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Machine learning

SRAM PUF-based security IP protects Intel FPGAs

June 12, 2022 By Redding Traiger

Intrinsic announced the immediate availability of its SRAM PUF-based hardware IP “QuiddiKey for Intel FPGAs”. QuiddiKey for Intel FPGAs is device-level security IP that comes pre-integrated as part of the security infrastructure of several Intel FPGA families. It creates a more secure platform by providing access to Intrinsic ID’s SRAM PUF technology on the FPGAs. […]

Filed Under: Aerospace and Defense, Artificial intelligence, Connectivity, FPGA, Hardware, Machine learning, Products, Security, Tools Tagged With: intrinsic

Smart parking reference design incorporates machines learning

March 17, 2022 By Redding Traiger

XMOS announced its reference solution for Automatic License Plate Recognition (ALPR), designed to move ALPR in parking garages away from complex, resource-intensive hardware and towards simple on-device AI.   Developed in partnership with computing specialist Cloudtop, the reference design can read slow-moving license plates at a distance of 3-5 meters with high accuracy. Thanks to […]

Filed Under: Artificial intelligence, Connectivity, Machine learning, Reference designs, Tools Tagged With: xmos

Rad-hard eFPGA IP works with 90-nm rad-hard fab process

March 9, 2022 By Redding Traiger

QuickLogic Corporation announced it has teamed with SkyWater Technology to make a “fast boot” rad-hard eFPGA IP available to users of SkyWater’s 90 nm rad-hard (RH90) process. This technology can be embedded as an IP core in ASIC and SoC devices or implemented as a custom rad-hard FPGA for mission-critical and/or ruggedized applications. QuickLogic’s eFPGA […]

Filed Under: Aerospace and Defense, Artificial intelligence, Consumer Electronics, Development Kits, FPGA, Machine learning, Products, SoC, Tools Tagged With: quicklogic, skywatertechnology

tinyML platform supports deep learning anomaly detection

February 28, 2022 By Redding Traiger

Imagimob announced that its new release of the tinyML platform Imagimob AI supports end-to-end development of deep learning anomaly detection. A big strength of deep learning anomaly detection is that it delivers high performance as well as eliminates the need for feature engineering, thus saving costs and reducing time-to-market. Not only is deep learning anomaly […]

Filed Under: Artificial intelligence, Hardware, Machine learning, Products, Tools Tagged With: imagimob

3U OpenVPX DSP processing module features 10-core Intel Xeon D-1700 processor, Xilinx FPGA

February 25, 2022 By Redding Traiger

Curtiss-Wright’s Defense Solutions introduced the CHAMP-XD3, its highest performance, security-enhanced, 3U OpenVPX digital signal processing (DSP) processing module. Based on the just-announced Intel XeonD-1700 processor, the SOSA-aligned payload card represents a “quantum leap” for sensor data processing capability in size, weight, and power (SWaP) constrained applications. The CHAMP-XD3 combines a 10-core Intel Xeon D-1700 processor for DSP […]

Filed Under: Artificial intelligence, FPGA, Machine learning, Processors, Products, Security, Tools Tagged With: curtisswrightdefensesolutions

New memory chip includes computing capabilities

February 16, 2022 By Redding Traiger

SK hynix announced that it has developed PIM*, a next-generation memory chip with computing capabilities. It has been generally accepted that memory chips store data and CPU or GPU, like a human brain, processes data. SK hynix, following its challenge to such notion and efforts to pursue innovation in the next-generation smart memory, has found […]

Filed Under: Accelerators, Artificial intelligence, Machine learning, Memory, Products, Tools Tagged With: skhynix

Machine learning ICs operate in analog domain

February 16, 2022 By Redding Traiger

launched the first member of its analogML family, the AML100, which is the industry’s first and only tiny machine learning (ML) solution operating completely within the analog domain. As such, the AML100 reduces always-on system power by 95%, allowing manufacturers to dramatically extend the battery life of today’s devices or migrate walled powered always-on devices to the […]

Filed Under: Applications, Consumer Electronics, Machine learning, Products, Security, Software, Tools Tagged With: aspinity

IoT development tools work on ultra-low power PSoC 6 MCUs

February 9, 2022 By Redding Traiger

Infineon Technologies AG is collaborating with SensiML for building intelligent Internet of Things (IoT) endpoints. Together they offer developers an easy and seamless process to capture data from Infineon XENSIV sensors, train Machine Learning (ML) models, and deploy real-time inferencing models directly on ultra-low-power PSoC 6 microcontrollers (MCUs). This can be completed by using the SensiML […]

Filed Under: Artificial intelligence, Connectivity, Consumer Electronics, Development Kits, Industrial, IoT, Machine learning, microcontroller, Products, Security, Software, Tools Tagged With: infineontechnologiesag, sensimlcorporation

AI/ML software runs on PSoC TM 6 MCUs

February 8, 2022 By Redding Traiger

SensiML Corporation announced that it has teamed with Infineon Technologies to deliver a complete AI/Machine Learning (ML) solution for the Infineon PSoCTM 6 family of microcontrollers (MCUs) and the wide range of sensors they support. The collaboration combines SensiML’s Analytics Toolkit AI development software with the Infineon ModusToolboxTM and ultra-low power dual-core PSoC 6 MCUs, […]

Filed Under: Artificial intelligence, Consumer Electronics, Development Kits, Industrial, IoT, Machine learning, microcontroller, Products, Software, Tools Tagged With: sensimlcorporation

How to improve ADAS with hardware designed to support real-time decision making

December 20, 2021 By Aimee Kalnoskas

By Dustin Seetoo, Director of Product Marketing, Premio Inc. Deep learning for autonomous vehicle systems requires a blended software and hardware strategy In-step deep learning training and inference Deep learning training and deep learning inference are very different processes, each with a specific role in developing more advanced autonomous driving systems. Deep learning training taps […]

Filed Under: Applications, Automotive, Machine learning, Wireless Tagged With: FAQ

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