Taking artificial intelligence (AI) to a whole new level, IBM Research has collaborated with MIT’s Department of Brain & Cognitive Sciences in order to develop machine-vision systems. A critical aspect of AI, the goal of this cross-disciplinary research approach is to establish computing systems that can integrate audio-visual inputs by mimicking the human ability to understand.
It is a known fact that AI systems have the potential to transform large amounts of complex, high-level information into useful insights that can benefit healthcare, education, entertainment and several other industries. The insights obtained through AI can be used to manage the global economy, treat diseases, and even forecast weather changes. Due to the amazing potential of machine-vision systems, IBM and MIT have created the Laboratory for Brain-inspired Multimedia Machine Comprehension’s (BM3C). This platform brings together leading brain, cognitive and computer scientists to synergize their knowledge and obtain insights from next-generation models of the brain for triggering advances in machine vision.
The field of machine vision is, at present, facing grave challenges in the sphere of prediction methods as well as pattern recognition – both of which the BM3C aims to address. By merging the knowledge of computer scientists with input from brain and cognitive scientists, the partnership aims to solve complex technical challenges and arrive at more informed decisions on how large amounts of unstructured data can be obtained. One of the ultimate goals of this research is to enable the healthcare industry to provide better care for the disabled and the elderly.
The idea behind naming the laboratory ‘brain-inspired’ is that it will be a place to study the operation of real-life neural networks to build virtual neural networks and thereby improve the ability of computers to interpret the world around them. Thus, the lab brings together cognitive computer system teams and human experts in a natural manner to develop efficient computing infrastructure that comprises of better decision-making techniques and machine vision, along with data assurance and trust.
When machines and humans work together in a collaborative manner, advancements in the field of AI are sure to improve machine performance and enhance our standard of living. This initiative by IBM, which, until now, built and developed computing infrastructure to optimize data-intensive work load, is sure to address industry-specific challenges and help society as a whole.
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