MHRD’s New Free AI Course, Intel’s Mega Purchase And A Lot More: Top AI News Of This Week
A lot can happen over a week in the world of AI and data science. We bring you all the top news that will keep you updated. This week too, there have been a couple of major announcements, acquisitions and open sourcing of tools. Here is what has happened over the past week: MHRD Offers AI Course For Free What is #AI❓How to use #AI to solve real-world problems❓Find answers to these and many more such questions with a dedicated course on Artificial Intelligence at UGC MOOCs by @SWAYAMMHRD.Prepare for the ever-changing world of #AI here:https://t.co/l3UhNWc1G2 pic.twitter.com/m4QKv7KrVW— Dr. Ramesh Pokhriyal Nishank (@DrRPNishank) May 3, 2020 The Ministry of Human Resource and Development (MHRD) is now offering a free course on AI designed for postgraduate students and all the aspirants can access it.  This course is offered through SWAYAM — an initiative by the government for providing life-long learning.Dr Ramesh Pokhriyal Nishank, Minister of Human Resource Development, has shared this news on Twitter Till date, more than 15 thousand learners have enrolled in the Introduction to Artificial Intelligence course. ICMR Deploys IBM Watson For COVID-19 Testing ICMR has implemented @ibm_in Watson Assistant on @ICMRDELHI portal to help all testing facilities & our people be updated on testing data & get timely inputs on latest #COVID19 information. This will also help onboard new people quickly as we expand the network #IndiaFightsCorona— ICMR (@ICMRDELHI) May 4, 2020 Indian Council of Medical Research (ICMR) has collaborated with IBM to implement a Watson virtual agent on its portal to respond to the queries of front line staff and data entry operators from various testing and diagnostic facilities working on COVID-19 across the country.  These queries could be related to  data to be captured by test labs, record inventory of test kits and references.This virtual agent has been deployed on protected pages of the ICMR website and can be accessed only by authorized personnel. OpenAI Releases Neural Networks That Generate Music Last week, OpenAI introduced Jukebox, a neural net that generates music, including singing in a variety of genres and artist styles. The researchers have the model weights and code, along with a tool to explore the generated samples. Provided with genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch. While Jukebox represents a step forward in musical quality, and ability to condition on artist, genre, and lyrics, the researchers behind this project believe there is a significant gap between these generations and human-created music. Intel Acquires Makes A $900 M Purchase Intel Corporation this week announced that it has acquired the Israeli company Moovit for approximately $900 million. Intel’s Mobileye can now use Moovit’s vast and diverse transportation datasets that consist of more than 7,500 key transit agencies and operators from a consumer base of more than 800 million users worldwide. Mobileye has industry’s most advanced vision sensing technology, crowd-sourced mapping capability and the Responsibility-Sensitive Safety (RSS) driving policy. With Moovit in its technology stack, Intel is going to be a key player in the future of transportation. Finding A Moore’s Law For Algorithms OpenAI, in an attempt to trace the progress of AI has analysed the recent successes and recommended a few measures that can lead to the progress of AI. Danny Hernandez and Tom Brown of OpenAI explored the commonly held notion of rapid advancement in AI. The researchers believe that tracking the overall progress in AI/ML is  crucial because it can ground the discussion in evidence. Measuring AI progress is critical for both policymakers and practitioners so that they can make appropriate decisions in the kind of investment they should be probably making. A New Kind Of Meta Learning Makes An Entry Optimising machine learning models to do specific tasks by manipulating hyperparameters involves significant inputs from the user, which makes it a tedious process. This burden was eased with the introduction of meta-learning, which, in a way, has automated the optimisation part of the process. However, current meta-learning approaches still need manual inputs. To solve this, the researchers from UC Berkeley, Carnegie Mellon and Stanford University collaborated to introduce unsupervised meta-learning, where machine learning algorithms themselves propose their own task distributions. Unsupervised meta-learning, say the researchers, would further reduce the amount of human supervision required to solve tasks, potentially inserting a new rung on this ladder of abstraction. ICLR Conference Concludes The International Conference on Learning Representations (ICLR) is one of the top deep learning conferences conducted every year at the end of spring. This year’s conference, which was supposed to happen in Africa, was moved to a virtual platform due to COVID-19 outbreak. ICLR is one of the top conferences along with NeurIPS, ICML and other such yearly conferences. This is the first time that one of these conferences have been held online and this scale. ICLR 2020 witnessed a great display from the tireless AI community. Many novel techniques and innovations were presented and all the recorded videos and papers are now made available free on their archives.
A lot can happen over a week in the world of AI and data science. We bring you all the top news that will keep you updated. This week too, there have been a couple of major announcements, acquisitions and open sourcing of tools. Here is what has happened over the past week: MHRD Offers […]
Intel Corporation this week announced that it has acquired the Israeli company Moovit for approximately $900 million.
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["data science", "machine learning", "artificial intelligence", "OpenAI", "AI", "neural network", "TPU", "ML", "deep learning", "Deep Learning Techniques", "R"]
["AI", "artificial intelligence", "machine learning", "ML", "deep learning", "neural network", "data science", "OpenAI", "TPU", "R"]
I have a master's degree in Robotics and I write about machine learning advancements.