“We need to make sure that there is a strong framework that carries the legitimate consent of the people but that can allow and encourage innovation and can be flexible and move fast too,” Hancock said.
Tabitha UntilTheBotsTakeOver Goldstaub
Stay tuned for more updates about CogX. It was unbelievable!
Facebook opened up the Messenger platform to developers last year, and since then more than 100,000 unique bots have been created. You can’t help but notice the recent surge of social good among them—whether it’s a bot helping new activists find local protests, connecting refugees with translators in real time, coaching women through salary negotiations, and even encouraging talks about mental health. A lot of inspiration to go around!
“We don’t want one or two companies, which I will not name, to be the only big players in town for AI,” Yoshua Bengio says.
That’s why Bengio has recently chosen to sign on with Microsoft. His bet is that the former kingdom of Windows alone has the capability to establish itself as AI’s third giant. It’s a company that has the resources, the data, the talent, and—most critically—the vision and culture to not only realise the spoils of the science, but also push the field forward. Check out Jessi Hempel’s whirlwind tour of Microsoft’s AI innovations and how they are moving forward, thanks to Bengio.
In February, CogX Award-winning Numerai announced Numeraire, a cryptographic token to incentivize data scientists around the world to contribute artificial intelligence to their data-driven hedge fund. Yesterday, the Numeraire smart contract was deployed to Ethereum, and over 1.2 million tokens were sent to 19,000 data scientists around the world.
Now, data scientists can withdraw Numeraire tokens to any Ethereum address, and interact with the smart contract. Data scientists can also use Numeraire to earn more money by staking it on their predictions. If their predictions perform well, they earn more money. If their predictions perform badly, their Numeraire is destroyed on the blockchain.
The authors of a new research paper say that the brain’s ability to perform “approximate probabilistic inference” cannot be truly studied with simple tasks that are “ill-suited to expose the inferential computations that make the brain special.”
“Our brains have a much better model of the world; We can learn more from less data. Neuroscience theories suggest ways to translate experiments into smarter algorithms that could lead to a greater understanding of general intelligence,” said Xaq Pitkow, an assistant professor in the neuroscience department and co-director of the Center for Neuroscience and Artificial Intelligence at Baylor University.
The company’s president, Tim Kendall, told Business Insider at the company’s Cannes pavilion opposite the Carlton Hotel, when discussing Pinterest Lens and the visual search technology behind the product: “We think it’s how discovery is going to increasingly be driven on the phone. We think it’s going to be image-driven.”
Kendall talked about how a theoretical furniture retailer might have to run ads tied to thousands of generic terms like “classic living room” to identify its products in the hope that they help people find the retailer in a web search. But Pinterest’s machine-learning tech can automatically pull thousands of signals from images that can be used to deliver more relevant ads with far less labor, he said. “I think this is the way that ads are going to be served,” he said. “We are going to invest more in this. I think keywords are going to go away.”
While much of the conversation around AI and jobs is focused on widespread job losses in sectors like trucking, venture capitalist and Sun Microsystems cofounder Vinod Khosla thinks that there’s a high-paying job on the chopping block: oncology.
“I can’t imagine why a human oncologist would add value, given the amount of data in oncology,” he said during a panel conversation hosted by MIT in San Francisco today. “They can’t possibly comprehend all of the things that are possible.”
Across professional fields, a whole multitude of conversations—meetings, interviews, and conference calls—need to be transcribed and recorded for future reference. Thankfully, in the last year there has been tremendous progress toward automatic speech recognition (ASR), which allows for rapid and accurate transcription.
Two companies—Trint, a start-up in London,and Baidu, the Chinese internet giant with an application called SwiftScribe—have begun to offer browser-based tools that can convert recordings of up to an hour into text with a word-error rate of 5 percent or less. “We don’t claim that this turnaround in a couple of minutes of an interview like this is perfect,” says Jeff Kofman, Trint’s CEO. “But, with good audio, it can be close to perfect. You can search it, you can hear it, you [can] find the errors, and you know within seconds what was actually said.”
Mayfield Robotics’ Kuri is like an expressive bowling pin that will steal your heart and hopes to become a key element of your family’s home life, and its latest updates make it better at capturing cherished memories, at recognizing fuzzy friends, and at getting around.
The Kuri team has provided some updates on its progress in developing the robot, including news that its visual intelligence system can now identify and recognize pets, including dogs and cats. This is in addition to its ability to recognize human family members, which was previously announced. That means it can understand when it’s looking at a pet, and that information can have different consequences than if it were seeing a human, for instance.