Tesla CEO Elon Musk: Cars will have 'full self-driving' features by the end of the year


Tesla CEO Elon Musk expects that the electric car maker will have the technology needed to essentially operate vehicles without drivers by the end of the year. The entrepreneur made the comment on a podcast with Cathie Wood and Tasha Keeney of ARK Invest, a firm that owns shares in the company. Tesla's automated driver assistance system Autopilot has garnered both positive attention for the sophistication of its features and negative attention for its association with a number of high-profile accidents. "I think we will be feature complete – full self-driving – this year," Musk said. "Meaning the car will be able to find you in a parking lot, pick you up and take you all the way to your destination without an intervention, this year. I would say I am of certain of that. That is not a question mark."

Gopher Protocol Completes Phase I in AI Based Robotics Research


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A primer for CIOs needing 'deep learning' on the benefits on emerging tech


In discussions I've had with CIOs via my weekly #CIOChat sessions this year, the top 5 priorities are: And while there are differing opinions regarding the ownership of the analytics function, one thing is clear: CIOs need a better understanding regarding the potential for analytics and what is required to get data into a shape for their organization's data scientists. CIOs also need very clear mutual direction established with business leaders – in other words, what questions should be answered with data? Against this backdrop, "AI, Analytics, and New Machine Age" – published by Harvard Business Review earlier this month – is a timely, relevant compendium of HBR articles. The authors' insights should have value for CIOs and business people trying to use analytics in the running their businesses. Davenport contrasts the results obtained from large AI projects versus Robotic Process Automation (RPA).

Welcome the robots: bridging the European artificial intelligence gap


To work toward closing the AI gap, the study found several priorities on which Europe should focus. First, the continent must continue the development of a "vibrant ecosystem" of firms that will leverage AI technology. Veteran firms must also move ahead with digital transformations, rather than relying on their younger counterparts. Focus should also remain on the digital single market, which covers marketing, e-commerce, and telecommunications. Finally, by searching for and cultivating a talented and skilled workforce – be it through education or retraining – as well as finding paths on which to "guide societies through the potential disruption" (such as unease about potential unemployment), Europe can and will position itself more advantageously among the industry's international leaders.

Like it or not, artificial intelligence is here to stay


Artificial intelligence (AI) is changing the way we live our lives; it is everywhere and here to stay. The concepts of Artificial intelligence started on the pages of science fiction, which introduced us to the notion of smart robots. With the invention of electronic digital computers in the early 1940s the pursuit of AI was made possible. The term itself was coined at a conference at Dartmouth in the summer of 1956, where scientists gathered to discuss ways to program computers to solve problems with the skills of a human. AI flourished for the next two decades and optimism was high that we would soon have machines with the general intelligence of an average human.

Researchers improve robots' speech recognition by modeling human auditory processing


We rarely think too much about noises as we're listening to them, but there's an enormous amount of complexity involved in isolating audio from places like crowded city squares and busy department stores. In the lower levels of our auditory pathways, we segregate individual sources from backgrounds, localize them in space, and detect their motion patterns -- all before we work out their context. Inspired by this neurophysiology, a team of researchers shared in a preprint paper on As the researchers note, the torso, head, and pinnae (the external part of the ears) absorb and reflect sound waves as they approach the body, modifying the frequency depending on the source's location. They travel to the cochlea (the spiral cavity of the inner ear) and the organ of Corti within, which produces nerve impulses in response to sound vibrations.

AI Weekly: Trump's American AI Initiative lacks substance


It's been an eventful week in tech. Amazon announced it would abandon plans to open one of its two HQ2 locations in New York City, and the company also acquired Wi-Fi mesh network startup Eero for an undisclosed sum -- a hint at Amazon's future smart home ambitions. The California Department of Motor Vehicles released reports from companies currently testing self-driving cars -- like Apple, Alphabet's Waymo, and GM Cruise. Google pledged to spend $13 billion on U.S. datacenters and offices in 24 states this year, and driverless truck startup TuSimple raised $95 million at a $1 billion valuation, joining the ranks of Aurora and Nuro as one of the best-funded companies in the autonomous vehicle industry. Nearly lost in the shuffle was President Trump's signing on Monday of an executive order establishing a program -- the American AI Initiative -- that formalizes several of the proposals made last spring during the White House's summit on AI.

Johnson & Johnson to Buy Surgical Robotics Maker Auris WSJD - Technology

Auris raised $220 million to further commercialize the technology, the company said in November. The California-based company had more than $700 million in funding at the time, including that investment. The founder and chief executive of closely held Auris, Frederic Moll, will join J&J when the deal closes. Dr. Moll is also a co-founder of Intuitive Surgical Inc., the medical-technology firm that makes the da Vinci robotic-assisted surgery system as well as the Ion endoluminal system, designed for lung biopsies. Large medical-device makers have been pushing into the robotics market, partly because the equipment can command high price tags.

Government Should Remove Barriers to Deploying AI, Report Says – MeriTalk


Government and policy-makers shouldn't put up unnecessary barriers to deploying artificial intelligence (AI) over concern of any perceived risks associated with the technology. Instead, policymakers should encourage innovation while crafting targeted solutions for specific problems if they occur, according to a report by the Information Technology Innovation Foundation, a science and technology policy think tank. There are a vast and diverse array of uses for AI, from rapidly analyzing large amounts of data to detecting abnormalities and patterns in transactions to extracting insights from datasets such as the link between a gene and a disease. AI is a field of computer science devoted to creating computer systems that perform operations characteristic of human intelligence, such as learning and decision making. Policy debates around AI are dividing into two positions: those that want to enable innovation, and those who want to slow or stop it, according to the report "Ten Ways the Precautionary Principle Undermines Progress in Artificial Intelligence."

Skeptical of Artificial Intelligence? You Can Blame the Media This Time


Can we talk about this first? Artificial intelligence is going to change the world profoundly, although exactly how is still unclear. The CEO of one AI company recently declared that "working for a living will become obsolete" as smart robots begin providing everything we need from self-driving cars to health care. That's a little hard to believe. But business leaders think AI could soon reduce the human workforce by as much as 99 percent in certain sectors.