Autonomous vehicles must operate in a world of uncertainties. Validation platforms are now capable of determining whether behavior is correct given complex contextual attributes. David Fritz, Mentor, A Siemens Business There is an interesting dashcam video circulating in the autonomous vehicle (AV) development community of a Tesla-paid test driver coming up on what the driver […]
Edge processor specifically designed for audio and machine learning applications
Knowles Corporation announced the IA8201, the latest product in its Knowles AISonic family of audio edge processors. The IA8201 offers robust voice activation and multi-microphone audio processing optimized for power-sensitive applications. This processor has the compute power to perform advanced audio output, context awareness and gesture control for today’s most advanced consumer electronics. Processing audio […]
FPGAs optimized for machine-learning, high-bandwidth networking
Achronix Semiconductor Corporation introduced an innovative, new FPGA family, to meet the growing demands of artificial intelligence/ machine learning (AI/ML) and high-bandwidth data acceleration applications. The Achronix Speedster 7t family – based on a new, highly optimized architecture – goes beyond traditional FPGA solutions featuring ASIC-like performance, FPGA adaptability and enhanced functionality to streamline design. […]
AI stack upgrade provides 10x boost in performance with <1 W power consumption
Lattice Semiconductor Corporation announced major performance and design flow enhancements for its award-winning Lattice sensAI solutions stack. The Lattice sensAI stack provides a comprehensive hardware and software solution for implementing low power (1mW-1W), always-on artificial intelligence (AI) functionality in smart devices operating at the edge. Additionally, enhancements to the stack’s memory schemes address a key […]
GUI for advanced inertial measurement units simplifies custom motion-sensing designs
STMicroelectronics’ Unico GUI greatly simplifies configuring the finite state machine and machine learning core (FSM and MLC) logic of its latest Inertial Measurement Units (IMU), including the recently announced LSM6DSO and LSM6DSOX 6-axis modules. The FSM logic lets users run gesture and motion-recognition algorithms directly in the sensor for always-on convenience and low power consumption. The MLC […]
Face-tracking module features easy integration
With the business scenarios escalating, there is more of a demand to upgrade technology. The new product, Ruff Face ID Module, a face tracking module Ruff launched, is based on IoT+ machine learning skills that can implant the original complex AI algorithm into a 35mm 42mm chip. The AI chip provides neural network computing with […]
Machine Learning Inference software facilitates neural network SoC dev
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 […]
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 […]
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