- Artificial intelligence may be tech’s hottest sector, and Chinese internet giants and startups alike have been engaged in fierce competition to poach top talent from Google, Facebook, Microsoft and elite universities around the world.
- Few of these hires had the status of Andrew Ng, whom Baidu Inc. recruited in 2014 as its chief scientist to oversee AI research.
- One of the top brains in the field, Mr. Ng formerly led Google’s…
As ambitious as they are, China’s tech firms are behind the likes of Google, Facebook and Microsoft when it comes to artificial intelligence. With the resignation of Baidu chief scientist Andrew Ng, their ability to retain top foreign talent is in question.
Continue reading “China Is Losing to the U.S. in High-Stakes Battle for Artificial Intelligence Talent”
- But the transformational nature of artificial intelligence requires new metrics of success for our profession.
- This year alone at least 1 billion people will be touched in some way by artificial intelligence, which is transforming everything from financial services to transportation, energy, education and retail.
- And why IBM is a founding member of the Partnership on AI, a collaboration among Google, Amazon, Facebook, Microsoft, Apple and many scientific and nonprofit organizations charged with guiding the development of artificial intelligence to the benefit of society.
- Opportunity: Developers of AI applications should accept the responsibility of enabling students, workers and citizens to take advantage of every opportunity in the new economy powered by cognitive systems.
- They should help them acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.
By Guru Banavar, IBM’s Chief Science Officer for Cognitive Computing
I am a computer scientist and engineer, inspired by the art of the possible an…
Continue reading “The Science of AI and the Art of Social Responsibility”
- And while many of the tech giants working on AI like Google and Facebook have open sourced some of their algorithms, they hold back most of their data.In contrast, blockchains represent and even incent open data.
- For example: creating a decentralized Uber requires a relatively open dataset of riders and drivers available to coordinate the network.The network effects and economic incentives around these open systems and their data can be more powerful than current centralized companies because they are open standards that anyone can build on in the same way the protocols of the internet like TCP/IP, HTML, and SMTP have achieved far greater scale than any company that sits atop them.
- And oracle systems (a fancy way of saying getting people all over the world to report real world information to the blockchain in a way we can trust) like Augur will inject more data.This open data has the potential to commoditize the data silos most tech companies like Google, Facebook, Uber, LinkedIn, and Amazon are built on and extract rent from.
- AIs trained on open data are more likely to be neutral and trustworthy instead of biased by the interests of the corporation who created and trained them.Since blockchains allow us to explicitly program incentive structures, they may make the incentives of AI more transparent.Simplified, AI is driven by 3 things: tools, compute power, and training data.
- My guess is they shift to 1) creating blockchain protocols and their native tokens and 2) AIs that leverage the open, global data layer of the blockchain.
Sam Altman recently wrote that we are entering an era of hyperscale technology companies. These companies own massive troves of data with strong network effects around them and they are only getting…
Continue reading “Blockchains are a data buffet for AIs – Fred Ehrsam – Medium”
- On Wednesday, Facebook announced that it is ready to take a first and significant step in building a safer and more supportive Facebook community by significantly strengthening its own suicide prevention tools (Facebook has had suicide reporting and tools for a decade).
- Noting that live suicides had occurred on similar platforms before, Facebook is now testing a system that relies on pattern recognition based on posts previously reported for suicide risk.
- Now, when suicide-like behavior is detected, Facebook will provide the at-risk user with resources that range from the ability to contact a friend or helpline to a few potentially helpful tips for dealing with depression without halting their stream.
- However, Vanessa Callison-Burch, a Facebook product manager, told BBC that the social media company is hoping to avoid invading anyone’s privacy or tampering with personal dynamics between friends.
- While Facebook’s system is still new, it is reassuring to see that the social media company is dedicated to protecting its users from adding to this troubling statistic.
On Wednesday, Facebook announced that it is ready to take a first and significant step in building a safer and more supportive Facebook community by
Continue reading “Facebook uses Artificial Intelligence to help spot potentially suicidal users”
- That’s the gist of the advice to students interested in AI from Facebook’s Yann LeCun and Joaquin Quiñonero Candela who run the company’s Artificial Intelligence Lab and Applied Machine Learning group respectively.
- If differential equations represents the electricity that powers machine learning, statistics represents the gears of the machine itself — as the company touches on in a series of AI explainer videos we linked to at the bottom of this post.
- How else would a fledgling machine learning student learn to leverage neuroeconomics and cognitive bias to target ads?
- Amidst all the talk of News Feed bias, it’s important to remember that there is a human behind every application of machine learning.
- Most of these tips are self-explanatory: find a professor to work with, consider working with PhD students who have more time on their hands and try to secure an industry-focused internship regardless of your future aspirations to understand how AI works in the real world.
That’s the gist of the advice to students interested in AI from Facebook’s Yann LeCun and Joaquin Quiñonero Candela
who run the company’s Artificial Intelligence Lab and Applied Machine Learning group respectively.
Continue reading “Facebook’s advice to students interested in artificial intelligence – Besim on Data”
(Yicai Global) Feb. 16 — Chinese Internet giant Baidu Inc. [NASDAQ:BIDU] has taken another step in developing its artificial intelligence (AI) business by announcing that it will acquire Raven Tech Co, a Beijing-based AI startup.
Continue reading “Baidu Steps up Investment in Artificial Intelligence, Acquires Raven Tech”
- An AI can use Google Street View to help you decide where to move
- He plots 10,000 randomized points throughout a city, and grabs images taken by Google Street View.
- The idea of extracting information from Google Street View was inspired by MIT Media Lab’s StreetScore project, Keskkula writes, where machine learning was used to rank the safety of 3,000 streets in New York and Boston.
- Now one Estonia-based startup, Teleport , is using this idea, coupled with images from Google Street View, to automatically look around cities and see if people will like them based on their lifestyle preferences.
- Keskkula’s example focuses on motorcycles: He owns two and is interested in a city that welcomes them.
Machine learning is at its best when there’s way too much information for any human to comb through manually, like making high-volume stock trades or surfacing the best posts from hundreds of friends on Facebook. Now one Estonia-based startup, Teleport, is using this idea, coupled with images from Google Street View, to automatically look around cities and see if people will…
Continue reading “Artificial intelligence can look at Google Street View to help you decide where to move — Quartz”