Faster big-data analysis
System for performing “tensor algebra” offers 100-fold speedups over previous software packages.
A Comprehensive Tutorial to Learn Data Science with Julia from Scratch
Introduction Recently, I came across a quote about Julia: “Walks like python. Runs like C.” The above line tells a lot about why I …
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Can artificial intelligence learn to scare us?
With Shelley, the world’s first artificial intelligence-human horror story collaboration, MIT researchers aim for goosebumps.
Risk is for real if not Artificial Intelligence
Amalgamating the latest technology of artificial intelligence, predictive analytics and cognitive messaging to serve millions of customers is now a new winning strategy? AI and regulation are paving the way for Fintech. Artificial intelligence is a new…
Learning a Hierarchy
We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast solving of tasks requiring thousands of timesteps. Our algorithm, when applied to a set of navigation problems, discovers a set of high-level actions for walking and crawling in different directions,
Learning a Hierarchy
We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast solving of tasks requiring thousands of timesteps. Our algorithm, when applied to a set of navigation problems, discovers a set of high-level actions for walking and crawling in different directions,
The Essential NLP Guide for data scientists (with codes for top 10 common NLP tasks)
Introduction Organizations today deal with huge amount and wide variety of data – calls from customers, their emails, tweets, data from mobile applications and …
The post The Essential NLP Guide for data scientists (with codes for top 10 commo…
Fundamentals of Deep Learning – Activation Functions and When to Use Them?
Introduction Internet provides access to plethora of information today. Whatever we need is just a Google (search) away. However, when we have so much …
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Generalizing from Simulation
Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before. The simulator need not match
Generalizing from Simulation
Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before. The simulator need not match