Decentralized Machine Learning (CURRENCY:DML) traded 4.6% lower against the U.S. dollar during the 24 hour period ending at 15:00 PM Eastern on January 5th. One Decentralized Machine Learning token can now be purchased for approximately $0.0030 or 0.00000085 BTC on exchanges including DDEX and IDEX. Over the last seven days, Decentralized Machine Learning has traded [?]
What's the difference between the best tennis players in the world and those striving to reach the top five, or even the coveted number one ranking? The ability to execute the perfect forehand or deliver an ace at a crucial moment isn't merely about having the best skills. It's about making the best decisions at...
Biased training datasets and homogeneous workforces are contributing factors to AI bias, but the far bigger driving force is the lack of economic incentive to minimize bias in the technologies that increasingly power our lives.
Decentralized Machine Learning (CURRENCY:DML) traded down 4.2% against the U.S. dollar during the 24-hour period ending at 22:00 PM Eastern on January 20th. Decentralized Machine Learning has a market cap of $191,382.00 and approximately $10,206.00 worth of Decentralized Machine Learning was traded on exchanges in the last 24 hours. One Decentralized Machine Learning token can [?]
Warner Bros. Studios recently hosted 30 middle school girls from STEAM:CODERS, a nonprofit that works with schools and communities in low-income areas. We tagged along for a day of workshops on machine learning, robotics, game engines, and one big surprise.
Decentralized Machine Learning (CURRENCY:DML) traded up 0.6% against the dollar during the 1 day period ending at 9:00 AM ET on December 27th. Decentralized Machine Learning has a market capitalization of $200,585.00 and approximately $2,106.00 worth of Decentralized Machine Learning was traded on exchanges in the last day. One Decentralized Machine Learning token can now [?]
Robots have taken their place inside eCommerce and other commerce-related warehouses, and will in the coming years take even larger roles in fulfillment, according to estimates. Hot on their trail are machine learning and artificial intelligence (AI) technology ? the software and algorithms promising to reduce the risks of overstocking and understocking, and providing other benefits [?]