Although computers are better for data processing and making calculations, they were not able to accomplish some of the most basic human tasks, like recognizing Apple or Orange from basket of fruits, till now.

IBM and MIT are teaming up to support the development of machine vision using insights from brain and cognitive research. According to today's release, the multi-year partnership will see IBM Research collaborate with MIT's Department of Brain & Cognitive Sciences (BCS) to explore and develop aspects of machine understanding to better deal with audio-visual inputs. The new lab for Brain-inspired Multimedia Machine Comprehension (BM3C) will aim to build cognitive computing systems which can mirror the human ability to understand inputs from a variety of visual and audio sources. BM3C will look to find answers to numerous technical challenges around pattern recognition and prediction in machine vision, which are currently impossible tasks for machines to complete alone. The statement proposes an example in which a human watches a short video of a real-world event and can easily produce a description of the clip, as well as assess the likelihood of subsequent events – all of which are impossible for a machine to accomplish.

Technology leaders are looking to bring artificial intelligence out of its infancy to make breakthroughs in cognitive solutions. IBM Research announced it is teaming up with the Department of Brain and Cognitive Sciences (BCS) at MIT to accelerate the development of machine vision. Together, the organizations will make up the IBM-MIT Laboratory for Brain-inspired Multimedia Machine Comprehension (BM3C). BM3C is a multi-year collaboration to develop cognitive computing systems that resemble how humans understand audio and visual information. BM3C researchers will look into pattern recognition and prediction methods, as well as next-generation models to advance machine vision.

IBM Research have 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 BMC3 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.

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.

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).

Since I'm a cognitive scientist and also something of a data scientist, I figured I'd weigh in on'Cognitive Computing'--what it is, what it isn't, and what is could (and should) be. The'cognitive' bit of Cognitive Computing is a marketing term. Cognitive computing describes technology platforms that broadly speaking, are based on the scientific disciplines of Artificial Intelligence and Signal Processing. These platforms encompass machine learning, reasoning, natural language processing, speech and vision, human-computer interaction, dialog and narrative generation and more. From the people I've talked to who work with this stuff, the converged-upon definition of Cognitive Computing seems to boil down to inference plus recommendation.

IBM has been researching, developing and investing in AI technology for more than 50 years. The public became aware of a major advance in 2011, when IBM Watson won the historic Jeopardy! Since that time, the company has advanced and scaled the Watson platform, and applied it to various industries, including healthcare, finance, commerce, education, security, and the Internet of Things. We are deeply committed to this technology, and believe strongly in its potential to benefit society, as well as transform our personal and professional lives. To this end, we have engaged thousands of scientists and engineers from IBM Research and Development, and partnered with our clients, academics, external experts, and even our competitors to explore all topics around AI.

The idea of computers outsmarting and replacing humans has existed in movies and books for decades. Fortunately, that hasn't happened on a wide scale yet. But what has happened is the recent emergence of artificial intelligence concepts--specifically cognitive computing. These concepts involve advanced technology platforms that can address complex situations that are characterized by ambiguity and uncertainty. Cognitive computing has begun to augment business decisions and power performance right alongside human thought process and traditional analytics.

During the British summer, conversations about sport become almost ubiquitous. This year, however, one participant in those conversations was very different: IBM Watson, IBM's cognitive intelligence. The All England Lawn Tennis Club knew that 2016 would feature unusually fierce competition for attention, with the Tour de France and Euro 2016 taking place alongside Wimbledon. More than ever before, social media was going to be a vital tool in directing that conversation, and directing attention to SW19. Wimbledon's "Cognitive Command Centre" – powered by Watson's intelligence running on a hybrid, IBM-managed cloud - scanned social media for emerging news and trends.