It has been developed and tested with Theano/GPU support, but it can easily work with CPU-only support. Any comment or suggestion is welcome!

Most presidential campaigns spend their time and money appealing to people who vote regularly in elections. According to a Trump campaign memo obtained by FiveThirtyEight, the campaign pursued a highly unorthodox strategy of courting unlikely voters during the primaries, focusing on people who rarely participate in GOP primary elections. The campaign relied on free media, including Trump's frequent TV appearances, to turn out regular voters, according to the memo. But survey and voter data shows that Trump won the Republican nomination thanks in large part to Republicans who typically vote in general elections, not by bringing people entirely disconnected from the electoral process to the polls. As Trump heads into the general election, the campaign's thinking during the primaries, and the ad-hoc process by which it built an operation to target and reach out to voters using data, may offer clues about how it will approach voter turnout in the fall.

Inside a secretive AI nonprofit backed by Elon Musk and other Silicon Valley figures, a handful of robots designed to help out in warehouses are gradually learning how to do useful household chores. OpenAI, which was created to do basic AI research, is reprogramming robots developed by Fetch Robotics, a company that supplies warehouse automation hardware. Researchers at OpenAI are equipping the robots with software that lets them train themselves through trial and error. The effort reflects a bet that innovations in software and machine learning, rather than breakthroughs in hardware, are the way to give robotics remarkable new capabilities. Fetch makes a range of robots for warehouses, including systems that follow workers around a building, carrying items dropped into a basket.

Elon Musk is develop artificial intelligence which will enable robots that can do housework, have conversations and play games. OpenAI's mission is to build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible. OpenAI will measure intelligence using a metric which consists of a variety of OpenAI Gym environments with a unified action and observation space (so a single agent can run across all of them), including games, robotics, and language-based tasks. Their implementation will evolve over time, and they'll keep the community updated along the way They are working to enable a physical robot (off-the-shelf; not manufactured by OpenAI) to perform basic housework. There are existing techniques for specific tasks, but we believe that learning algorithms can eventually be made reliable enough to create a general-purpose robot.

OpenAI, a nonprofit created by Elon Musk and other tech entrepreneurs to make fundamental breakthroughs in artificial intelligence, has said that one of its big goals will be teaching robots to do the laundry and other household chores. OpenAI doesn't want to make robot hardware itself but, rather, to supply the brains for off-the-shelf bots. You might think that learning to fold underpants is a modest goal, but such dexterity and adaptability is one of the grand challenges of robotics. It also fits with the organization's stated objective to "advance digital intelligence in the way that is most likely to benefit humanity as a whole." Applying the sort of machine-learning techniques OpenAI is working on to robotics should, in fact, have huge practical benefits, and it will be a necessary component of any more general form of artificial intelligence.

Elon Musk has built cars and rockets. OpenAI - the artificial-intelligence research nonprofit cochaired by Tesla Motors CEO Musk and Y Combinator President Sam Altman - wants to build a robot for your home. Building a robot, OpenAI's leadership explains in a blog entry on Monday, is a good way to test and refine a machine's ability to learn how to perform common tasks. By "build," the company means taking a current off-the-shelf robot and customizing it to do housework. "More generally, robotics is a good test bed for many challenges in AI," reads the blog entry.

Google has released a paper on AI safety in collaboration with researchers from Stanford University, University of California, Berkeley and OpenAI.

Musk's warnings should be heeded. OpenAI is his less dramatic way of confronting this threat. By making everything "open," humanity has a greater opportunity to control the growth and direction of AI. But NPQ readers might want to ask if anyone other than tech leaders should be making these decisions. Silicon Valley is at the center of innovation, but ethics and many other concerns are forced to the forefront with the advent of AI. Should there be government or United Nations oversight?

There's been much talk about how artificial intelligence will benefit society, but what about the potential impacts that AI has when the system is poorly designed and creates problems? This is a question several researchers and OpenAI, a non-profit artificial intelligence research company, tackled in a recent paper. The paper was written by researchers from Google Brain, Stanford University and the University of California, Berkeley, as well as John Schulman, research scientist at OpenAI. It's titled Concrete Problems in AI Safety, and it looks at research problems around ensuring that modern machine learning systems operate as intended. Researchers have started to focus on safety research in the machine learning community, including a recent paper from DeepMind and the Future of Humanity Institute that looked at how to make sure that human interventions during the learning process would not induce a bias toward undesirable behaviors in machine learning robots. But, according to a blog post by OpenAI, many machine learning researchers are wondering just how much safety research can be done today.

Google Research cooperated with OpenAI, Stanford University, and the University of California to publish a research paper highlighting the five main problems with machine learning systems that can lead to accidents. The problems, although minor now, can escalate to concerning levels during artificial intelligence development and operation.