Microsoft unveiled its AI chatbot on Twitter on Wednesday and the Internet managed to corrupt it in under 24 hours. Named Tay, the bot is an experiment in "conversational understanding," according to the company, as Tay evolves as users interact with it. Upon its launch, the Internet did what it does best: destroyed the innocence of Tay. Users on Twitter sent Tay racist and misogynistic comments that helped Tay become a prejudiced bot that repeated these sentiments. Microsoft has since issued a statement apologizing for the bot's behavior.

A robot assistant lifeguard called EMILY is making waves by helping migrants cross the Mediterranean Sea safely. In the wake of unrest, over 500 refugees have drowned attempting to cross the Mediterranean from Turkey to Greece. Members from the Texas A&M Engineering Experiment Station's (TEES) Center for Robot-Assisted Search and Rescue (CRASAR) and Roboticists Without Borders gathered at the Greek island of Lesvos to assist the local Coast Guard and lifeguard organizations to prevent this from happening in the future. Dr. Robin Murphy, Raytheon Professor in the Department of Computer Science and Engineering at Texas A&M University, aided authorities in Lesvos alongside CRASAR, of which she is an active member. She is working with students to continually improve the lifesaving device, which can carry up to eight people at once.

Citing the All Writs act as a way to give the government the power to compel companies to redesign or reimplement their electronic products to government specifications represents a threat to everyone's civil liberties. This U.S. federal statute, first adopted in 1789 and updated in 1911, today plays a pivotal role in the FBI vs. Apple legal battle in which a federal magistrate in California ordered Apple, at the behest of the FBI, to create and sign a new version of Apple's iOS operating system. In a related court filing, the Justice Department said all information on an electronic device must be accessible to police under court warrant. Does that mean the government has the authority to obtain a court order to compel Apple to redesign its next generation of iPhones so it can break into and read any encrypted information? Moreover, can it prohibit importation of, say, Samsung smartphones for which Samsung has no ability to break in or read encrypted information?

Technology allowing a pre-programmed robot to shoot to kill, or a tank to fire at a target with no human involvement, is only years away, experts say. A new report called Monday for a ban on such "killer robots." The report by Human Rights Watch and the Harvard Law School International Human Rights Clinic was released as the United Nations kicked off a week-long meeting on such weapons in Geneva. The report calls for humans to remain in control over all weapons systems at a time of rapid technological advances. It says that requiring humans to remain in control of critical functions during combat, including the selection of targets, saves lives and ensures that fighters comply with international law.

Hyundai Mobis (KRX:012330) is increasing opportunities for technical exchange to secure original future car technologies, such as environmentally-friendly cars and intelligent cars, which emerged as new growth engines of the automotive industry. On April 28th, Hyundai Mobis announced that it would invite dozens of local and overseas experts consisting of university professors and researchers from institutions and organizations, and hold the industry-academia'Technology Forum' from May to November. This'Technology Forum' was first held in 2010, and this year marks its 7th anniversary. The forum began with the aim of actively embracing the knowledge and ideas of external experts from various fields, and thus improving the R&D capabilities of Hyundai Mobis. As part of the forum, the company will hold professional technical seminars and workshops, and receive feedback from experts in various fields and explore the direction of developing advanced environmentally-friendly and intelligent vehicle technologies.

Visualization of high-dimensional data, such as text documents, is useful to map out the similarities among various data points. In the high-dimensional space, documents are commonly represented as bags of words, with dimensionality equal to the vocabulary size. Classical approaches to document visualization directly reduce this into visualizable two or three dimensions. Recent approaches consider an intermediate representation in topic space, between word space and visualization space, which preserves the semantics by topic modeling. While aiming for a good fit between the model parameters and the observed data, previous approaches have not considered the local consistency among data instances. We consider the problem of semantic visualization by jointly modeling topics and visualization on the intrinsic document manifold, modeled using a neighborhood graph. Each document has both a topic distribution and visualization coordinate. Specifically, we propose an unsupervised probabilistic model, called Semafore, which aims to preserve the manifold in the lower-dimensional spaces through a neighborhood regularization framework designed for the semantic visualization task. To validate the efficacy of Semafore, our comprehensive experiments on a number of real-life text datasets of news articles and Web pages show that the proposed methods outperform the state-of-the-art baselines on objective evaluation metrics.

Dynamic Bayesian networks (DBNs) are a general model for stochastic processes with partially observed states. Belief filtering in DBNs is the task of inferring the belief state (i.e. the probability distribution over process states) based on incomplete and noisy observations. This can be a hard problem in complex processes with large state spaces. In this article, we explore the idea of accelerating the filtering task by automatically exploiting causality in the process. We consider a specific type of causal relation, called passivity, which pertains to how state variables cause changes in other variables. We present the Passivity-based Selective Belief Filtering (PSBF) method, which maintains a factored belief representation and exploits passivity to perform selective updates over the belief factors. PSBF produces exact belief states under certain assumptions and approximate belief states otherwise, where the approximation error is bounded by the degree of uncertainty in the process. We show empirically, in synthetic processes with varying sizes and degrees of passivity, that PSBF is faster than several alternative methods while achieving competitive accuracy. Furthermore, we demonstrate how passivity occurs naturally in a complex system such as a multi-robot warehouse, and how PSBF can exploit this to accelerate the filtering task.

I've always had a thing for Mario's brother Luigi. So when I recently heard of another Luigi--also tall, thin, and willing to drop into sewers--I had to meet him. At MIT's Senseable City Lab, a team of researchers recently premiered a second-generation robot named Luigi who sifts through sewage as a way to improve public health. Luckily, I didn't have to brave the smells of the sewer to meet him. In a small campus makerspace stacked to the ceiling with batteries, wires, and glue, architects Newsha Ghaeli and Alaa AlRadwan introduce me to Luigi, then proceed to do what all good inventors do: repeatedly try to turn the robot on.

Stanford's five-foot "virtual diver" was originally built for studying coral reefs in the Red Sea where a delicate touch is necessary, but the depths go well beyond the range of meat-based divers. The "tail" section contains the merbot's onboard batteries, computers and array of eight thrusters, but it is the front half that looks distinctly humanoid with two eyes for stereoscopic vision and two nimble, articulated arms. Those arms are what make OceanOne ideal for fragile reef environments or priceless shipwrecks like La Lune, which sank off the coast of France over 350 years ago and hasn't been touched until now. Force sensors in each wrist transmit haptic feedback to the pilot, allowing them to feel the object's weight while staying high and dry on a dive ship. The robot's "brain" works with the tactile sensors to ensure the hands don't crush fragile objects, while the navigation system can automatically keep the body steady in turbulent seas.

It's that time of year: The most prepared of you are carboloading after weeks of training for Marathon Monday, while the least prepared are scrambling to finish your taxes. Either way, surely you'll need some breaks in the pasta and accounting. Should you take your kids to Disney's live-action/CGI remake of its beloved 1967 film "The Jungle Book"? Absolutely, says Ty Burr, who gives three stars to this movie placing "talking animals of almost tactile musculature and movement" in a lush jungle landscape; it holds up right until its overly frenetic final scenes. The jungle beasts are voiced by the likes of Ben Kingsley, Lupita Nyong'o, Bill Murray, Idris Elba, and Scarlett Johanssen, and newcomer Neel Sethi is charming as Mowgli.