News in artificial intelligence and machine learning

Revue
 
From 13th thru 29th Feb. Referred by a friend? Sign up here. Want to share? Give it a tweet. 
Revue
February 29 - Issue #8

Nathan Benaich

An analytical digest of artificial intelligence and machine learning news from the technology industry, research lab and venture capital market.

From 13th thru 29th Feb. Referred by a friend? Sign up here. Want to share? Give it a tweet

Technology news, trends and opinions
  • DeepMind made the news by launching their Health division along with two early-stage projects, Streams and Hark. The former focuses on acute kidney injury, which progresses within 7 days, has multifactorial causes but is preventable in 25% of cases. The Streams app sends test results and physiological readings to physicians while on the go. Hark, on the other hand, is a clinical task manager app. Early evidence suggests that users find it more effective, efficient and less distracting than incumbent pagers. 
  • At MWC last week, Mark Zuckerberg vouched for the proliferation of VR and the work of FB’s Connectivity Lab applying computer vision on DigitalGlobe high-res satellite imagery to inform their strategy in delivering internet connectivity to the unplugged world. Of note, the team trained deep CNNs typically used on FB photos on 8k binary labeled (does/doesn’t contain a building) satellite images from one country to analyse 21.6M square kilometers from 20 countries. This is an intriguing example of FB/GOOG/AMZN etc. encroaching on territory previously addressed by startups (e.g. Orbital Insight). 
  • Why vertical combined with domain expertise and unique data acquisition strategies beat horizontal approaches for enterprise products underpinned by machine learning. 
  • The XPRIZE organisation and IBM Watson will offer a $5m prize to the best demonstration of human-machine collaboration with cognitive computing by 2020. 
  • The Allen AI Science Challenge finished their 4-month long competition on Kaggle to solve 8th grade multiple choice exam, which tested the natural language understanding abilities of user generated models. The winning score (1478 entries from 302 players) came in at 59.3%. Random guessing would score 25%. 
  • On the topic of machine learning competitions, Numerai uses homomorphic encryption on financial data to create a tournament where data scientists build models to address stock market efficiency. 
  • Here’s a nice summary piece in Nature on the enabling macro trends driving the proliferation of AI with infographics to match. 
  • Following the proliferation of ‘neural art’ created by Google’s DeepDream project and others, the company is running a two-day event in SF with the Gray Area Foundation for the Arts to explore the intersection of AI and art
Research, development and resources
Venture capital financings and exits
$77m worth of deal making, including:

Anything else catch your eye? Just hit reply! I’m actively looking for entrepreneurs building companies that build/use AI to rethink the way we live and work. 
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Carefully curated by Nathan Benaich with Revue.
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