Belong: Google for people. Former USA CTO on roboapocalypse. Introducing TensorFlow Light. http://cognitionx.com/news-briefing/.
If you can’t beat ’em, join ’em. That’s what Miranda Katz argues in her Wired article from yesterday. She argues that with advances in AI, the knowledge worker is faced with a choice: ‘Set aside your ego and embrace your new AI coworker, or get left behind’.
We’re not living in the golden age of AI, but we are living in the golden age of AI-enhanced productivity.
To read more about our relationship with AI, we’d recommend reading former US Chief Technology Officer Megan Smith‘s recent remarks on how the people creating AI are far too homogenous, making sure we instill the correct values in AI, and more.
Belong, a Bengaluru-based startup, is creating a “Google for people,” as co-founder Rishabh Kaul describes it.
The three-year-old recruitment firm is part of a new crop of companies using technology to simplify hiring processes, from sorting resumés to scheduling interviews. Belong, however, goes well beyond all that. It scours the internet to unearth publicly available information on any and all possible candidates, including scanning their Twitter accounts, Facebook pages, LinkedIn profiles, and more. “Earlier, a resume was just like a balance sheet—what you declare about yourself at a given point of time,” explained Kaul. “Now, you have a rich stream of constant data.”
Would you turn on your webcam so that a customer service robot can get to know you better? Soul Machines, a New Zealand startup, thinks so. It builds a customer service bot with an amazingly human face and a simulated nervous system that interprets how customers feel and reacts accordingly—in part by watching them over a webcam.
Design software maker Autodesk will be the first big client to try out the technology next year—what Soul Machines calls a “digital human”—with a remake of its AVA customer service bot. AVA, says founder Mark Sagar, can read cues in people’s expressions, such as a smile or a furrowed brow, to get a sense of a customer’s disposition. Are they happy and open for pleasant chat, or impatient and wanting to get to the point? Or are they just freaked out by a robot staring at them, reading their expressions and possibly classifying their emotions?
This week, Google announced the developer preview of TensorFlow Lite, TensorFlow’s lightweight solution for mobile and embedded devices. TensorFlow has always run on many platforms, from racks of servers to tiny IoT devices, but as the adoption of machine learning models has grown exponentially over the last few years, so has the need to deploy them on mobile and embedded devices. TensorFlow Lite enables low-latency inference of on-device machine learning models.
More and more mobile devices today incorporate purpose-built custom hardware to process ML workloads more efficiently. TensorFlow Lite supports the Android Neural Networks API to take advantage of these new accelerators as they come available.
Bots are gaining lots of attention, thanks to the momentum in artificial intelligence and natural language processing. In fact, according to this Business Insider study, 80 percent of businesses are using, or intend to use, chatbots by 2020.
Christi Olson (Bing) says that marketers must be sure to explore their processes, customer patterns, and expectations in detail to get a realistic view of where a bot can make an impact. These are the 3 questions that need to be asked:
Supermarkets are set to trial facial recognition software to replace age checks under a pilot run by a British identity app. The technology will be used to remove in-person age checks when customers are buying alcohol and other age-restricted items at a self-service till.
The checkouts will confirm the user’s age by using a smartphone app called Yoti, which scans the shopper’s face to confirm their identity. Yoti was founded by Robin Tombs and Noel Hayden, two entrepreneurs who started the online gambling company Gamesys before selling it to Intertain for £426m. They have put £23m of their own money into Yoti, and now have around 180 staff working on the app.
A group of researchers, including Andrew Ng, have developed an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists. Their model, CheXNet, is a 121-layer convolutional neural network that inputs a chest X-ray image and outputs the probability of pneumonia along with a heatmap localising the areas of the image most indicative of pneumonia. Check out the paper here.
They found that the model exceeds the average radiologist performance at the pneumonia detection task on both sensitivity and specificity. With automation at the level of experts, they hope that this technology can improve healthcare delivery and increase access to medical imaging expertise in parts of the world where access to skilled radiologists is limited.
When it comes to gaming competition with friends, most of us grew up playing games like Pokémon, battling with friends through Game Boys and old link cables, and mostly using our imagination when the gameplay animation was still pretty basic. Fast-forward a few decades, and you can still battle friends, but the modes have expanded incredibly. The latest form is a gaming robot from Reach Robotics. Called MekaMon, the four-legged robots have AR capabilities that can be controlled by your smartphone.
The robots are upgradable and customisable with detachable legs, shields, and weapons. They feature four IR sensors, so the robot can measure distance and location and also accurately track and attack opponents. The robot can also flip on its back and stabilise rather quickly. Each robot weighs around 2.2 pounds, with a dimension of 11.8 x 11.8 x 5.9 inches. The toy connects to the smartphone app through Bluetooth, and other robots via infrared signals. The battery life is a bit limited, though: you’ll only get about one hour of play before it needs to be recharged.
SK Telecom, Hyundai Motor Company, Hanwha Asset Management, and Element AI will create a joint fund to invest in startups with innovative technology, the companies said.
Called the AI Alliance Fund, South Korea’s largest mobile carrier and the country’s biggest car maker, along with Hanwha, will put in $45 million to invest in startups working in AI, smart mobility, and fintech in Europe, Israel, and the US. Element AI, an AI solutions provider founded by AI authority professor Yoshua Bengio of Montreal University, will be the fund’s AI advisor. It will leverage the research group’s expertise and global network to find promising startups.