An artificial intelligence developed by British firm DeepMind has achieved'Grandmaster' status in the real-time, sci-fi strategy game'StarCraft II'. StarCraft II is one of the world's most lucrative and popular esports, in which players control different alien races to build up forces and defeat their opponents. With each battle coming with thousands of possible moves at any given moment, the video game presents a challenge that surpasses traditional tests like chess or Go. The AI -- dubbed'AlphaStar' -- proved its mettle in a series of online battles against human opponents, coming out above 99.8 per cent of players in the rankings. This makes AlphaStar the first ever AI to reach the top tier of human performance in a professionally-played esport, without needing simplifying the game first.

It can take years of birdwatching experience to tell one species from the next.

Gary Marcus is well known as a deep learning critic. A neuroscientist, entrepreneur, and the author of "Rebooting AI: Building Artificial Intelligence We Can Trust," Marcus believes that researchers need to move past deep learning in order to make true advances in machine intelligence. Marcus and Azeem Azhar discuss why, how, and when we can expect progress. HBR Presents is a network of podcasts curated by HBR editors, bringing you the best business ideas from the leading minds in management. The views and opinions expressed are solely those of the authors and do not necessarily reflect the official policy or position of Harvard Business Review or its affiliates.

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BSC will provide its emerging technologies and HPC infrastructure for conducting the activities of this project. The Barcelona Supercomputing Center (BSC) will investigate the use of Generative Artificial Intelligence for generating and augmenting synthetic datasets for remote sensing applications in space domain. BSC together with its Italian partners AIKO S.r.l and the National Research Council - Institute of Atmospheric Sciences and Climate are the members of the consortium of the DeepLIM project, funded by the European Space Agency (ESA) The Computer Architecture and Operating System (CAOS) group is in charge of this project at BSC and will provide the centre's emerging technologies and HPC infrastructure including POWER9 processors and NVIDIA V100 GPUs for conducting the activities of this project. Training deep learning models, due to the nature of the problem, is very computation-intensive. As a consequence, deep learning workloads have been shown to be an excellent fit for accelerators such as GPUs included in the MareNostrum P9 Cluster of Emerging Technologies.

Cognex has announced the acquisition of SUALAB, a Korean Provider of Deep Learning Machine Vision Solutions.

Montreal has become something of a magnet for AI. Ian Goodfellow, the research scientist who pioneered generative adversarial networks (GANs) got his PhD in machine learning at the Université de Montréal, rising AI star Hugo Larochelle now leads Google Brain in Montreal, and last year the city hosted NeurIPS. At the center of the Montreal AI scene is Dr. Yoshua Bengio, a Université de Montréal Professor and Head of the Montreal Institute for Learning Algorithms (MILA). Bengio was honored as a 2018 ACM Turing Award Laureate, sharing the "Nobel Prize of Computing" with two other essential AI figures -- Dr. Geoffrey Hinton from Google and Dr. Yann LeCun from Facebook. Last week hundreds of academics and industry professionals filled a downtown Montreal hotel for the RE·WORK Deep Learning Summit, where Bengio gave a talk on Deep Learning and Cognition.

Artificial Intelligence is the hottest and most promising development in the tech landscape for a couple of years, now. According to market firm Tractica, global AI revenues will see a massive growth from just USD 643.7 million in 2016 to an excess of USD 36.8 billion in 2025. Nearly all the market segments, industries, and business domains are actively interested in AI and are looking to harness the technology for business benefits. AI offers companies the power to reduce costs and make the shopping experience much more delightful and efficient for the end consumers. According to Global Market Insights, investments in AI by retail segment will exceed USD 8 billion by 2024.

In March 2016, Lee Sedol, the greatest Go player of the past decade, was defeated 4–1 by AlphaGo. Computers have beaten the best humans at chess before, but Go is at another next level at complexity. Do you know what's even crazier? The machine had only been learning how to play for the past 8 hours before the match. This January 2019, the Google DeepMind team took AlphaGo to another level, making AlphaStar.

Players of the science-fiction video game StarCraft II faced an unusual opponent this summer. An artificial intelligence (AI) known as AlphaStar -- which was built by Google's AI firm DeepMind -- achieved a grandmaster rating after it was unleashed on the game's European servers, placing within the top 0.15% of the region's 90,000 players. The result, published on 30 October in Nature1, shows that an AI can compete at the highest levels of StarCraft II, a massively popular online strategy game in which players compete in real time as one of three factions -- the human Terran forces or the aliens Protoss and Zerg -- battling against each other in a futuristic warzone. DeepMind, which previously built world-leading AIs that play chess and Go, targeted StarCraft II as its next benchmark in the quest for a general AI -- a machine capable of learning or understanding any task that humans can -- because of the game's strategic complexity and rapid pace. "I did not expect AI to essentially be superhuman in this domain so quickly, maybe not for another couple of years," says Jon Dodge, an AI researcher at Oregon State University in Corvallis.