Amazon Announces New York and Virginia as HQ2 Picks

  1. Amazon Announces New York and Virginia as HQ2 Picks  New York Times
  2. Amazon picks New York City, Washington DC area for new offices  Yahoo Finance
  3. Amazon’s HQ2 Brings Celebrations, Concerns  U.S. News & World Report
  4. Amazon Picks New York City, Northern Virginia for Its HQ2 Locations  Wall Street Journal (blog)
  5. Amazon Announces It Will Split New Headquarters Between NYC, Virginia  NBC New York
  6. Full coverage


Source: Google News

Gboard goes official with GIF, emoji, and sticker AI suggestions, picks up 37 new languages

  1. Gboard goes official with GIF, emoji, and sticker AI suggestions, picks up 37 new languages  Android Police
  2. Google’s Gboard uses AI to help you pick the best GIF  VentureBeat
  3. Gboard using on-device AI to suggest relevant GIFs, stickers, & emoji as you type  9to5Google
  4. Full coverage


Source: Google News -Technology

Dodgers vs. Red Sox odds: 2018 World Series Game 1 picks, predictions from expert on 23-8 run

  1. Dodgers vs. Red Sox odds: 2018 World Series Game 1 picks, predictions from expert on 23-8 run  CBSSports.com
  2. World Series 2018: FREE LIVESTREAM Game 1: How to watch online | Los Angeles Dodgers vs. Boston Red Sox  NJ.com
  3. World Series: Dodgers manager Dave Roberts returns to Boston as a hero  USA TODAY
  4. Full coverage


Source: Google News

Thursday Night Football odds: Vikings vs. Rams picks from proven expert who went 33-6 on Minnesota, LA games

  1. Thursday Night Football odds: Vikings vs. Rams picks from proven expert who went 33-6 on Minnesota, LA games  CBSSports.com
  2. The nearly half-billion-dollar Vikings-Rams game  ESPN (blog)
  3. NFL Picks 2018: 5 Best Bets Against The Spread For Week 4 Include Cowboys, Jaguars, Titans  International Business Times
  4. Los Angeles Rams Vs. Minnesota Vikings: Week 4 Thursday Night Football TV Schedule, Odds And Picks  Forbes
  5. Full coverage


Source: Google News

New robot picks a peck of peppers and more

SWEEPER is designed to operate in a single stem row cropping system, with non-clustered fruits and little leaf occlusion. The team spearheaded efforts to improve the robot’s ability to detect ripe produce using computer vision, and has played a role in defining the specifications of the robot’s hardware and software interfaces, focusing on supervisory control activities.
Source: Science Daily