The US company says putting AI processors in space would ease pressure on the Earth's resources. The US company says putting AI processors in space would ease pressure on the Earth's resources. US technology company's engineers want to exploit solar power and the falling cost of rocket launches Google is hatching plans to put artificial intelligence datacentres into space, with its first trial equipment sent into orbit in early 2027. Its scientists and engineers believe tightly packed constellations of about 80 solar-powered satellites could be arranged in orbit about 400 miles above the Earth's surface equipped with the powerful processors required to meet rising demand for AI. Prices of space launches are falling so quickly that by the middle of the 2030s the running costs of a space-based datacentre could be comparable to one on Earth, according to Google research released on Tuesday.

The EU has revealed details of a 20bn ( 17bn) plan to create new sites equipped with vast supercomputers in Europe to develop the next generation of artificial intelligence models, while opening the door to amending its landmark law that regulates the technology. Publishing a strategy to turn Europe into an "AI continent", the European Commission vice-president Henna Virkkunen said the technology was at the heart of making Europe more competitive, secure and technologically sovereign, adding: "The global race for AI is far from over." The EU is attempting to catch up with the US and China, which have taken a lead in pioneering the technology that increasingly powers shopping websites and self-driving cars, generates text, and is predicted to play a transformative role in healthcare, security and defence, and advanced manufacturing, among other sectors. The US has a commanding lead in AI, far ahead of China. A report from Stanford University this week said 40 "notable AI models" – meaning influential – were produced by institutions in the US in 2024, compared with 15 in China and three in Europe (all French).

Since Intel doesn't plan a desktop CPU with AI capabilities until later this year, PC makers are turning to chip startups instead –and the future may be in the Lenovo ThinkCentre Neo Ultra, potentially with AI cards from MemryX and Kinara inside. Lenovo will launch the ThinkCentre Neo Ultra in June for about 1,000, product manager Bryan Lin said from Lenovo's booth at CES 2024. While Lenovo's documentation does not officially include either AI processor, it's likely. And the small content-creation desktop was at CES showcasing both AI cards. While AMD, Intel and Qualcomm have all shown mobile processors with integrated AI NPUs, only AMD has announced a desktop Ryzen processor with an APU inside.

Nvidia CEO Jensen Huang said on Monday that his company would do its best to supply its artificial intelligence processors to Japan amid extremely high market demand. Japan is rushing to rebuild its once world-leading semiconductor infrastructure and catch up on the development of AI technology. The graphics processing units (GPUs) made by U.S.-based Nvidia dominate the market for AI. "Demand is very high, but I promised the prime minister we will do our very, very best to prioritize Japan's requirements for GPUs," Huang told reporters at Prime Minister Fumio Kishida's official residence in Tokyo. Huang's visit came less than two weeks after Japan passed an extra budget that included about ¥2 trillion ($13.60 billion) earmarked for chip investment.

Together, Aetina and Hailo are launching multi-inference AI solutions that use 4x Hailo-8TM AI accelerators in the AI-MXM-H84A MXM, Aetina's AI inference platform (AIP-SQ67), and object recognition AI models. The AIP-SQ67 platform, powered by Aetina's AI-MXM-H84A MXM module, offers enough processing power to enable real-time video analytics processing and numerous, low-latency AI inference tasks at the edge, with up to 104 Tera-Operations Per Second (TOPS) of AI performance from Hailo's AI processors. The AI technologies are appropriate for a variety of applications in cities and transportation networks since they are capable of identifying diverse objects, such as people and vehicles, and evaluating large video datasets from multiple cameras simultaneously. Aetina and Hailo will present the solutions at ISC West 2023. The MegaEdge family member AIP-SQ67 from Aetina boasts an Intel 12th Gen CoreTM processor and expansion slots for up to two M.2 AI accelerators and one MXM.

Half a billion years ago something remarkable occurred: an astonishing, sudden increase in new species of organisms. Paleontologists call it the Cambrian Explosion, and many of the animals on the planet today trace their lineage back to this event. A similar thing is happening in processors for embedded vision and artificial intelligence (AI) today, and nowhere will that be more evident than at the Embedded Vision Summit, which will be an in–person event held in Santa Clara, California, from May 16–19. The Summit focuses on practical know–how for product creators incorporating AI and vision in their products. These products demand AI processors that balance conflicting needs for high performance, low power, and cost sensitivity.

Ibase Technology Inc., a provider of embedded computing platforms, is partnering with artificial intelligence chipmaker Hailo to develop new products, according to a company press release. Ibase and Hailo are launching the 11th Gen Intel Core U-Series-based (formerly Tiger Lake) ASB210-953-AI edge AI computing system, targeted at artificial intelligence applications in multiple sectors, including smart cities, industry 4.0 and the automotive industry. "Our collaboration with Hailo enables us to offer customers edge AI inference systems with unprecedented performance and responsiveness," Albert Lee, EVP at Ibase, said in the release. "With a best-in-class AI processor packaged in a module, the Hailo-8 is compatible with NGFF M.2 form factor, as well as with M, B M and A E keys that can be perfectly adopted in our ASB210-953-AI platform to execute real-time deep neural network inferencing in a wide range of market applications." The compact system comes with flexible expansion supporting high-speed 5G connectivity and three M.2 modules.

Qualcomm, one of the world's leading 5G inventors, has introduced its newest modem technology, codenamed Snapdragon X70 at Mobile World Congress in Barcelona, Spain. According to Qualcomm, the Snapdragon X70 5G Modem-RF (Radio Front End) system also uses AI and machine learning to provide "breakthrough 5G speeds, coverage, low latency, and battery economy," according to Qualcomm. Qualcomm also unveiled an extended range of 5G Open RAN (Radio Access Networks) solutions. Client devices will soon benefit from a variety of AI-optimized performance advancements that are important for unleashing the full potential of 5G cellular connection in the years ahead. Qualcomm is presenting the Snapdragon X70 today, claiming it to be the world's first 5G AI processor in a modem-RF combination.

Between booming fields like autonomous vehicles and robotics, computer vision has become one of the hottest applications of artificial intelligence. Arguably more so than other AI applications, computer vision relies heavily on the underlying hardware, where software performance can be limited by the underlying processing units and imaging systems. For this reason, EEs across the board are focused on pushing the boundaries of state-of-the-art and developing the best vision hardware possible. To go along with this push, multiple smaller-name companies, specifically Syntiant and Intuitive, have been aiming to make headlines. This article will take a look at each company's latest advancement to get a feel for what's happening in the industry as a whole.

Munich and Tel Aviv, September 30, 2021 – MicroSys Electronics announced today its partnership with artificial intelligence chipmaker Hailo to launch its miriac AIP-LX2160A embedded platform, hosting up to 5 integrated Hailo-8 AI accelerator modules. The new edge server-grade AI solution enables high-performance and scalable AI inference capabilities at the edge. The new, application-ready AI platform offers industries a high bandwidth and power-efficient solution at the edge for a range of applications in Industry 4.0, such as automotive and heavy machinery. Powered by the NXP QorIQ Layerscape LX2160A high-throughput processor technology, the miriac AIP-LX2160A can integrate multiple advanced Hailo-8 AI accelerators and offers best-in-class processing performance and deep learning capabilities of up to 130 tera-operations per second (TOPS). The combined solution delivers exceptional AI computing performance across multiple standard NN benchmarks, including over 6000 Frames Per Second (FPS) on Resnet-50, over 5000 FPS on Mobilenet-V1 SSD and close to 1000 FPS on YOLOv5m.