Robo-recruiters. Swarm intelligence predicted TIME’s person of the year. DeepMind plays chess like a boss. http://cognitionx.com/news-briefing/.
To address the problem of the vast scale of computing, the UK government is giving AI startups access to serious computation power. Digital Catapult has announced Machine Intelligence Garage, a programme that helps businesses access the computation power and expertise they need to develop and build machine learning and AI solutions.
“Access to computation power is amongst the significant barriers to innovation around machine learning and AI,” said Dame Wendy Hall in a statement.
You can apply here: open calls go live every six weeks from December 2017 and the first cohort starts on the 23 January 2018.
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“There’s been a dramatic increase in the use of automation in [high] volume selection processes over the past two years,” says Sophie Meaney, managing director, client solutions and strategic development at Amberjack, which provides and advises on automated recruitment processes.
The problem, experts say, is that to find the best candidates an algorithm has first to be told what “good” looks like in any given organisation. Even if it is not fed criteria that seem discriminatory, an efficient machine-learning system will quickly be able to replicate the characteristics of existing workers. If an organisation has favoured white male graduates from prestigious universities, the algorithm will learn to select more of the same.
For the second year in a row, Unanimous AI‘s artificial swarm intelligence has predicted TIME’s Person of the Year. With a 100 percent success rate, swarm AI proves that it’s capable of taking in human insight in real-time for an optimised choice.
As Unanimous AI founder and CEO Louis Rosenberg previously explained to Futurism, a swarm AI works by combining real-time human input with algorithms to produce what he calls an “emergent hive mind.” This tends to be smarter than your regular AI and an individual human. UNU’s record of successes, which includes predicting President Trump as TIME’s Person of
the Year in 2016, can attest to that. (Observers might see some irony here, as last year’s winner is arguably the person who started a larger conversation around sexual harassment.)
Onalytica analysed over 631K posts related to #WomenInTech from 1st January – 20th November 2017 and found the most frequently mentioned topics by the top women in tech influencers were: Artificial Intelligence, FinTech, Blockchain, BigData, IoT, EdTech, MarTech, InsurTech, Virtual Reality, Cyber Security. They decided to delve into these topics further to uncover the top influencers in each area.
Britain’s largest motor insurer Direct Line is offering Tesla Inc drivers in Britain a 5-percent discount for switching on the car’s autopilot system, seeking to encourage use of a system it hopes will cut down on accidents.
“At present the driver is firmly in charge so it’s just like insuring other cars, but it does offer Direct Line a great opportunity to learn and prepare for the future,” said Dan Freedman, Head of Motor Development at Direct Line. Direct Line sells insurance policies to customers introduced to it by Tesla. Tesla then provides information on the features and capabilities of its vehicles to help Direct Line set insurance prices.
The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades. In contrast, the AlphaGo Zero program recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play.
In this paper, DeepMind researchers generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case.
IBM intends to sell the chips to third-party manufacturers and to cloud vendors including Google. Meanwhile, it’s releasing a new computer powered by the Power9 chip, the AC922 and it intends to offer the chips in a service on the IBM cloud.
“Power9 is a chip which has a new systems
architecture that is optimised for accelerators used in machine learning. Intel makes Xeon CPUs and Nervana accelerators and NVIDIA makes Tesla accelerators. IBM’s Power9 is literally the Swiss Army knife of ML acceleration as it supports an astronomical amount of IO and bandwidth, 10X of anything that’s out there today,” Patrick Moorhead, principal analyst at Moor Insights & Strategy, said.
“Reporting, listening, and analytics have always been pillars of the Sprout platform and the addition of Simply Measured expands and deepens those solutions for our customers,” Howard said in a statement. “The current market is filled with poorly integrated solutions that are overpriced and difficult to use but we’re going to take a different approach.”
In this article, Davia Temin, Bruce Molloy, and Jayanth Kolla provide a playbook for the top-of-the-house on how to better understand the potential of AI to transform your business, and how to plot its implementation in a powerful, strategic, and winning way.
They discuss disruptive edge AI, what the board and C-Suite must consider (e.g. they must take a deep dive into best practices in their industry), the AI inflection point, and more. Check it out here.