SONAL SHAH: It's also about how do we make data more useful for people to use and to solve problems in their communities? TANYA OTT: Okay, that is a big job. Who is this superhuman who fills it? TANYA OTT: We'll tell you, in a moment. But first, let me say, you're listening to the Press Room, where we talk about some of the biggest issues facing businesses today. I'm Tanya Ott and joining me today are Bill Eggers … I am the executive director and a professor of practice at Georgetown University's Beeck Center. TANYA OTT: Bill and Sonal are coauthors of The CDO Playbook – a guide for Chief Data Officers. For the last decade, government has been focused on making data more open and easily [accessible] to the public.
QuantX recently became the first-ever computer-aided breast cancer diagnosis system cleared by the FDA for use in radiology, but it's not putting radiologists out of a job any time soon. "Radiology is the backbone of diagnosing many diseases today," said Jeffrey Aronin, chairman and CEO of Paragon Biosciences. "We believe the future is radiologists with technology." The combination of humans and machines apparently works really well. In a clinical study, QuantX helped radiologists interpret MRIs, noting the differences between cancerous and noncancerous breast lesions.
Elon Musk doesn't think his newest endeavor, revealed Tuesday night after two years of relative secrecy, will end all human suffering. At a presentation at the California Academy of Sciences, hastily announced via Twitter and beginning a half hour late, Musk presented the first product from his company Neuralink. It's a tiny computer chip attached to ultrafine, electrode-studded wires, stitched into living brains by a clever robot. And depending on which part of the two-hour presentation you caught, it's either a state-of-the-art tool for understanding the brain, a clinical advance for people with neurological disorders, or the next step in human evolution. The chip is custom-built to receive and process the electrical action potentials--"spikes"--that signal activity in the interconnected neurons that make up the brain.
Some Uber drivers in New York City want to see a decrease in the commission taken by the company. SAN FRANCISCO -- Gig economy workers are increasingly ubiquitous, shuttling us to appointments and delivering our food while working for Uber, Lyft, DoorDash and others. Thanks in large part to the app-based tech boom emanating from this city, 36% of U.S. workers participate in the gig economy, according to Gallup. But not all gigs are created equal, Gallup adds, noting that so-called "contingent gig workers" experience their workplace "like regular employees do, just without the benefits of a traditional job -- benefits, pay and security." California lawmakers are weighing what is considered a pro-worker bill that, if passed into law, would set a national precedent that fundamentally redefines the relationship between worker and boss by forcing corporations to pay up.
Elon Musk's secretive "brain-machine interface" startup, Neuralink, stepped out of the shadows on Tuesday evening, revealing its progress in creating a wireless implantable device that can – theoretically – read your mind. At an event at the California Academy of Sciences in San Francisco, Musk touted the startup's achievements since he founded it in 2017 with the goal of staving off what he considers to be an "existential threat": artificial intelligence (AI) surpassing human intelligence. Two years later, Neuralink claims to have achieved major advances toward Musk's goal of having human and machine intelligence work in "symbiosis". Neurolink says it has designed very small "threads" – smaller than a human hair – that can be injected into the brain to detect the activity of neurons. It also says it has developed a robot to insert those threads in the brain, under the direction of a neurosurgeon.
Summary: Despite our concerns about China taking the lead in AI, our own government efforts mostly through DARPA continue powerful leadership and funding to maintain our lead. Here's their plan to maintain that lead over the next decade. Think all those great ideas that have powered AI/ML for the last 10 years came from Silicon Valley and a few universities? Hard as it may be to admit it's the seed money in the billions that our government has spent that got pretty much all of these breakthroughs to the doorway of commercial acceptability. Dozens of articles bemoan the huge investments that China is making in AI with the threat that they will pull ahead.
Elon Musk, the futurist billionaire behind SpaceX and Tesla, outlined his plans to connect humans' brains directly to computers on Tuesday night, describing a campaign to create "symbiosis with artificial intelligence." He said the first prototype could be implanted in a person by the end of next year. Arriving at that goal "will take a long time," Musk said in a presentation at the California Academy of Sciences in San Francisco, noting that securing federal approval for implanted neural devices is difficult. But testing on animals is already underway, and "a monkey has been able to control the computer with his brain," he said. Musk founded Neuralink Corp. in July 2016 to create "ultra-high bandwidth brain-machine interfaces to connect humans and computers."
Fifty years is a long time by human standards, and an eon by technology standards. In 1969, not many organizations even knew what a computer was, let alone used one. Though it's trivial, revisiting and comparing the compute power of then to what we have now can help us realize the effort it took to realize the achievement that the moon landing was. The scale of our compute and storage capabilities has changed dramatically as Moore's law has been in full effect. Like many "laws," Moore's law is more like a rule of thumb, stating that the number of transistors in dense integrated circuit doubles about every two years.
The Department of Veterans Affairs announced July 10 the appointment of Gil Alterovitz, PhD, as its first director of artificial intelligence, a position that will be based in the VA's Office of Research and Development. He has already launched a "sprint" to find partner organizations to apply AI technology to the VA's data. More articles about AI: 6 hospital applications for machine learning: algorithms to predict patient violence, HIV risk & more Viewpoint: The AI revolution will leave us'struggling to understand' Michigan Medicine, Atomwise launch research collaboration for AI-driven drug discovery
BOULDER, COLORADO - As the United States races to put humans back on the moon for the first time in nearly 50 years, a NASA-funded lab in Colorado aims to send robots there to deploy telescopes that will look far into our galaxy, remotely operated by orbiting astronauts. The radio telescopes, to be planted on the far side of the moon, are among a plethora of projects under way by the U.S. space agency, private companies and other nations that will transform the moonscape in the coming decade. "This is not your grandfather's Apollo program that we're looking at," said Jack Burns, director of the Network for Exploration and Space Science at the University of Colorado, which is working on the telescope project. "This is really a very different kind of program and very importantly it's going to involve machines and humans working together," Burns said in an interview at his lab on the Boulder campus. Sometime in the coming decade, Burns' team will send a rover aboard a lunar lander spacecraft to the far side of the moon.