Elon Musk said startup Neuralink, which aims to build a scalable implant to connect human brains with computers, has already implanted chips in rats and plans to test its brain-machine interface in humans within two years, with a long-term goal of people "merging with AI." Brain-machine interfaces have been around for awhile. Some of the earliest success with the technology include Brown University's BrainGate, which first enabled a paralyzed person to control a computer cursor in 2006. Since then a variety of research groups and companies, including the University of Pittsburgh Medical Center and DARPA-backed Synchron, have been working on similar devices. There are two basic approaches: You can do it invasively, creating an interface with an implant that directly touches the brain, or you can do it non-invasively, usually by electrodes placed near the skin. Neuralink, says Musk, is going to go the invasive route.
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."
Intelligent, learning, autonomous machines are about to change the way we do business forever. But in a world where corporations or even executives may be liable in a civil or even criminal court for their decisions, who is responsible for decisions made by artificial intelligence (AI)? In the United States, courts are already having to wrestle with this science fiction scenario after an Arizona woman was killed by an experimental autonomous Uber vehicle. The European Commission recently shared ethical guidelines, requiring AI to be transparent, have human oversight and be subject to privacy and data protection rules. This sounds really good, but how will any of this be applied in practical situations?
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.