If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Tokyo (SCCIJ) – Switzerland is building the world's most powerful supercomputer focused on artificial intelligence. The "Alps" system is designed for researchers and will come online 2023 as scheduled despite the COVID-19 pandemic. The Swiss National Supercomputing Center (CSCS) is partnering with Hewlett Packard and Nvidia to combine classic supercomputing and AI technologies for superior performance. Switzerland's new supercomputer increases the speed of data processing for AI applications significantly ( CSCS). The new data center will replace CSCS's existing Piz Daint supercomputer and serve as a general-purpose system open to the broad community of researchers in Switzerland and the rest of the world.
A technology reaches a tipping point when it hits three milestones: First, it becomes technically feasible to accomplish important tasks with it. Second, it becomes cheap enough to use for those tasks. And third, critically, it becomes sufficiently easy for non-experts to build products with it. Passing those milestones is a great indicator that a technology is poised to spread like wildfire. At this year's Embedded Vision Summit (coming up online May 25-28), we're seeing clear evidence that embedded vision has reached this point.
The Postal Service is rolling out artificial intelligence tools across 195 of its processing centers to give the agency greater visibility into the terabytes of data it already captures from incoming packages each day. USPS uses the algorithms to categorize packages and to troubleshoot anomalies with packages in its delivery network. AI algorithms can also cut the time to locate missing packages down from several days to a few hours. Todd Schimmel, USPS's manager of letter mail technology, oversaw the agency's partnership with NVIDIA to stand up its Edge Computing Infrastructure Program (ECIP). Each of the four edge servers that are part of the program handles 20 terabytes of package images.
The US Postal Service runs a massive operation, processing 129 billion pieces of mail a year, including 7.3 billion packages. So when a package gets lost, there's a lot of sorting involved in finding it. What is AI? Everything you need to know about Artificial Intelligence With a new, Nvidia-powered AI program, the USPS has built a way to dramatically reduce the time it takes to find lost packages, down from several days to just two hours. Package sorting is just the beginning -- the USPS now has ideas for dozens of applications it could power with its new edge AI deployment, spanning everything from mail sorting to marketing. "There are not many enterprise-wide AI/ML projects that have been deployed at this scale across the whole enterprise, especially not in the case of government," Anthony Robbins, VP of Nvidia's federal government business, told reporters this week.
Artificial intelligence (AI) is in everything from voice-enabled smart speakers to smartwatches to computers, and even our cars. But while AI has gone mainstream, not all artificial intelligence companies are benefiting equally. Investors looking for the top AI stocks to buy right now should consider NVIDIA (NASDAQ:NVDA), Amazon (NASDAQ:AMZN), and Microsoft (NASDAQ:MSFT). You might know NVIDIA as a leading graphics processing unit (GPU) company that has benefited immensely from the gaming market. The company is indeed a gaming GPU powerhouse, with revenue from its gaming GPU segment spiking 67% in the most recent quarter, accounting for 50% of the company's top line in the quarter.
Artificial Intelligence (AI), Cloud, 5G, and IoT are continuously advancing innovation that extends across business development all the way down to the consumer level. Critical innovations are emerging from the escalation of new technologies, including hybrid workforces, remote healthcare delivery, hyper-personalization, and zero-touch. These use cases are generating myriad benefits for both organizations and consumers, and inspiring new levels of efficiency, productivity, and engagement. We're currently witnessing a dynamic surge in technological advancement that has spawned the era of ubiquitous digital transformation, but these new technologies still need room to grow. Ronald van Loon is working in partnership with NVIDIA, and recently had the opportunity to discuss the technology trends and drivers shaping the post-pandemic future, and assess the role the Arm acquisition by NVIDIA is positioned to play in this development.
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.
Let me start with a few keywords that should grab the attention of any potential investor: artificial intelligence (AI), deep learning, augmented reality, and accelerated computing. With technology advancements in these areas, computers are learning to write their own software, images are clearer, and the medical world is moving like the Millennium Falcon with Han Solo at the helm. When we take a look at how these areas are shaping our world, there's one name that is consistently at or near the top: NVIDIA (NASDAQ:NVDA). As a leader in innovative tech, from its GPUs that power gaming, enterprise graphics, and datacenters, to Jetson-like autonomous vehicles, the company has a hand in most things AI-related. But, did you know that NVIDIA's AI advancements also play an enormous part in the evolving healthcare industry?
Last September, Nvidia, the American manufacturer of graphics processing chips, and the Japanese company SoftBank announced an agreement under which Nvidia would acquire the British chip designer Arm from SoftBank for $40bn. Since SoftBank had acquired Arm in 2016 for $32bn, you could say that a 25% profit on a five-year investment isn't to be sneezed at, especially if industry mutterings about SoftBank's crackpot investment strategy and Arm's internal difficulties with its China-based operation are to be believed. But even if one were foolish enough to sympathise with SoftBank's desire to climb out of the hole it had dug for itself, the idea that Arm should be sold to a US chip manufacturer is so daft that even Boris Johnson's administration had begun to smell a rat. And so on Monday it announced that the secretary of state for digital, culture, media and sport was "intervening in the sale on national security grounds", based on advice received "from officials across the investment security community". To which decision the only possible response is: what took him so long?