If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Chinese scientists have developed a robot that could be straight out of the Iron Man movies. The two-legged bot is outfitted with small jet engines that are attached to its feet. Robotics engineers at Guangdong University of Tech's School of Automation in China strapped two duct fans to the robot's feet which allow it to cross wider distances than it would have been able to previously. Robotics engineers at Guangdong University of Tech's School of Automation in China developed a bipedal robot that can cross wide distances, thank to two small jet engines It also solves a major problem commonly experienced by robot developers. Most bipedal robots are only capable of making static movements like walking forward in short, controlled steps.
The UK's artificial intelligence sector is growing faster than rivals in America, Canada and Australia – putting Britain on course to be the global leader in AI technology. That's the finding of new data released by the world's largest job site, Indeed. AI technologies require highly skilled workers who can develop and maintain complex systems and applications. In the last three years, demand from UK employers for these types of workers has almost tripled, according to Indeed's data. Roles typically include data scientists and machine learning engineers, specialists who play a crucial part in teaching machines how to use and interpret data.
NASA's Valkyrie robot holds a little "Star Wars" BB-8. The "Star Wars" robots R2-D2 and BB-8 are the droids that NASA is looking for -- "astromechs" that can help repair spaceships on the fly, a NASA robotics engineer says. Future NASA robots might resemble humanoid droids such as C-3PO and K-2SO from the waist up, but have giant mechanical spidery legs from the waist down, the engineer added in a new piece for the journal Science Robotics. For more than 20 years, NASA has sought to develop robot assistants for astronauts. So far, they have developed three droids.
What a weird question!! That's what you would have thought after reading the headline. Perhaps you thought the word "NOT" was accidental. What I have described above is a Problem from an aspiring Data Scientist point of view. There is a bigger problem due to the "SHOULD KNOW" type of articles and the problem bearer are companies- both startups and big MNCs. What are the problems you ask?
Are robots going to take over the world? Sure, we like to make jokes about a robot takeover, and things can sometimes get a bit too real when our favorite virtual assistant seems to be gaining sentience or a robot makes a sudden, bold move for freedom, but it seems we've been worrying about the wrong thing all of these years. Robots don't want to take over the world–they just want to dominate humans on the basketball court. As The Verge reports, a group of engineers from Toyota were inspired by the manga Suramu Danku (or Slam Dunk) that tells the story of a high school boy who finds he has an uncanny, natural ability for basketball. So naturally, they jumped from loving a manga about a human with a hidden talent to making a robot who is basically perfect at shooting free throws.
Algorithms don't change the business, only teams that understand the business outcomes with data will be able to scale up, experts say. According to SAP, only 17 percent of the global businesses understand digital transformation. But going digital is not just about creating apps or websites; it is about business outcomes and using digital avenues to win clients and drive sales. It is all about using data for outcomes. The question then is, what do we need to embark on this journey (combining legacy and digital) to understand everything from employee to client relations and performance of marketing channels?
IBM Corp. today unveiled a new data science and machine learning platform that one executive called "the most significant announcement we've made about data in years." Featuring an in-memory database, a real-time processing engine and the ability to ingest and analyze massive amounts of data, the Cloud Private for Data constitutes an integrated data science, data engineering and application development platform. It's intended for building event-driven applications that can handle "torrents of data from things like internet of thing sensors, online commerce, mobile devices, and more," the company said in a press release. With a combination of features that enables organizations to ingest, transform and analyze streaming data on a single software stack, the engine sits atop Cloud Private, which is IBM's version of the Kubernetes container orchestration platform. Software containers abstract applications away from the underlying hardware, enabling them to run on any computing platform.
So far, the people who are really using mixed reality headsets like Microsoft's Hololens are in industry, which is why the integrated hard hat was such a keenly-awaited accessory. Aviad Almagor is director of the mixed-reality program at land survey and construction company Trimble, which has been working with Microsoft on Hololens. Almagor worked with an architect in California who was presenting the redesign of the abandoned Packard plant in Detroit at the Venice Biennale design festival in Italy. "It's a project that's half a mile long, it's got pretty complex geography; it's in several segments, all of which are complex spaces," said Almagor. "With mixed reality, you can move from the tabletop scale view, which helps you understand the relationships between the different segments in the project, to full immersive view at a one to one scale, so you can physically walk through the design and see how a visitor will experience the design.
Named Cue, the android can shoot with nearly 100 per cent accuracy at short distances, according to the Japanese engineers behind the project. It has learned to score hoops using artificial intelligence having thrown some 200,000 practice shots. In a shootout, the robot scored more free-throws than players at Arvalq Tokyo, a team in Japan's top professional league. Cue is 6 foot 3 inches (190cm) tall, shorter than the average NBA player at 6 foot 7 inches (200cm). It was developed by the Tokyo-based Toyota Engineering Society, who kitted the android out with its own jersey and shorts.
In five lines, you can describe how your architecture looks and then you can also specify what algorithms you want to use for training. There are a lot of other systems challenges associated with actually going end to end, from data to a deployed model. The existing software solutions don't really tackle a big set of these challenges. For example, regardless of the software you're using, it takes days to weeks to train a deep learning model. There's real open challenges of how to best use parallel and distributed computing both to train a particular model and in the context of tuning hyperparameters of different models.