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'Dota 2' pro destroyed by AI player from an Elon Musk start-up

Mashable

Elon Musk, noted artificial intelligence worrywart, backs the tech firm behind a robot brain that was smart enough to take down a Dota 2 pro this week. The goal is to eventually assemble a full team of AI bots for 5v5 matches and, further down the road, to mix AI players in with human players on a single team. As you weigh all of this, remember again: Elon Musk, AI fearmonger extraordinaire, is an OpenAI founder. Teaching a robot brain to play battle-oriented strategy games... what could go wrong?


AI, Robotics, And The Future Of Precision Agriculture

#artificialintelligence

Smart money VCs like Bessemer Venture Partners, Accel Partners, Khosla Ventures, Lux Capital, and Data Collective have invested in general-purpose drone and computer vision companies with a focus on agricultural applications, like DJI and Orbital Insight, as well as ag tech startups like Blue River Technology. Orbital Insight has raised $78.7M in totally funding, including a $50M Series C round in Q1'17 backed by investors including Lux Capital, Sequoia Capital, and Google Ventures. In-field monitoring: This category includes drone manufactures with a focus on agriculture, as well as startups working on computer vision algorithms to process the data captured by drones and other on-field cameras. The National Science Foundation grantee is backed by smart money VCs Data Collective and Khosla Ventures.


Artificial intelligence without the hype - UnHerd

#artificialintelligence

A prime example is the field of artificial intelligence or AI. "there are a whole lot of very bad articles on AI (news articles and public interest articles) being published in newspapers and magazines. Step-by-step, Togelius explains how it is that journalists buy-in to their own hype, aided and abetted by AI researchers who "always have something to sell". There's a reason why researchers and developers specialize in applications of AI to specific domains, such as robotics, games or translation: when building a system to solve a problem, lots of knowledge about the actual problem ('domain knowledge') is included in the system."