The current limitations of Graph Neural Networks. We continue our two part series on ML on Graphs, by asking: could graphs replace other domain specific formats and algorithms, such as Computer Vision (CV) or Natural Language Processing (NLP)?
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Great Learning collaborates with MIT Professional Education to offer Applied Data Science Program
April 19, 2021 GMT
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BOSTON, April 19, 2021 /PRNewswire/ Great Learning, a leading global ed-tech company for professional and higher education, announces the launch of MIT Professional Education’s Applied Data Science Program with curriculum developed and taught by MIT faculty, and delivered in collaboration with Great Learning. The comprehensive curriculum for the twelve-week program will be delivered on weekdays, followed by sessions over the weekends by Great Learning mentors and industry experts.
The round was co-led by Join Capital and Spintop Ventures, with participation from previous investor Icebreaker.vc.
“I have filed over 20 patents myself, so I have first-hand experience of the inefficiencies in the patent system. The IPRally AI-based approach is the way to go, disrupting an industry that hasn’t changed much for the past 100 years,” said Sami Niemi, partner at Spintop Ventures.
IPRally says it enables Intellectual Property professionals as well as R&D engineers to intuitively build search queries in minutes allowing very precise searches of similar existing patents saving huge amounts of time, and helping to discover patents not possible to find through regular keyword searches. Moreover, IPRally’s unique Graph Neural Network technology allows for machine reasoning of the search results, shifting the paradigm from black-box AI solutions to explainable AI solutions.