Tech leaders continue to top the headlines with weekly AI announcements in an attempt to beat out their competitors. This week Microsoft promoted its AI research team growth and Google released its Cloud Job Discovery service to a private beta. Read the full update below:

1. One year later, Microsoft AI and Research grows to 8k people in massive bet on artificial intelligence

Microsoft continues to invest heavily in the future of AI. One year after opening its dedicated AI research group, the team has grown by 60%. Competition is fierce among the biggest names in tech, and Microsoft is telling its competitors that it’s not going anywhere.

2. There’s a shortage of AI engineers in the US — and it’s hurting tech companies like Amazon and Alphabet

Even the Goliath’s are struggling to find talent to meet the demand of new AI technologies.* Building research facilities in international locations near education and startup hubs is how many industry leaders are preparing to meet the current and future demand.

*Digital Nebula strives to fill this gap with our in-house talent to take the burden off of clients.

3. Google’s jobs AI service hits private beta, now works in 100 languages

Speaking of jobs, Google is stepping onto the scene with its Cloud Job Discovery service. Despite the plethora of job sites in the market, no solution seems to provide a surefire solution. Google’s service plans to set itself part by translating jargon on job listings to make it easier for applicants to identify the best roles for their skills.

4. Three Ways AI Can Improve Your Business Right Now

Supply chain, recommendation engines and opinion mining are three major opportunities for AI. Even Coke is using AI to mine the opinions of its consumers to design new drinks like their new Cherry Sprite.

5. New Theory Cracks Open the Black Box of Deep Learning

Computer Scientist Naftali Tishby shares his theory that deep neural networks learn according to a procedure called the “information bottleneck,” when a network rids noisy input data of extraneous details as if by squeezing the information through a bottleneck. Why it matters: Tishby’s research explains the puzzling success of today’s artificial-intelligence algorithms and provides a framework for constructing new networks.

 

Categories: This Week In AI

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Jessica Cox

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