A new suite of products and services help drive enterprise adoption of deep learning, at scale, on intelligent edge devices and in data centers. The offerings build on DeepCube’s patented platform, which is the industry’s first software-based deep learning accelerator that drastically improves performance on any existing hardware. Now, DeepCube will offer solutions for neural […]
Machine learning
Open-source MCU/eFPGA SoC development kit fits in a USB port
QuickLogic Corporation announced the introduction of its new Qomu development kit, a tiny form factor Arm Cortex M4F MCU + eFPGA combination that fits into a USB Type-A port. Optimized for the QuickLogic Open Reconfigurable Computing (QORC) initiative, the kit is supported by a wide variety of vendor-supported open source development tools, including Zephyr and […]
PCIe 5.0 switches double interconnect performance for machine learning and hyperscale computing applications
Applications such as data analytics, autonomous driving, and medical diagnostics are driving extraordinary demands for machine learning and hyper scale compute infrastructure. To meet these demands, Microchip Technology Inc. announced the world’s first PCI Express (PCIe) 5.0 switch solutions — the Switchtec PFX PCIe 5.0 family — doubling the interconnect performance for dense compute, high-speed networking, […]
AI inference computing platform handles edge AIoT environments
Aetina Corporation announced its new SuperEdge product series, the powerful AI inference computing platform for edge AIoT environments. Aetina SuperEdge is an NVIDIA NGC-ReadyTM system validated to run deep learning and inference applications. The verification allows for faster machine learning training for developers and the edge solution management platform’s critical backing. AIS-D422-A1, the pilot product […]
AI SoC handles audio, voice, health monitoring and sensor apps
Atlazo, Inc. announced the launch of its first-generation AI SoC, AZ-N1, for smart tiny devices. The device is the industry’s first fully-integrated AI SoC featuring a high power-efficient Artificial Intelligence and Machine Learning processor (Axon ITM) for audio, voice, health monitoring, and sensors. Atlazo’s hyper-low-power AZ-N1 AI SoC also integrates a low-power CODEC supporting up […]
Dev kit simplifies development of 3D machine control and guidance systems
ACEINNA announced the general market availability of ACEINNA OpenRTK330LI EVK, a complete evaluation, and a development kit for the OpenRTK330LI GNSS/INS module. The OpenRTK330LI EVK accelerates development and reduces time to market of custom navigation and guidance systems fusing inertial measurements and multi-band RTK/GNSS positioning. The OpenIMU330LI Module is a very compact, low cost, state-of-the-art, […]
Software platform handles edge AI development, deployment, management tasks
Blaize fully unveiled the Blaize AI Studio offering, the industry’s first open and code-free software platform to span the complete edge AI operational workflow from idea to development, deployment, and management. AI Studio dramatically reduces edge AI application deployment complexity, time, and cost by breaking the barriers within existing application development and machine learning operations […]
MCUs feature cap-touch sensing, low power consumption for HMI-based IoT apps
Renesas Electronics Corporation announced the expansion of its 32-bit RA2 Series microcontrollers (MCUs) with 20 new RA2L1 Group MCUs, increasing the RA Family to 66 MCUs. The general-purpose RA2L1 MCUs use the Arm Cortex-M23 core operating up to 48 MHz. The RA2L1 MCUs are supported by the easy-to-use Flexible Software Package (FSP) and Renesas’ partner ecosystem, […]
Protocol exerciser handles PCIe 5.0 traffic validation
Viavi Solutions Inc. introduced the Xgig Protocol Exerciser for the 5P16 Platform for protocol traffic validation and performance evaluation. Together with the recently introduced Xgig 5P16 Analyzer — the first 16-lane protocol analysis system for PCIe 5.0 — the VIAVI Xgig Protocol Exerciser enables powerful real-time emulation, manipulation, and analysis of PCIe 5.0 data traffic at all layers of the stack. The VIAVI Xgig […]
RISC-V for artificial intelligence machine learning and embedded systems
Several RISC-V development efforts are targeting applications such as artificial intelligence (AI), machine learning (ML), deep learning (DL), and other high-performance embedded applications. The previous two FAQs in this series considered the capabilities of RISC-V and the near-term risks associated with the technology, and the growing availability of tools that are helping to reduce the […]