The man has built vehicles and rockets. Up next is domestic robots. Elon Musk, the CEO of Tesla Motors and SpaceX, has initiated the startup OpenAI which will build robots meant to function inside the home environment. By creating a robot from scratch, the machine will be thoroughly tested which is a good thing in the long run. How a machine is able to perform ordinary activities is what is at stake here.

Chris Olah at Google Research has, in a blog post on Tuesday, spelled out the five big questions about how to develop smarter, safer artificial intelligence. The post came alongside a research paper Google released in collaboration with OpenAI, Stanford and Berkley called Concrete Problems in AI Safety. It's an attempt to move beyond abstract or hypothetical concerns around developing and using AI by providing researchers with specific questions to apply in real-world testing. "These are all forward thinking, long-term research questions -- minor issues today, but important to address for future systems," said Olah in the blog post. Google has made no secret about its commitment to AI and machine learning, even having its own dedicated research branch, Google DeepMind.

Keras is a simple and powerful Python library for deep learning. Given that deep learning models can take hours, days and even weeks to train, it is important to know how to save and load them from disk. In this post you will discover how you can save your Keras models to file and load them up again to make predictions. Save and Load Your Keras Deep Learning Models Photo by art_inthecity, some rights reserved. Model weights are saved to HDF5 format.

Big data has already made fundamental changes to the way businesses operate. There are huge advantages for companies who can derive value from their data, but these opportunities come with challenges, too. For some, this is the challenge of acquiring data from new sources. For others, it is the task of building a scalable infrastructure that can manage the data in aggregate. For a brave few, it means extracting value from the data by implementing advanced analytic techniques and tools.

Twitter today is taking another step to build up its machine learning muscle, and also potentially to improve how it delivers photos and videos across its apps: the company is acquiring Magic Pony Technology (that is really the name), a company based out of London that has developed techniques of using neural networks (systems that essentially are designed to think like human brains) and machine learning to provide expanded data for images -- used, for example, to enhance a picture or video taken on a mobile phone; or to help develop graphics for virtual reality or augmented reality applications. Terms of the deal are not being disclosed but we have two separate sources who tell us that Twitter is paying 150 million in all for the deal. This takes into account retention bonuses for the staff, which numbers about 11, including co-founders Zehan Wang and CEO Rob Bishop. "Machine learning is increasingly at the core of everything we build at Twitter," said Jack Dorsey, Twitter CEO and co-founder, in a statement. "Magic Pony's machine learning technology will help us build strength into our deep learning teams with world-class talent, so Twitter can continue to be the best place to see what's happening and why it matters, first. We value deep learning research to help make our world better, and we will keep doing our part to share our work and learnings with the community."

WWDC16 just ended and Apple left us with new amazing innovative APIs. This year speech recognition, proactive applications, deep learning, user intents, and neural networks have been the most frequent terms used during the conference. So, besides a new rich version 3 of Swift, almost every new addition to iOS, tvOS and macOS is related with artificial intelligence. For example, Metal and Accelerate in iOS 10 provide an implementation of convolutional neural networks (CNNs) for the GPU and CPU respectively. During the keynote, Craig Federighi (Apple's SVP Software Engineering) showed how the Photos app on iOS organizes our photos according to different smart criteria. He highlighted that Photos app uses deep learning to provide such functionality. Also, Federighi showed how Siri, now available to developers, can suggest what we need.

Twitter has spent a reported 150 million on acquiring artificial intelligence startup Magic Pony Technology, with the aim of using machine learning to improve its image and video capabilities. Twitter co-founder Jack Dorsey described the startup as a "small and mighty machine learning team" and said that deep learning was key for Twitter's goal of being the "first and best place to see what's happening in the world." In a blogpost released Monday, Dorsey also gave details of how the machine learning techniques developed by Magic Pony Technology would be used by the social media giant. "Magic Pony's team will be joining Twitter Cortex, a team of engineers, data scientists, and machine learning researchers dedicated to building a product in which people can easily find new experiences to share and participate in," Dorsey said. "Magic Pony's technology--based on research by the team to create algorithms that can understand the features of imagery--will be used to enhance our strength in live and video and opens up a whole lot of exciting creative possibilities for Twitter."

Those are some of the well-known goals and accomplishments of Tesla and SpaceX CEO Elon Musk. Now, add Rosie to the mix. You do remember Rosie the robot maid from "The Jetsons," right? OpenAI, the artificial intelligence company backed by Musk, has announced that one of its goals is to "enable" a household robot. The robot would be off the shelf and not built by OpenAI, but the goal is to help it perform basic housework, enabled by the technology the company is working on.

Twitter has bought London-based machine learning outfit Magic Pony Technology, as it moves to bolster its video and image-sharing output. The micro-blogging site has reportedly dropped 150 million ( 102 million) on Magic Pony, which offers tech that apparently improves low-quality pictures and videos on the fly by recognising patterns and textures. Twitter's latest buyout represents its third machine-learning acquisition in two years: it scooped up Madbits in 2014, and Whetlab a year later. "Machine learning is increasingly at the core of everything we build at Twitter," said the firm's chief Jack Dorsey. "Magic Pony's machine learning technology will help us build strength into our deep learning teams with world-class talent, so Twitter can continue to be the best place to see what's happening and why it matters, first, he added.

Under the umbrella of his artificial-intelligence nonprofit, OpenAI, Musk is working with Sam Altman, the sneaker-loving president of Y Combinator, to create an "off-the-shelf" robot that will execute basic housework, according to a company blog post. Signed by two OpenAI executives in addition to Musk and Altman, the announcement outlines the nonprofit's mission to "build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible." Once the team manages to build this robotic maid for the general population, it plans to up the intelligence of this robotic servant so it can hold conversations and problem-solve better than most humans. Let's hope the Three Laws of Robotics come pre-programmed.