About a month ago, iRobot CEO Colin Angle mentioned something about sharing Roomba mapping data in an interview with Reuters. To understand how iRobot is going to make this happen, we spoke with Angle about keeping your data safe, integrating robots with the future smart home, and robots that can get you a beer. If we have something gathering data in their home, we're beyond the point where a company can exploit their customers by stealthily gathering data and selling it to other people. So, if you wanted to walk into a room and have the lights turn on and the heat come up, and if you started watching television and then left the room and wanted the television to turn off in the room you'd left and turn on in the room you'd gone to, all of those types of experiences where the home is seamlessly reacting to you require an understanding of rooms and what's in each room.
The HireVue app uses a mixture of video interviewing and artificial intelligence to make recruiting more efficient and match the right candidates with the right jobs. It compares word choice, facial movements, body language, and tone to help employers find the very best candidate. "Structured interviews are much better and subject to less bias than unstructured interviews," HireVue founder Mark Newman told Fast Company. There's no way to completely eliminate this natural bias since humans will still make the final hiring decisions, but it can lead to more open-mindedness in the final interview.
Over the last half century, the UK has benefited hugely from being part of the regulatory changes and innovations coming from Europe. That's what PSD2 and Open Banking are really leading up to – and in this future, there's no reason why the front end of people's financial lives couldn't come from Facebook or Google, while the backend belongs to a bank like Starling. However, a lot of the tools we're building to help people with their money are focused on machine learning and insights using big data. And therefore we have three key focuses for the next year: our current account and marketplace, our expansion, and also encouraging further industry disruption through Starling Payment Services.
I spoke with Tanmay Bakshi all about machine learning, how he got into developing software so early on, what he thinks about the Singularity and more in this interview outside the IBM Watson Summit in Sydney! Tanmay Bakshi is an IBM Champion, IBM Honorary Cloud Advisor, Algorithmist, machine learning and Watson developer, author, speaker and YouTuber! A very big thank you to the team at the IBM Watson Summit in Sydney for helping organise this interview and supporting Dev Diner in its goal of helping developers get into emerging tech! Dev Diner is a new hub for developers keen to keep up with emerging tech.
For a long time, I have talked about artificial intelligence as an enabling tool that should help to improve the customer experience. It's a technology that helps customer service advisors and retail associates do their job better, rather than a tool that removes the need for them to even be part of the customer relationship. Technology systems at present still focus on specific tasks. What do you think of the potential of AI in customer service?
It's a component that, in the case of speech, is focused strictly on the problem of trying to take your speech and recognize what words you've expressed in that speech, or take an image and try and identify what's in the image, or take language and attempt to understand what its meaning is, or take a conversation and participate in that. The probabilistic nature of these systems is founded on the fact that they are based on machine learning or deep learning, and those algorithms have to be taught how to recognize the patterns that represent meaning within a set of signals, which you do by providing data, data that represents examples of that situation that you've had before where you've been able to label that as saying, "When I hear that combination of sounds, it means this word. Then we go into what we call the standard of care practices, which are relatively well-defined techniques that doctors share on how they're going to treat different patients for different kinds of diseases, recognizing that those are really designed for the average person. We can take the best doctors at Memorial Sloan Kettering who had the benefit of seeing literally thousands of patients a year around the same disease from which they've developed this tremendous expertise, capture that in the cognitive system, bring that out to a community or regional clinic setting where those doctors may not have had as much time working with the same disease across a large number of different patients, giving them the opportunity to benefit from that expertise that's now been captured in the cognitive system.
It was a long conversation, but here is a 20-minute overview in which Systrom talks about the artificial intelligence Instagram has been developing to filter out toxic comments before you even see them. NT: These are the comments: "Succ," "Succ," "Succ me," "Succ," "Can you make Instagram have auto-scroll feature? And what we realized was there was this giant wave of machine learning and artificial intelligence--and Facebook had developed this thing that basically--it's called deep text NT: Which launches in June of 2016, so it's right there. And then you say, "Okay, machine, go and rate these comments for us based on the training set," and then we see how well it does and we tweak it over time, and now we're at a point where basically this machine learning can detect a bad comment or a mean comment with amazing accuracy--basically a 1 percent false positive rate.
From smart assistants like Alexa and Siri to the latest bleeding edge advancements in robotics, there's no buzzier buzzwords in the tech world than artificial intelligence. The topic of AI has been a primary focus for Intel's Brian Krzanich, as he works to expand the chipmaker's scope from PCs to the next generation of technology breakthroughs. Intel's Chief Executive will be joining us on stage at TechCrunch Disrupt San Francisco 2017 in September to discuss the company's recent massive investments in AI, from multibillion dollar acquisitions to the formation of the Artificial Intelligence Products Group, which reports directly to Krzanich. In a post on Policy@Intel, the company's public policy blog, Brian Krzanich wrote that he resigned from the American Manufacturing Council on Monday "to call attention to the serious harm our divided political climate is causing to critical issues, including the serious need to address the decline of American manufacturing."
Most recently, Ng led Baidu's Artificial Intelligence Group. We also covered his recommendations for companies that are nearer to the beginning of the journey of implementing artificial intelligence, the emergence of roles like the chief artificial intelligence officer, and the industries that are most likely to be impacted by AI, as well as his comparison between the business cultures in the United States and China, among a variety of other topics. Ng: In previous rises of new technologies, such as the rise of electricity about 100 years ago and the rise of the internet about 20 years ago, many organizations began by hiring one leader to sort out the new technology and figure out how to integrate it into their organization. I wrote an article several months ago titled "Hiring Your First Chief AI Officer" that offers specific recommendations.