Deep learning for Internet of things

Deep learning is a type of machine learning that leverages multi-layered neural networks that are capable of transforming high-dimensional inputs into an output. Preferred Networks (PFN) a Tokyo-based start-up has been increasingly exploring the concepts of AI in order to reshape IoT ever since they moved on from being a search engine to a deep learning-based company in 2014, The founders of PFN started as a Japanese search engine in the early 2000s and later on as deep learning sectors boomed they readily cashed in their opportunity to integrate IoT and the robust manufacturing sectors of Japan.PFN has a wide range of services that they cater ranging from medical diagnostics to self-driving cars. But their early partnership with Fanuc a large Japanese robotics firm led to one of the biggest breakthroughs of the company in the field of bin picking. Although it is a low-skilled, tedious yet necessary task for the manufacturing sector, machine learning has made it possible to automate these tasks using robotic arms.PFN developed a vision-based solution enabling bin-picking bots to learn quickly from each fumbled attempt and achieved a 90% success rate after 8 hours of work. Recently PFN partnered with Toyota to develop Toyota’s Human Support Robot Platform that aims at making robots that are capable of carrying out mundane tasks autonomously. Read More>>

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