This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research establishes firsts in AI across research and proof-of-concept. At Qualcomm, we have a culture of innovation. We take pride in researching and developing fundamental technologies that will change the world. It’s also in our […]
Leading Research Delivers AI Firsts Read More +
This blog post was originally published at Hasty’s website. It is reprinted here with the permission of Hasty. The previous post featuring our results on the PASCAL VOC 2012 cleansing project was successful. We attracted your attention and got you talking about the Data-centric AI development approach on Reddit and the Slack communities. There was
Further Pascal VOC 2012 Exploration and Plans for the Future Read More +
CEVA’s WhisPro speech recognition and control software is now available for TI’s CC3235x family, bringing ultra-low power, robust voice user interface to IoT endpoints ROCKVILLE, MD – November 15, 2022 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies and co-creation solutions, announced today the availability of its WhisPro™ speech
CEVA Introduces Voice User Interface Solution for TI SimpleLink Wi-Fi Wireless MCUs Read More +
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. Today, ST is officially becoming a member of MLCommons™, the consortium responsible for benchmarks quantifying machine learning performance in mobile platforms, data centers, and embedded systems, among others. The initiative enables engineers and decision-makers to grasp where
ST Joins MLCommons: Why One Benchmark Can Help Teams Adopt Machine Learning At the Edge Read More +
10 Nov 2022 | Geneva | Enhancing its tools to accelerate embedded Artificial-Intelligence (AI) and Machine-Learning (ML) development projects, STMicroelectronics has released upgrades to both NanoEdge AI Studio and STM32Cube.AI. These tools facilitate moving AI and ML to the edge of an application. At the edge, AI/ML delivers substantial advantages, which include privacy by design,
On February 7, 2023 at 9 am PT (noon ET), Avi Baum, CTO, and Mark Grobman, Machine Learning CTO, both of Hailo, will present the free hour webinar “Implementing Advanced AI-based Analytics for Video Management Systems,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: The term video
Free Webinar Explores How to Implement AI-based Analytics for VMS Read More +
Althea Mirvis, Vice President of Marketing at Visionary.ai, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Mirvis demonstrates the company’s True Night Vision technology. The demo showcases Visionary.ai’s extremely low light performance. Two cameras with identical hardware are placed inside a box, one using a
Visionary.ai Demonstration of True Night Vision Technology Read More +
Dr. Wolfgang Domann, Managing Director, and Dipl.-Ing. Johannes Traxler, CEO, both of EYYES GmbH, demonstrate the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Domann and Traxler demonstrate the company’s product range. EYYES provides a full stack of technology to create complete AI products and solutions. The
EYYES Demonstration of AI Technologies for a Safer World Read More +
Vaida Jasulaityte, Business Development Director at Visidon, demonstrates the company’s latest edge AI and vision technologies and products in Synopsys’ booth at the 2022 Embedded Vision Summit. Specifically, Jasulaityte demonstrates Visidon’s Driver Monitoring System (DMS) running on a Synopsys ARC® EV7x Vision Processor. In the demo, Jasulaityte shows how Visidon’s DMS, a vehicle safety system,
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In Exploring AIMET’s Post-Training Quantization Methods, we discussed Cross-layer Equalization (CLE), Bias Correction, and AdaRound in AIMET. Using these methods, the weights and activations of neural network models can be reduced to lower bit-width representations, thus reducing
Exploring AIMET’s Quantization-aware Training Functionality Read More +
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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