AI & RoboticsNews

Tech Nation: U.S. companies raised 56% of global AI investment since 2015, followed by China and U.K.

March 17, 2020
A new report shines some light on the investments made into artificial intelligence (AI) between 2015 and 2019, revealing that the U.S. attracted more than half of all global AI investments during the five year period, followed by China and the U.K. The UK Tech For a Changing World report was produced by government-funded Tech Nation, and focuses largely on the British digital economy. However, it…
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AI & RoboticsNews

Quantum computing, AI, China, and synthetics highlighted in 2020 Tech Trends report

March 15, 2020
The world’s tech industry will be shaped by China, artificial intelligence, cancel culture, and a number of other trends, according to the Future Today Institute’s 2020 Tech Trends Report. Now in its 13th year, the document is put together by the Future Today Institute and director Amy Webb, who is also a professor at New York University’s Stern School of Business. The report attempts to…
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AI & RoboticsNews

The emergence of the professional AI risk manager

March 14, 2020
When the 1970s and 1980s were colored by banking crises, regulators from around the world banded together to set international standards on how to manage financial risk. Those standards, now known as the Basel standards, define a common framework and taxonomy on how risk…
AI & RoboticsNews

Google’s Neural Tangents library gives ‘unprecedented’ insights into AI models’ behavior

March 13, 2020
Google today made available Neural Tangents, an open source software library written in JAX, a system for high-performance machine learning research. It’s intended to help build AI models of variable width simultaneously, which Google says could allow “unprecedented” insight into the models’ behavior and “help … open the black box” of machine learning. As Google senior research…
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AI & RoboticsNews

Amazon’s AI predicts context from search queries

March 12, 2020
Amazon is using AI and machine learning to predict context from customers’ queries. In a preprint paper accepted to the ACM SIGIR Conference on Human Information Interaction and Retrieval scheduled to take place this month, Amazon researchers describe a system that predicts activities like “running” from queries like “Adidas men’s pants.” It could help to improve the quality of search…
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