The article was written by Amber Zhou, a Financial Analyst at I Know First. Deep learning has become a buzzward in recent years. In fact, it has once gained much attention and excitements under the name neural networks early back in 1980's. However due to the lack of sufficient compute power and training examples, it gradually experienced a depression in the following decade. As we are entering the Era of Big Data in light of the explosion of computer power, deep learning has recently seen a revival.

On Monday, non-profit AI research company OpenAI published a blog post about OpenAI Five, a group of five neural networks designed to work as a team while playing the real-time computer strategy game called Dota 2. According to the post, OpenAI Five can now beat a team of five human amateur players at the game, albeit with specific restrictions placed on gameplay. In August, it will attempt to beat a team of professional Dota 2 players at The International (TI), an annual Dota 2 tournament hosted by the game's developer, Valve Corporation.

On Monday, non-profit AI research company OpenAI published a blog post about OpenAI Five, a group of five neural networks designed to work as a team while playing the real-time computer strategy game called Dota 2. According to the post, OpenAI Five can now beat a team of five human amateur players at the game, albeit with specific restrictions placed on gameplay. In August, it will attempt to beat a team of professional Dota 2 players at The International (TI), an annual Dota 2 tournament hosted by the game's developer, Valve Corporation.

The team focused on a capture the flag mode, one in which the map changes from match to match. Its AI agents had to learn general strategies to be able to adapt to each new map, something humans do easily. The agents also needed to both cooperate with team members as well as compete against the opposite team, and be able to adjust to different enemy play styles. "Our agents must learn from scratch how to see, act, cooperate, and compete in unseen environments, all from a single reinforcement signal per match: whether their team won or not," wrote the researchers in a blog post. They trained a population of AI-powered agents that learn by playing the game, much like we do.

A class imbalance during training will have a larger impact on rare phenomena (e.g.

It's clear by now that the robots are coming for us. Breakthroughs in AI fill our streams and news feeds, themselves the products of AI, the echoing algorithmic screams of a new kind of mind being born. The fundamental building blocks of AI have never been more accessible. Let's explore the architecture of these new minds, which are growing to mediate our every interaction.

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If you believe the CEOs, a fully autonomous car could be only months away. In 2015, Elon Musk predicted a fully autonomous Tesla by 2018; so did Google. Delphi and MobileEye's Level 4 system is currently slated for 2019, the same year Nutonomy plans to deploy thousands of driverless taxis on the streets of Singapore. GM will put a fully autonomous car into production in 2019, with no steering wheel or ability for drivers to intervene. There's real money behind these predictions, bets made on the assumption that the software will be able to catch up to the hype.

Demis Hassabis, chief executive of UK-based tech company DeepMind, has been picked to advise the government's newly created Office for Artificial Intelligence. Hassabis (pictured above), who co-founded the Google-owned AI specialist, will "provide expert industry guidance" to the recently formed government body. The Office for AI was created as part of the Industrial Strategy unveiled by the government in November 2017, and has responsibility for delivering the initiatives set out in the £1bn AI Sector Deal published in April. "I'm honoured to be taking on the role of Adviser to the Office for AI, and look forward to the huge opportunity that lies ahead," Hassabis said. "I've always believed that AI could be one of the most important and widely beneficial breakthroughs of the 21st century – and as a proud Londoner, it's fantastic to see the UK's world-class universities and start-ups already making major scientific advances. Alongside the research, I'm very excited about the role the UK can play in making the case globally for AI's safe and ethical deployment."