Urban planners in Vienna, Austria, installed their first smart traffic lights specifically designed to increase pedestrian safety in 2018. After years of analysis and improvement, the Graz University of Technology (TU Graz) researchers have now rolled out a second generation of exponentially more complex, deep learning-based software to 21 lights at four crosswalks. Unlike its predecessor, however, the new system is programmed to provide greater help to pedestrians with walking aids, wheelchairs, and even baby strollers. People with disabilities are disproportionately at risk when crossing busy streets. Pedestrians using wheelchairs, for example, are 36 percent more likely to die in a car-related accident when compared to victims struck while standing.

Amid the high-performance GPU turf tussle between AMD and Nvidia (and soon, Intel), a new, China-based player is emerging: Biren Technology, founded in 2019 and headquartered in Shanghai. "It is my honor to present our first-generation compute product: BR100," Xu said. "BR100 is dedicated to addressing the challenges of AI training and inference in the datacenter, with augmented goals of increasing productivity and reducing overall cost of ownership." At 1074mm2, the 77 billion-transistor, dual-die Biren BR100 (pictured in the header) will be manufactured on TSMC's 7nm process and capable of 256 FP32 teraflops. The die-to-die interconnect provides 896 gigabytes per second bandwidth.

When Intel introduced the Arc branding last year for its high-performance consumer graphics products, it demonstrated what the line's GPUs can do using video games. The company's latest Arc GPUs, however, aren't for gaming at all: They were designed for desktop and mobile workstations running apps like Adobe Premiere Pro, Handbrake and DaVinci Resolve Studio. Intel has launched its Arc Pro lineup with three models, starting with the Arc Pro A40 that has a "tiny, single-slot form factor." The Arc Pro A50 is a step up and has a larger dual-slot form, while the A30M was made specifically for laptops. All three models offer built-in ray tracing and machine learning capabilities, but their key specs differ a bit from each other.

So, you want to improve the performance of your deep learning model. How might you approach such a task? Often, folk fall back to a grab-bag of tricks that might've worked before or saw on a tweet. It's understandable why users often take such an ad-hoc approach performance on modern systems (particularly deep learning) often feels as much like alchemy as it does science. That being said, reasoning from first principles can still eliminate broad swathes of approaches, thus making the problem much more approachable. For example, getting good performance on a dataset with deep learning also involves a lot of guesswork. But, if your training loss is way lower than your test loss, you're in the "overfitting" regime, and you're wasting your time if you try to increase the capacity of your model.

If you've been shopping for new PlayStation 5 or Xbox Series X, the latest flagship consoles from Sony and Microsoft, respectively, you've no doubt noticed they're almost impossible to track down. But if you're looking in the Xbox corner, it's important to note that Microsoft has another current-gen gaming console--the all-digital Xbox Series S. The Series S is not only easier to find right now, it's also quite similar to the Series X in many ways for $200 less. Amongst Xbox gamers, holding out for the powerful Series X or springing for the more affordable Series S has been a point of debate. Amongst parents, it's been a point of confusion. Microsoft even has a "Help Me Choose" tool to help illustrate the differences.

While CES 2022 wasn't quite the full-blown, in-person event organizers were hoping for, the massive electronics show in Las Vegas, Nevada, still managed to deliver a stellar line-up of exciting technology. There's so much happening at CES, but there are always some announcements that really grab our attention and for those products, a highly coveted Hottest of CES 2022 TechRadar award is in sight. The TechRadar team spent all week voting on and debating over our favorite CES 2022 launches. What you'll find below are the results: The 20 hottest products from this year's show. LG came out swinging at CES 2022 by announcing a number of 8K and 4K OLEDs, several new QNED mini-LED TVs, and even a MicroLED TV.

Of course, the year when many media outlets and companies decide to skip on attending CES in person, Sony decides this is the year to make some news at its press conference. While we got more news on its EV plans, and next-gen TVs, Tom Holland was also drafted into the showcase to promote the forthcoming Uncharted feature film. Then it hit us with a barrage of specs for the highly anticipated next-gen PlayStation VR headset. It will, of course, be compatible with the PS5 and the VR2 Sense controllers we've already seen. It will have a display resolution of 2,000 x 2,040 pixel per eye, a 110-degree field of view, and be capable of 90 to 120Hz frame rates, all while supporting 4K HDR.

Amazon Web Services (AWS) announced the launch of the third generation of its AWS Graviton chip-powered instances, the AWS Graviton3, will power all-new Amazon Elastic Compute 2 (EC2) C7g instances, which are currently available in preview, three years after the original version of the processors was released. According to AWS, the new Graviton3-powered instances will give up to 25% faster compute performance and 2x more excellent floating-point performance than the current generation of AWS EC2 C6g Graviton2-powered instances be unveiled at the AWS re:Invent 2021 conference in Las Vegas. According to AWS Graviton2 instances, the new Graviton3 instances are up to 2x quicker when performing cryptographic workloads compared to the business. According to AWS, the new Graviton3-powered instances will give up to 3x more excellent performance for machine learning workloads than Graviton2-powered instances, including support for bfloat16. The AWS Graviton chips are Arm-based 7nm processors custom-built for cloud workloads by Annapurna Labs, an Israeli engineering startup AWS bought roughly six years ago.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Microsoft and Nvidia today announced that they trained what they claim is the largest and most capable AI-powered language model to date: Megatron-Turing Natural Language Generation (MT-NLP). The successor to the companies' Turing NLG 17B and Megatron-LM models, MT-NLP contains 530 billion parameters and achieves "unmatched" accuracy in a broad set of natural language tasks, Microsoft and Nvidia say -- including reading comprehension, commonsense reasoning, and natural language inferences. "The quality and results that we have obtained today are a big step forward in the journey towards unlocking the full promise of AI in natural language. The innovations of DeepSpeed and Megatron-LM will benefit existing and future AI model development and make large AI models cheaper and faster to train," Nvidia's senior director of product management and marketing for accelerated computing, Paresh Kharya, and group program manager for the Microsoft Turing team, Ali Alvi wrote in a blog post.

It is not news that China wants a rich, native, diverse semiconductor ecosystem to feed its largest consumers of compute. From supercomputing systems to those that power the country's largest online social and retail platforms, there is a close reckoning for U.S.-based chipmakers. China's top supercomputers, including the Sunway TaihuLight machine or the mighty Tianhe-2A are packed with native technologies, from chips to interconnects and its social media giants, including Alibaba and Baidu are already in production with their own devices for AI training and inference at massive scale. One of the China's hyperscalers, Tencent, has yet to roll out its own chips but it's worth noting they have invested mightily in Shanghai-based Enflame, which will soon be releasing its first-generation AI training devices, which have been in development since 2018. Over the last three years, Enflame has raised close to $500 million with Tencent leading the charge.