How An AI Code Autocompleter Works?
23/07/2019
An average smartphone OS contains more than 10 million lines of code. A million lines of code takes 18000 pages to print which is equal
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An average smartphone OS contains more than 10 million lines of code. A million lines of code takes 18000 pages to print which is equal
Machine learning (ML) is now capable of assisting medical professionals in diagnosing critical cases like diabetic eye disease and metastatic breast cancer. No matter how
It can be challenging for a neural network to work efficiently with sparse data. The lack of publicly available details of representative models and data
LiDAR systems are one of the key components of many self-driving vehicles around the world. LiDAR works much like radar, but instead of sending out
A two-year study from McKinsey Global Institute suggests that by 2030, intelligent agents and robots could replace as much as 30 percent of the world’s
The idea of interfacing minds with machines has been around for a while. Through the imaginations of fiction writer and through relentless pursuit of researchers.
Marcel Proust, in his ‘Remembrance of Things Past’, wrote that a bite of a madeleine made him feel nostalgic about his aunt giving him the
The primary objective of unsupervised learning is to train an algorithm to generate its own instances of data. The job here is not to just
Current machine learning models that are deployed for vision and in natural language processing(NLP) tasks have more than a billion parameters. This allows for better
In the age of the internet, leveraging data to manipulate the likes and dislikes of people has become a common strategy of global firms and
In what can be a bold yet necessary move, India’s apex advisory body AICTE is all set to drop courses that have not much to
TensorFlow’s machine learning platform has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers
Deep Learning has sparked a renaissance in AI computing world, fuelled by the industry’s need to improve ML accuracy and performance rapidly. In spite of
Imagine a future where a swarm of nano-sized probes are voyaging through the bloodstream for intracellular recordings, mapping brain activity and performing other diagnostics. Looks
Bluffing and tricking opponent with little to no interaction is what makes poker such an intense and lucrative game to play and to watch as
Data augmentation is often limited to supervised learning, in which labels are required to transfer from original examples to augmented ones. Augmentation provides a steady
Hard coding a robot to perform all the mundane manual jobs even poorly, will take a lot of computational heavy lifting. It takes an ingenious
Pareidolia is a widely documented phenomena in humans. It is the tendency to identify faces in random things. For example, the two photos above: one
Visualising the behaviour of neural networks has been of great interest lately for two reasons — to have a glimpse at how intelligence in
The guiding principle of generative models is being able to construct a convincing example of the data that it is fed with. The more realistic
Deep neural networks are ambiguous for many reasons. They can be as simple as, “How can Stochastic Gradient Descent (SGD) find good solutions to a
A 2016 study done by IIT Delhi says that the National Highways comprise only 15% of the total length of roads in India but account
The world has become more connected now than ever before. An opinion can fly at light speed across continents and a revolution can be sparked
How well does Federer play on Tuesdays? What is the most thrilling shot in tennis- is it Nadal’s forehand or Federer’s backhand or is it
As we all know, Reinforcement Learning (RL) thrives on rewards and penalties but what if it is forced into situations where the environment doesn’t reward
The International Conference on Learning Representations (ICLR) is one of the highly regarded deep learning conferences conducted every year at the end of spring. The
Robotics has typically been constrained to experts in academia and industry with access to expensive and niche robotics systems. The robotics community has embraced a
The accuracy of state-of-the-art object detection systems is often under scanner for seemingly obvious reasons. From unlocking the phone to self-driving cars, object detection is
Leading cloud providers AWS and Azure are building an ecosystem of tools along with cloud infrastructure. Today, cloud-based applications are powering a number of uses
Machine Learning models suffer from a lack of structured data. The representations of the data are sometimes entangled. This is where prior knowledge of humans
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