Mark Zuckerberg and his wife, Priscilla Chan, in 2016 founded the Chan Zuckerberg Initiative, an LLC that invests in charities and businesses that the couple believe can help the world and help cure diseases. Now the philanthropic organization is making its first acquisition: It has purchased Meta, an artificial intelligence startup for the medical community. Meta co-founder and CEO Sam Molyneux announced the deal in a Facebook post Monday. Terms of the deal were not disclosed. The startup uses an AI-powered search engine that helps researchers and doctors quickly find the most relevant information in a database of science research papers.

The government is to press ahead with plans to enable petty criminals to plead guilty online and receive a sentence through a computer. A report from the Ministry of Justice has called for the system to be tested with non-prisonable offences, such as tram fare evasion, railway fare evasion and possession of an unlicensed road and line. "Under this proposal, defendants who opt in to the online procedure and plead guilty will be offered the option to accept a pre-determined penalty (including the payment of any appropriate compensation and costs), be convicted and pay the amount immediately," it reads. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Video: Like owners and pets, are you to blame if your robot hurts you? Who is accountable for an artificial intelligence or robot which performs an action that brings harm to people? That action might be accidental but it's one of many questions society might need to ask itself about the autonomy and accountability of AI when more advanced forms of it such as driverless vehicles -- likely to be the first robots we learn to trust -- drones, and even military weapons become more widely deployed. AI and legal experts are attempting to figure it out, but there's no simple answer. Google's next big step for AI: Getting robots to teach each other new skills Robots haven't reached human intelligence yet, but Google's researchers are showing how they're closing the gap using downloadable intelligence.

Science fiction has already explored the theme of robot rights, such as the film Bicentennial Man. Science fiction likes to depict robots as autonomous machines, capable of making their own decisions and often expressing their own personalities. Yet we also tend to think of robots as property, and as lacking the kind of rights that we reserve for people. But if a machine can think, decide and act on its own volition, if it can be harmed or held responsible for its actions, should we stop treating it like property and start treating it more like a person with rights? What if a robot achieves true self-awareness?

Several artificial intelligence projects have been created over the past few years, most of which still had some kinks to work out. For some reason, multiple AI solutions showed signs of racism once they were deployed in a live environment. It is one of the major hurdles to overcome before artificial intelligence services and products can effectively become a part of mainstream society. Although this incident is not racism in its extreme form, it highlighted an underlying problem with AI-driven recognition solutions. After sending a data packet containing nearly 2,000 faces to an AI solution, Chinese researchers discovered their project showed a high degree of bias.

Over the few past years, the demand for real-time interpretation services has increased considerably. The globalisation of business can be considered a huge contributing factor for this phenomenon, as it has increased the opportunities for international trade and opened new markets for businesses all around the world. In order to be competitive and keep up with this increase in demand for interpreting services, developers have been working on technological solutions to meet the requirements for high-quality simultaneous interpretations, but can tech really replace humans when it comes to interpreting? Real-time translation systems include applications that can be installed on smartphones, computers, or other gadgets linked to the Internet. The words of the speaker are transcribed by a computer server, which analyses the content and selects the closest translation from a vast collection of phrase pairs in its database.

We humans make sense of the world by looking for patterns, filtering them through what we think we already know, and making decisions accordingly. When we talk about handing decisions off to artificial intelligence (AI), we expect it to do the same, only better. Machine learning does, in fact, have the potential to be a tremendous force for good. Humans are hindered by both their unconscious assumptions and their simple inability to process huge amounts of information. AI, on the other hand, can be taught to filter irrelevancies out of the decision-making process, pluck the most suitable candidates from a haystack of résumés, and guide us based on what it calculates is objectively best rather than simply what we've done in the past.

The Martens Clause appears to be the key to resolving much of the dispute over autonomous weapons systems because it provides the necessary grounding for moral questions in international law, and it gives an opening for us to actually grasp what might be considered the "dictates of public conscience." In other words, we can put to side the question of whether technology can act in a particular way at a particular time, and instead ask whether the technology should do so. As the International Committee of the Red Cross explains, "there is a related question of whether the principles of humanity and the dictates of public conscience (the Martens Clause) allow life and death decisions to be taken by a machine with little or no human control." But how would we begin to say that autonomous weapons systems uphold or violate the "principles of humanity and the dictates of public conscience?" How would we know whose principles are upheld or what "humanity" really believes?

Vizio admits they secretly used software to track people's TV viewing habits. Now they've agree to pay $2.2 million to settle a lawsuit with the FTC and New Jersey. TV maker Vizio is paying $2.2 million to settle charges over software on some of its smart TVs used to collect viewing data without consumers' consent. Starting in February 2014, Vizio captured information on 11 million consumer TVs about information about what viewers were watching on cable, streaming services and over-the-air broadcasts without TV owners' knowledge or consent, according to a complaint from the Federal Trade Commission and the Office of the New Jersey Attorney General. The agencies announced the settlement Monday.

WIRE)--CORNAMI, a high-performance computing company in artificial intelligence (AI), machine learning, and big data, today announced that key monolithic patents around its next generation, highly-efficient, advanced, multi-core architecture technology have been issued, thereby greatly enhancing the CORNAMI IP asset value portfolio. The CORNAMI patent portfolio now has over 60 patents with more than another dozen pending in US and International PTO (Patent and Trademark offices). CORNAMI has developed a non-Von Neumann parallel architecture with independent decision making capabilities at each processing core, interspersed with high-speed memory, all interconnected by a biologically inspired network to produce a scalable "sea of cores". This unique architecture delivers tremendous advancements in efficient multi-core parallel processing that dramatically changes the output-to-power performance at the petabyte data-set scale. There is built-in demand for real-time and actionable data analytics for applications in the hyper-growth big data, machine learning and AI markets.