supplier of embedded FPGA (eFPGA) IP, architecture and software, announced today a new member of the EFLXÒ4K eFPGA Core Family: the EFLX4K Artificial Intelligence (AI) eFPGA core. This new core has been specifically designed to enhance the performance of deep learning by 10X and enable more neural network processing per […]
