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Semiconductors & Electronics

AI chip startup NeuReality introduces its NR1-P object-oriented hardware architecture


The AI chip space is booming, with innovation coming from a slew of startups in addition to the usual suspects. You may never have heard of NeuReality before, but it seems likely you'll be hearing more about it after today. NeuReality is a startup founded in Israel in 2019. Today it has announced NR1-P, which it dubs a novel AI-centric inference platform. That's a bold claim for a previously unknown, and a very short time to arrive there -- even if it is the first of more implementations to follow.

The perfect summertime wireless speaker is now 20 percent off


After spending so much time cooped up, most of us are ready to stay outside as much as possible this summer. With the weather warming up, we're already seeing visions of long beach days, camping weekends, park picnics and just about anything else that involves the great outdoors. On our list of necessities to make said activities a success, we count a great wireless speaker, like this stylish device that's currently on sale for 20 percent off. The LSTN Satellite 2.0 Wireless Speaker is small but mighty: It's just 3.5 inches tall and delivers crisp, clear sound for an impressive eight hours of battery life. That excellent audio quality comes courtesy of the 40mm 5W driver that provides a frequency range of 20Hz to 20kHz.

Podcast 12: Real world tech: Edge AI drives car-making, healthcare and retail - VanillaPlus - The global voice of Telecoms IT


Artificial intelligence (AI) at the edge is changing healthcare, retail and Audi cars, as Intel's IoT Group vice president, John Healy tells Jeremy Cowan and George Malim. Plus we learn how chipmakers globally are tackling supply problems that have halted vehicle production. The semiconductor industry is facing an "awakening", says Healy, as it shape-shifts to meet "insatiable demand" for silicone. Finally, we hear which African country is a leader in satellite cartography, and how Amazon is playing games with its warehouse staff. Hi, and welcome to the latest Trending Tech Podcast brought to you by The Evolving Enterprise, IoT Now, and This is Jeremy Cowan, and I want to thank you for joining the latest, sometimes serious, sometimes light-hearted look at enterprise digital transformation. I am delighted to welcome today two guests, who are John Healy, from California-based international technology company, Intel, known among other things, for the processors that power so many of our devices. John is vice president of the IoT Group. John, thank you very much for making the time to be here. Good to have you on again, George. Okay, today, we'll be looking at some key tech news stories that deserve a bit of a deeper dive.

Samsung launches new robot vacuum cleaner with upgraded AI solutions


This photo provided by Samsung Electronics Co. on Tuesday, shows the company's BESPOKE JetBot AI vacuum cleaner. Samsung Electronics Co. on Tuesday launched a new robot vacuum cleaner with upgraded artificial intelligence (AI) solutions here as the tech giant eyes to boost home appliance sales amid the pandemic-driven stay-at-home trend. The BESPOKE JetBot AI vacuum cleaner comes in five colors at a price of 1.59 million won ($1,430). The product, which was first unveiled at the all-digital Consumer Electronics Show (CES) 2021, is equipped with Intel's Movidius AI solution and utilizes LiDAR and 3-D sensors to avoid objects, while cleaning hard-to-reach areas. Samsung said the vacuum cleaner has active stereo camera-type sensors that can detect any object over 1-centimeter high at up to 1 meter of distance.

Sony patents an AI to assist in games like a good player two


Many of us are guilty of giving up on a game because of a long grind or seemingly insurmountable challenge, but Sony's latest patent shows the company wants to change that. Some masochists enjoy the pain of being repeatedly beaten in games like Dark Souls – it's understandable, overcoming those challenges is a great feeling – but most of us have a breaking point where the power button gets hit and the game just ends up collecting dust on a shelf. A patent spotted by SegmentNext details an AI which learns from the human player and can continue when they're not playing: "The method includes monitoring a plurality of game plays of the user playing a plurality of gaming applications," the patent explains. "The method includes generating a user gameplay profile of the user by adjusting the default gameplay style based on the plurality of game plays, wherein the user gameplay profile includes a user gameplay style customized to the user. The method includes controlling an instance of a first gaming application based on the user gameplay style of the user gameplay profile."

Are Mega Investments in AI Chip Startups Justified? - EE Times India


A staggering amount of money is pouring into data center AI chip companies at the moment. Data center AI chip companies are raising eye-watering amounts of money. In the last week, we've seen Groq announce a $300 million Series C round of funding, and SambaNova raise a staggering $676 million Series D. SambaNova is now valued at somewhere above $5 billion. They are not the only ones in this sector raising these huge amounts of money. Fellow data center AI chip companies Graphcore (raised $710 million, valued at $2.77 billion) and Cerebras (raised more than $475 million, valued at $2.4 billion) are hot on their heels as the sector continues to gain momentum.

Deep Learning Market Trend and Future Forecast Till 2027 – Clark County Blog


This has brought along several changes in This report also covers the impact of COVID-19 on the global market. The Deep Learning Market analysis summary by Reports Insights is a thorough study of the current trends leading to this vertical trend in various regions. In addition, this study emphasizes thorough competition analysis on market prospects, especially growth strategies that market experts claim. Deep Learning Market competition by top manufacturers as follow: Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Inc., Koniku The global Deep Learning market has been segmented on the basis of technology, product type, application, distribution channel, end-user, and industry vertical, along with the geography, delivering valuable insights. To get this report at a profitable rate.:

Global Artificial Intelligence (AI) Market (2020) to Witness Huge Growth by 2026


The Global Artificial Intelligence (AI) Market report includes overview of the company profiles of leading market players and in detail analysis of the competitive landscape, along with this, the report also proposes accurate insights which is refer to the different segments of the global Artificial Intelligence (AI) market. This accurate insight is of revenue, market share, product specifications, capacity, production, shipments as well as equipment suppliers or buyers, industry investors. A detailed assessment of the marketing, product development strategies and pricing is also encompassed in the global Artificial Intelligence (AI) market. The Artificial Intelligence (AI) market report also involves recent partnerships, mergers, research and development and collaborations of key players of the Artificial Intelligence (AI) market. The Global Artificial Intelligence (AI) Market report wraps all dynamic limitations along with market growth factors, its drivers, trends, opportunities, restrains and challenges.

NVIDIA Crushes Latest Artificial Intelligence Benchmarking Tests


In its third round of submissions, MLCommons released results for MLPerf Inference v1.0. MLPerf is a set of standard AI inference benchmarking tests using seven different applications. These seven tests include a range of workloads that include computer vision, medical imaging, recommender systems, speech recognition, and natural language processing. MLPerf benchmarking measures how fast a trained neural network can process data for each application and its form factor. The results allow unbiased comparison between systems.