There are currently about 250 companies in the head mounted wearables category and these companies in aggregate have received over $5B in funding. $700M has been invested in this category just since the beginning of the year. On the M&A front, there have already been a number of significant acquisitions in the space, notably the […]
Smart Glasses for the Consumer Market Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The NVIDIA Maxine AI developer platform is a suite of NVIDIA NIM microservices, cloud-accelerated microservices, and SDKs that offer state-of-the-art features for enhancing real-time video and audio. NVIDIA partners use Maxine features to create better virtual interaction
Orchestrating Innovation at Scale with NVIDIA Maxine and Texel Read More +
Rakshit Agrawal, Co-Founder and CEO of Ryddle AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2024 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential data, such as human languages,
“Transformer Networks: How They Work and Why They Matter,” a Presentation from Ryddle AI Read More +
David Henderson, Industrial Segment Director at Micron Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Khalilian demonstrates his company’s latest DRAM and flash memory products. Demonstrations include: Image recognition and matching on an i.MX 8 Plus-based platform containing Micron’s DRAM, eMMC and serial NOR
Micron Technology Demonstration of Its DRAM and Flash Memory Product Lines Read More +
Ramit Pahwa, Machine Learning Scientist at Rivian, presents the “Removing Weather-related Image Degradation at the Edge” tutorial at the May 2024 Embedded Vision Summit. For machines that operate outdoors—such as autonomous cars and trucks—image quality degradation due to weather conditions presents a significant challenge. For example, snow, rainfall and raindrops on optical surfaces can wreak
“Removing Weather-related Image Degradation at the Edge,” a Presentation from Rivian Read More +
Since thermal cameras have been an automotive technology for 25 years and are still not prevalent, it’s clear that developments are required for them to become a common choice in ADAS sensor suites. Although over 1.2 million on-road vehicles have thermal LWIR camera technology installed, this is 0.08% of the estimated total of 1.5 billion
The Two Long-wave Infrared Innovations Required for a US$500M Market Read More +
AI servers, driven by Nvidia’s GB200 superchip, have experienced significant growth. The cutting-edge B200 chip, due to its high thermal design power, requires direct-to-chip cooling. Supermicro announced that it had shipped over 2000 direct-liquid-cooled AI server racks by the end of August 2024, and it has expanded its manufacturing capacity to 5000 racks per month.
The Rise of AI Drives a Ninefold Surge in Liquid Cooling Technology Read More +
Raghava Kashyapa, CEO of Qualitas Technologies, presents the “Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Kashyapa explores how advanced image acquisition techniques reveal previously unseen information, improving the ability of algorithms to provide valuable insights. He introduces various techniques, including
AMD launches 5th Gen AMD EPYC processors, AMD Instinct MI325X accelerators, next gen networking solutions and AMD Ryzen AI PRO processors powering enterprise AI at scale Dell, Google Cloud, HPE, Lenovo, Meta, Microsoft, Oracle Cloud Infrastructure, Supermicro and AI leaders Databricks, Essential AI, Fireworks AI, Luma AI and Reka AI joined AMD to showcase expanding
AMD Unveils Leadership AI Solutions at Advancing AI 2024 Read More +
The commercialization of autonomous driving technology in the trucking industry has rapidly advanced in 2024, presenting substantial potential to address critical industry challenges such as high operational costs, driver shortages, and safety concerns. It is expected that the global trucking fleet will be supported by an additional half million L4 autonomous drivers, while the remaining
The Global Race for Autonomous Trucks: How the US, EU, and China Transform Transport Read More +
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