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, […]
Machine learning
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 […]
Validating correct behavior in ADAS and AV systems
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 […]