Google's DeepMind has conquered some big artificial intelligence challenges in its day, such as defeating Go's world champion and navigating mazes through virtual sight. However, one of its accomplishments is decidedly unusual: it learned how to play soccer (aka football) with a digital ant. It looks cute, but it's really a profound test of DeepMind's asynchronous, reinforcement-based learning process. The AI has to not only learn how to move the ant without any prior understanding of its mechanics, but to kick the ball into a goal. Imagine if you had to learn how to run while playing your first-ever match -- that's how complex this is.

The Debut Jobs App L'oreal, Ernst and Young, Microsoft, and Deutsche Bank have all signed up to support a smartphone app called Debut, which promises to let young people fast-track the recruitment process and land roles in big companies just by playing mobile games. Users download the game, they play, and they win(or are recognized) based on characteristics that employers are looking for, which will then connect them to fast-track interviews or international internships. You can visit the game here. DeepMind's AI Labyrinth Google's AI company, DeepMind, which was founded by Demis Hassabis, created a virtual world called Labyrinth. It's part of its Apollo program and it's designed to put software into a generalized world to see what it can learn while it's there.

Google also informed that why it took initiative to have a research center in Europe because world's top technical universities reside in Europe. Google is taking this opportunity to build up their own team for the betterment of future AI creations. Google Germany, the research center for artificial intelligence in a nonprofit and base home to 450 scientists, academics and other researchers who work mostly on language technology, embedded intelligence, augmented reality, knowledge management and multimedia analysis, and data mining. Google recently bought a UK based startup named DeepMind with 500 million USD. Google later invested Oxford Universities AI research team in the startup project.

DeepMind, Google's artificial intelligence (AI) division, certainly thinks there's a risk. They've teamed up with Oxford University to develop a "red button" that would interrupt an AI machine's actions. Their paper "explores a way to make sure a learning agent will not learn to prevent (or seek!) being interrupted by the environment or a human operator."

Hi everyone, I was inspired by OpenAI's "Requests for Research" project list that was released a few days ago. In particular, I'm trying to tackle Project #2 on their list, Im2Latex. Unfortunately I'm a newbie when it comes to Machine Learning, and I've only completed one online book so far. I'm asking for some tutorials or online resources that could help me learn about some of the following: sequence to sequence models, attention, and in-depth OCR among other things. If you know of any such tutorials please post them here to help steer me in the right direction.

DeepMind was established in London by Demis Hassabis, Shane Legg and Mustafa Suleyman in 2011. Major venture capital firms Horizons Ventures and Founders Fund have invested in the company, as well as entrepreneurs Scott Banister and Elon Musk. Jaan Tallinn was an early investor and an advisor to the company. In 2014, DeepMind received the "Company of the Year" award by Cambridge Computer Laboratory. Also on 26 January 2014 Google announced that it had agreed to take over DeepMind Technologies.

Tech giants are making acquisitions in the AI space, and an increasing number of startups are working with the technology. Speaking at The Europas, a European startup conference held in London today, John Henderson, principal at Whitestar Capital, spoke about the overwhelming competition in the space and noted the need for young tech firms to stand out from the crowd. "When it comes to investing in AI startups what we look for and what is hard to find is defensibility," he said. DeepMind – acquired by Google in 2014 – Henderson argued was "a one-off". "It [DeepMind] was acquired for the research talent. Startups out there need to think about AI as an enabling technology or a platform, as opposed to every startup building their own AI technology," added Henderson.

Inspired by the biblical concept of the seven days of creation, our group sought to create a dystopian science-fiction retelling that put a spotlight on the possibility of AI evolving and eventually supplementing the role of God. Based on the assumption that artificial intelligence would learn at an exponential rate, we wanted to make sure that the actions taken by Deepmind would progressively escalate day after day. The fundamental distinction however was that Deepmind would not share the same sense of human empathy- something that led to its destructive actions in the later days. Overall, we let the readings discussed in class form the individual plot points of the specific days (automation, love & robots, fully automated luxury communism) whilst still taking certain creative freedoms. Additionally, a key point is that the seven days of creation may not be literal 24-hour days but a figurative expression which we then incorporated into our timeframe of events within our version of AI's seven days of existence.

Google's DeepMind Health is a project that utilizes artificial intelligence to learn from data and make the healthcare process efficient. Included in the agreement are plans for developing hospital support systems such as bed and demand management software, financial control products, and private messaging and task management for junior doctors. Another key area in the partnership is real-time health prediction: the use of health care data to identify the risk of patient deterioration, death, and/or readmission. The agreement intends to "maximize the benefit of bringing together two parties who are centers of excellence in their respective fields, including improvements in clinical outcomes, patient safety, patient and staff experience, as well as cost reductions."

Android N notifications are getting a new look to help provide a better user experience. They now have a fresh look, improved for custom views, and expanded functionality in the forms of Direct Reply. The default look and feel of notifications has changed, and now the fields around the notifications have been collapsed into a new header row with the app's icon and name anchoring the notification, according to Android developer advocate Ian Lake on the Android Developers Blog. This makes the title, text and large icon have a lot of space, and now the notifications are slightly larger and easier to read. Notification actions have also received a redesign and are now in a visually separate bar below the notification, according to the blog.