IBM Research (NYSE: IBM) today announced a multi-year collaboration with the Department of Brain & Cognitive Sciences at MIT to advance the scientific field of machine vision, a core aspect of artificial intelligence. The new IBM-MIT Laboratory for Brain-inspired Multimedia Machine Comprehension's (BM3C) goal will be to develop cognitive computing systems that emulate the human ability to understand and integrate inputs from multiple sources of audio and visual information into a detailed computer representation of the world that can be used in a variety of computer applications in industries such as healthcare, education, and entertainment. The BM3C will address technical challenges around both pattern recognition and prediction methods in the field of machine vision that are currently impossible for machines alone to accomplish. For instance, humans watching a short video of a real-world event can easily recognize and produce a verbal description of what happened in the clip as well as assess and predict the likelihood of a variety of subsequent events, but for a machine, this ability is currently impossible. Beginning in September 2016 in Cambridge, the BM3C collaboration will bring together leading brain, cognitive, and computer scientists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision.

This is a follow up to an article I wrote last year, Machine Learning in a Week, on how I kickstarted my way into machine learning (ml) by devoting five days to the subject. After this highly effective introduction, I continued learning on my spare time and almost exactly one year later I did my first ml project at work, which involved using various ml and natural language processing (nlp) techniques to qualify sales leads at Xeneta. This felt like a blessing: getting paid to do something I normally did for fun! It also ripped me out of the delusion that only people with masters degrees or Ph.D's work with ml professionally. The truth is you don't need much maths to get started with machine learning, and you don't need a degree to use it professionally.

Beginning in September 2016 in Cambridge, the BM3C collaboration will bring together leading brain, cognitive, and computer scientists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision. The vision is that this integrated cross-disciplinary research will lead to advances that are likely to change both our personal and professional lives - from helping clinicians improve elderly and disabled care to helping organizations maintain and repair complex machinery as well as a host of cross-industry applications. "In a world where humans and machines are working together in increasingly collaborative relationships, breakthroughs in the field of machine vision will potentially help us live healthier more productive lives," said Guru Banavar, Chief Scientist, Cognitive Computing and VP at IBM Research. "By bringing together brain researchers and computer scientists to solve this complex technical challenge, we will advance the state-of-the-art in AI with our collaborators at MIT." The BM3C will be led by Professor James DiCarlo, head of the Department of Brain & Cognitive Sciences (BCS) at MIT, who will be supported by a team of faculty members, researchers, and graduate students from both the Brain & Cognitive Sciences department and the MIT Computer Science and Artificial Intelligence Lab (CSAIL).

HANOI – Younger students in Vietnam are learning Japanese after language classes were introduced at five elementary schools in Hanoi and Ho Chi Minh City this month. The schools are now offering Japanese lessons from the third grade, and classes are expected to be rolled out at elementary schools elsewhere, too. The Vietnamese education system has five grades in elementary school, four grades in junior high school and three years in high school. Japanese language classes are already offered in junior high and high school. "I became interested in Japanese language after reading the'Inazuma Eleven' manga series," said one student at Chu Van An Elementary School in Hanoi, which kicked off its Japanese language class on Thursday.

Computer Science students who wish to specialize in data-science-focused careers need to take courses that cover the core areas of data science including algorithms, machine learning, data visualization, data management, and societal implications of data science. To achieve this goal, UW CSE has a new transcriptable option in Data Science to be added to the Computer Science major; students who complete all of the required coursework will have the option listed on their transcript upon graduation. This specialization will ensure that computer science students interested in data-science-related careers get the broad and deep education they need and that they obtain a strong foundation in this fast-growing field.

Much ink has been spilled on the subject of how the jobs market is being impacted by artificial intelligence (AI) and robotics. The well-known study by economists Frey and Osborne published in 2013, which predicts that 47% of all currently existing jobs in the United States will come under threat over the next twenty years, is regularly brought out of the cupboard as a terrifying spectre. Other far more optimistic studies, based on longer time-frames, have delivered a riposte to this – largely unfounded – scaremongering, which has in fact been repeated many times over throughout our history. However, the potential impact of AI on general education and vocational skills training – two means of preparing people for the labour market – is still being largely disregarded. The model whereby you learn during the first half of your life and spend the remaining years applying what you have learned in the world of work has held up pretty well.

If you have not been living under a rock for the last year or so, you would not have missed all the excitement about how Artificial Intelligence enabled solutions are taking over the world, at least the IT world. AI has been around since the 60s and has had at least couple of cycles of peaks and troughs (poetically called'AI winters'). Earlier AI approaches had still a large human component to get the deeper insights out of data which the machines processed in an'intelligent' way. With advances in machine learning algorithms, increased machine power and cloud computing, now AI systems have become capable of getting deeper insights out of data compared to human experts. AI poses unique challenges for the established SI players.

Artificial Intelligence, or AI, is all around us and we might not even realize it! As a technology that imitates human decision making, it is present in a lot of what we use every day. AI can be found in Amazon.com Facebook tells you whom you could know and want to be friends with. Cars can automatically park for you.

A Maine high school unable to fill a vacant teacher position has turned to a foreign language computer program to educate students. With money already earmarked for the job, The Morning Sentinel reports Madison Area Memorial High School opted to purchase the Rosetta Stone program to serve as its full-time French and Spanish teacher. Principal Jessica Ward says the situation isn't perfect, but Rosetta Stone was the best option moving forward this year. The school was forced to purchase the program, which is currently used in more than 4,000 schools nationwide, when no one applied. Rosetta Stone officials say the program is ideally used in conjunction with a live teacher.

Rami Malek won the Outstanding Drama Actor award at the 2016 Emmys for his performance as Elliot Alderson on "Mr. It was the actor's first time to be nominated. While the actor is most popularly known for his role as the hacker-activist Elliot, there are many things about Malek that people will surely find as fascinating as the character he plays onscreen. Here are a few of them. Malek has a twin named Sami, who works as a teacher. Rami is the older twin by four minutes. It was just for one episode, and he only had three lines. Rami played one of Lane's (Keiko Agena) bible study group peers in Season 4, Episode 11, titled "In the Clamor and the Clangor," of the WB show. Rami went to the same school as Dunst, which was the Notre Dame High School in Sherman Oaks, Los Angeles. The actor admitted in an interview with E! News that he had a little thing for the "Fargo" actress. Rami also said that he and the actress are still friends, and his friend Garrett Hedlund is currently dating Dunst. The actor told Yahoo that he's not allergic to all kinds of cats, but when he told the production team behind "Mr.