BetterDoctor, an online site that helps health care networks keep track of data on providers, is being acquired by Quest Analytics (no, not the people you go to for your blood work — that’s Quest
Why it matters: While much is made over the role of AI and machine learning in cutting costs for healthcare, those techniques are only effective if the underlying data is good. The deal brings together two companies that work behind the scenes to help health care systems keep accurate information on doctors in their networks.
IBM’s Project Debater made its public debut in San Francisco Monday afternoon, where it squared off against Noa Ovadia, the 2016 Israeli debate champion and in a second debate, Dan Zafrir, a nationally renowned debater in Israel. The AI is the latest grand challenge from IBM, which previously created Deep Blue, technology that beat chess champion Garry Kasparov and Watson,
which bested humans on the game show Jeopardy.
In its first public outing, Project Debater turned out to be a formidable opponent, scanning the hundreds of millions of newspaper and journal articles in its memory to quickly synthesise an argument on a topic and position it was assigned on the spot. The skinny, black rectangular screen stands about five and a half feet tall, putting it around the same height as a human opponent. “Project Debater could be the ultimate fact-based sounding board without the bias that often comes from humans,” said Arvind Krishna, director of IBM Research.
A survey by Accenture found that only 2% of car executives “plan to significantly increase investment” in reskilling programmes, even though most acknowledge that workers require new skill sets to work with robotics, cloud computing and artificial intelligence.
The study turns on its head the idea that workers are resistant to new technology out of fear that their jobs will be replaced. Instead, two-thirds of employee respondents said “intelligent technologies will make
their jobs simpler” and “encourage creativity and innovation”.
Researchers on Microsoft’s Bing team have developed a novel way of generating high-quality data for training machine learning models. In a blogpost and paper published ahead of the Computer Vision and Pattern Recognition Conference (CVPR) in Salt Lake City, they describe a system that can discriminate between accurately labeled data and poorly labeled data with impressive consistency.
The Bing team’s method employs an AI model that can correct for errors in real time. During training, one part of the system — the class embedding vector — learns to select images best representing each of the categories automatically. Meanwhile, another part of the model — the query embedding vector — learns to embed example images into the same vector. As training progresses, the system is designed in such a way so that the class embedding vector and the query image vector
become increasingly similar to one another if the image is a member of the category, or further apart if it isn’t.
Gideon Brothers, a startup with offices in Zagreb and Osijek, has won the Founders Factory AI Rising Star Award in London, a competition featuring 150 companies involved in the field of AI. Matija Kopić, the head of Gideon Brothers, presented in London “The Brain”, a system which uses artificial intelligence technology to turn manual machines into autonomous robots.
“We currently have a large number of machines which require someone to manage them – and these are people who simply do not exist in large enough numbers,” said Kopić. “For far too long, the logistics sector and other industries are struggling to hire enough people to be able to continue their growth. Now, they will no longer have to do that. Robots will not replace people – they will only expand what we are able to achieve,” he added.
There’s a great deal of activity in the fields of speech recognition and the “Internet of Things,” but one natural application of the two has gone relatively unpursued: helping the deaf and hard of hearing take part in everyday conversations. SpeakSee aims to do this (after crowdfunding, naturally) with a clever hardware design that minimises setup friction and lets everyone communicate naturally.
SpeakSee is simple to use: A set of clip-on microphones live in a little charger case, and when the user wants to have a conversation, they hand those microphones out to whoever will be talking. The case acts as a wireless hub for the mics and relays the audio to the smartphone with which it’s paired. This audio is sent off, transcribed quickly somewhere in the cloud, and displayed on the deaf user’s phone.
DigiFi, an enterprise SaaS company building the next generation of decision automation technology, has launched its AI-powered decision automation platform. The technology enables business users to easily create automated processes that gather data, execute rules, send communications and leverage machine learning. The company is addressing the growing demand for process automation and artificial intelligence with an innovative platform built for non-technical users and accessible by businesses of all sizes.
“Decision automation introduces opportunities for companies to utilise artificial intelligence, access better data, reduce operating costs and improve customer experiences,” said Brad Vanderstarren, President of DigiFi. “We make it easy by empowering business users to create, test and deploy decision processes through one simple platform.”