Our partners at UK Atomic Energy Authority and Createc brought Spot to Sellafield Ltd to demonstrate how Spot can automate nuclear inspections, support decommissioning, and reduce risk for people in hazardous environments. Watch the full video: https://bit.ly/3ttOgcr
IBM launched new call center automation capabilities via its Watson Assistant platform, which leverages AI and natural language processing.
I wish I had some sort of different response to give than this, but this summary is totally clear-eyed about the coming Semantic Apocalypse.
Artistic corpocracy
It’s actually even worse (in a way aptly not noticed by the Google employee). Because as we discussed, in the future advanced versions of this sort of AI will be solely owned and developed by Big Tech due the scaling laws around how they’re trained and run. The immediate licensing of GPT-3 by Microsoft was an augury of this. Indeed, the rights to interact with these AIs will be some of the most valuable licenses on the planet in the next decade. Consumers, even academic AI researchers, will communicate with company-owned trillion-parameter AIs solely via oracles, getting nowhere near the source code. The future of this technology belongs to huge corporations with major resources. So it’s not really that “AI is automating art”—no, corporations are automating art. And writing. And translation. And illustration. And music. And the thousand other human forms of creativity that give life meaning. They are now the province of Big Tech.
US Secretary of Commerce Gina Raimondo has announced that the Commerce Department has established a high-level committee to advise the President and other federal agencies on a range of issues related to artificial intelligence (AI). Working with the National AI Initiative Office (NAIIO) in the White House Office of Science and Technology Policy (OSTP), the Department is now seeking to recruit top-level candidates to serve on the committee.
A formal notice describing the National Artificial Intelligence Advisory Committee (NAIAC) and the call for nominations for the committee and its Subcommittee on Artificial Intelligence and Law Enforcement appears in the Federal Register published today.
“AI presents an enormous opportunity to tackle the biggest issues of our time, strengthen our technological competitiveness, and be an engine for growth in nearly every sector of the economy,” said Secretary Raimondo. “But we must be thoughtful, creative, and wise in how we address the challenges that accompany these new technologies. That includes, but is not limited to, ensuring that President Biden’s comprehensive commitment to advancing equity and racial justice extends to our development and use of AI technology. This committee will help the federal government to do that by providing insights into a full range of issues raised by AI.”
Isaac Newton’s groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science.
A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown. By combining new supercomputing materials with specialized oxides, the researchers successfully demonstrated the backbone of networks of circuits and devices that mirror the connectivity of neurons and synapses in biologically based neural networks.
The simulations are described in the Proceedings of the National Academy of Sciences (PNAS).
Probably funny, til it takes your job.
Artificial intelligence is getting better at penning code but still a long way from working alone.
One of the U.S. Defense Department’s two prototype robot warships just fired its first missile.
The military on Friday hailed the test-launch of an SM-6 missile from the Unmanned Surface Vessel Ranger, sailing off the California coast, as “game-changing.”
It’s one thing for an unmanned vessel to launch a missile, however. It’s quite another for the same vessel autonomously to find and fix targets.
The objective of the Hebrew University of Jerusalem research is to create a deep-learning artificial infrastructure that will act like a human brain.
Circa 2020
IBM knows how to adapt to an ever-changing enterprise tech landscape. The venerable company more almost 20 years ago shed its PC business – selling it to Lenovo – understanding that that systems were quickly becoming commodity devices and the market was going to stumble. A decade later IBM sold its X86-based server business to Lenovo for $2.3 billion and in the intervening years has put a keen focus on hybrid clouds and artificial intelligence, buying Red Hat for $34 billion and continuing to invest its Watson portfolio.
However, that hasn’t meant throwing out product lines simply because they’ve been around for a while. IBM has continued to upgrade its mainframe systems to keep up with modern workloads and the bet has paid off. In the last quarter 2,019 the company saw mainframe revenue – driven by its System z15 mainframe in September 2019 – jump 63 percent, a number followed the next quarter by a 59 percent increase.
Tape storage is a similar story. The company rolled out its first tape storage device in 1,952 the 726 Tape Unit, which had a capacity of 2MB. Five decades later, the company is still innovating its tape storage technology and this week said that, as part of a 15-year partnership with Fujifilm, has set a record with a prototype system of 317 gigabits-per-square-inch (GB/in2) in areal density, 27 times more than the areal density of current top-performance tape drives. The record, reached with the help of a new tape material called Strontium Ferrite (SrFe), is an indication that magnetic tape fits nicely in a data storage world of flash, SSDs and NVMe and a rising demand for cloud-based storage.
