A number of startups have emerged from the shadows to try to fix the impending workforce headache. Venture capitalists (VCs) have taken note, plowing millions of dollars into myriad recruitment-focused startups. One such startup is Fetcher, which relaunched this week with a brand new name after rolling out last year under the name Scout.
Fetcher searches for qualified personnel through all the usual professional networks, such as LinkedIn, Twitter, GitHub, and so on, establishing the best way of contacting them. The platform correlates keywords and skills to determine likely skill sets that might not be listed specifically on candidates’ online profile. One example Fetcher provided VentureBeat: A software engineer who is knowledgeable in CSS is more than likely to be
proficient in HTML and front-end development, too, even if they don’t specifically mention that.
Back in the 1980’s a laboratory of misfits foresaw our future. Touch screens, automated driving instructions, wearable technology and electronic ink were all developed at the Massachusetts Institute of Technology in a place they call the Media Lab. It’s a research lab and graduate school program that long ago outgrew its name. Today it’s creating technologies to grow food in the desert, control our dreams and connect the human brain to the internet. Come have a look at what CBS News found in a place you could call– the Future Factory.
Ideas are the currency of MIT’s Media Lab. The lab is a six-story tower of Babel where 230 graduate students speak dialects of art, engineering, biology, physics and coding, all translated into innovation. Hugh Herr (professor who leads an advanced prosthetics lab) said, “The Media Lab is this glorious mixture, this renaissance, where we break down these formal disciplines and we mix it all up and we see what pops out. That’s the magic, that intellectual diversity.”
The army and University of Minnesota have developed materials that mimic the flexibility of invertebrates like worms and squids and could one day be 3D-printed on the battlefield.
Current military robots can’t move freely in highly populated environments because they’re made with rigid mechanical parts.However, that situation may change now that researchers have recently created a prototype of soft 3D-printed dielectric elastomer actuator — an electroactive polymer that changes shape when hit with an electrical charge.
One of the poorest-kept secrets in Silicon Valley has been the huge salaries and bonuses that experts in artificial intelligence can command. Now, a little-noticed tax filing by a research lab called OpenAI has made some of those eye-popping figures public.OpenAI paid its top researcher, Ilya Sutskever, more than $1.9 million in 2016. It paid another leading researcher, Ian Goodfellow, more than $800,000 — even though he was not hired until March of that year. Both were recruited from Google.
A third big name in the field, the roboticist Pieter Abbeel, made $425,000, though he did not join until June 2016, after taking a leave from his job as a professor at the University of California, Berkeley. Those figures all include signing bonuses.
“If you have the local bookstore that has built their website on GoDaddy, that local bookstore needs to compete with Amazon,” GoDaddy director of engineering Jason Ansel told VentureBeat in an interview. “And Amazon’s using a lot of machine learning. Amazon is a machine learning powerhouse. [So] basically, how can we use our machine learning expertise at GoDaddy to help that little bookstore compete in an increasingly machine learning-dominated world?”
The first project in that vein is a system the company claims can value internet domain names better than a human can. It uses new advancements in artificial neural networks to achieve superhuman results, with the goal of creating a valuation metric for domain names that works much as Zillow’s Zestimate works for homes.
This in-depth Bloomberg article is all about how Peter Thiel’s data-mining company is using War on Terror tools to track American citizens. Among other things, it discusses how these things can go wrong.
High above the Hudson River in downtown Jersey City, a former U.S. Secret Service agent named Peter Cavicchia III ran special ops for JPMorgan Chase & Co. His insider threat group—most large financial institutions have one—used computer algorithms to monitor the bank’s employees, ostensibly to protect against perfidious traders and other miscreants…Over time, however, Cavicchia himself went rogue. Former JPMorgan colleagues describe the environment as Wall Street meets Apocalypse Now, with Cavicchia as Colonel Kurtz, ensconced upriver in his office suite eight floors above the rest of the bank’s security team.
Scientists teamed up to use AI to discover new alternatives to steel in record time. As a result, they discovered three new blends to form metallic glass and did this 200 times faster than it has ever been done before.
The team used SLAC’s Stanford Synchrotron Radiation Lightsource (SSRL) to discover three new blends of
ingredients to form metallic glass via the use of a machine learning system. The findings are reported in Science Advances. Professor Chris Wolverton from Northwestern University and author of the paper says, ‘It typically takes a decade or two to get a material from discovery to commercial use.’