Brian Dipert

TI Debuts New Automotive Chips at CES, Enabling Automakers to Create Smarter, Safer Vehicles

News highlights: The industry’s first single-chip radar sensor designed for satellite architectures can increase vehicle sensing ranges beyond 200 meters and enable more accurate advanced driver assistance systems (ADAS) decision-making. New driver chips support safe and efficient control of power flow in battery management or other powertrain systems with functional safety compliance and built-in diagnostics […]

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VeriSilicon Unveils New VC9800 IP

Delivering exceptional throughput, AI-powered encoding, and superb image enhancement for data centers Las Vegas, USA, January 8, 2024–VeriSilicon (688521.SH) today unveiled its latest VC9800 series Video Processor Unit (VPU) IP with enhanced video processing performance to strengthen its presence in the data center applications. The newly launched series IP caters to the advanced requirements of

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Expedera NPUs Run Large Language Models Natively on Edge Devices

Highlights Expedera NPU IP adds native support for LLMs, including stable diffusion Origin NPUs deliver the power-performance profile needed to run LLMs on edge and portable devices SANTA CLARA, Calif., Jan. 8, 2024 /PRNewswire/ — Expedera, Inc, a leading provider of customizable Neural Processing Unit (NPU) semiconductor intellectual property (IP), announced today that its Origin

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Ceva Expands AI Ecosystem for its Class-leading NPU IP with New Partnerships for Automotive and Edge AI

Visionary.ai neural network software ISP for enhanced camera applications and ENOT.ai neural network optimization tools and AI assistance now available for Ceva’s NeuPro-M NPU LAS VEGAS, NV. – CES 2024 – January 8, 2024 – Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and

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Avnet and Syntiant Forge Strategic Alliance as Distribution Partners for Edge AI Technology

01/04/2024 – PHOENIX – Avnet (Nasdaq: AVT), a leading global technology distributor, has entered into a distribution agreement with Syntiant, a leader in edge AI deployment. The partnership aims to combine Syntiant’s innovative hardware edge AI solutions with Avnet’s extensive distribution capabilities, potentially accelerating the adoption of AI technologies across various sectors. Syntiant’s Neural Decision Processors bring ultra-low-power advanced sensing and decision-making

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BrainChip and NVISO Group Demonstrate AI-Enabled Human Behavioral Analysis at CES 2024

Laguna Hills, Calif. – January 5, 2024 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, and NVISO Group Ltd, a global leader in human behavior AI software, will showcase a joint system that enables more advanced, more capable and more

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The SHD Group Has Released a Complimentary Version of the 2024 RISC-V Market Analysis Report Containing Current Market Data and Future Projections

The more comprehensive version of the RISC-V Market Analysis Report is also available for those seeking a deeper dive and more granular data on the global RISC-V market. SAN JOSE, Calif. – January 4, 2024 – The SHD Group, a leading trade analyst and business development firm, today announced the release of a free version

The SHD Group Has Released a Complimentary Version of the 2024 RISC-V Market Analysis Report Containing Current Market Data and Future Projections Read More +

CES 2024: eYs3D’s New Edge AI Chips Transforming Computer Vision for Robotics

New AI-dedicated eCV series SoCs with ARM-based CPUs elevate AI capabilities for advanced autonomous robots, smart home, and industrial IoT solutions; launch is key milestones for brand as it embraces “AI+” concept and expands offering LAS VEGAS, Nev. and TAIPEI, Jan. 5, 2024 /PRNewswire/ — Known as a leader in 3D sensing and computer vision semiconductors under

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Unlocking the Potential of Unlabelled Data with Zero Shot Models and Vector Databases

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Search and retrieval of thousands or even millions of images is a challenging task, especially when the data lacks explicit labels. Traditional search techniques rely on keywords, tags, or other annotations to match queries with relevant items.

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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