Variational Autoencoders (VAE) came into limelight when they were used to obtain state-of-the-art results in image recognition and reinforcement learning. VAEs consist of encoder and
The first demonstration of photovoltaic effect took place in the mid 19th century but it took more than a century for this discovery to come
Back-propagation algorithm in simpler terms can be typified as learning how to ride a bicycle. After a few unfortunate falls, one learns how to avoid
Artificial intelligence encompasses a multitude of technologies, including but not limited to analysing and discovering patterns in data. Advances in mathematics, computing power, cloud computing
Late last year, DeepMind made a significant breakthrough with AlphaFold. Be it diagnosing fatal diseases or engineering a bacteria to eat up plastic, the knowledge
The goal of hyperparameter exploration is to search across various hyperparameter configurations and find a configuration that results in the best performance. Typically, the hyperparameter
Researchers from the interdisciplinary fields of computational sciences and neuro sciences usually take the anthropomorphic design approach to mimic human understanding of conceptual foundations. The
The use of AI to disrupt the music industry has been gaining traction of late. Earlier this year, Google demonstrated how to shred notes into
The year 2018 has seen a meteoric rise in the number of papers released in the field of AI. There were also numerous tools and
With improved accessibility to new technologies, there has never been a better time to include a plethora of studies into the field of artificial intelligence.
Going beyond simple tasks like playing a song or booking an appointment requires generating coherent and engaging responses in conversations requires a range of nuanced
Human conversations consists of metaphors, analogies, allegories and synonyms along with cultural references. To get a sense of what a sentence means is a daunting
ACL is the premier conference in the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches
Tech giants like Google, Amazon and Microsoft have been top providers so far. While Amazon and Microsoft have topped the charts, Google trailed behind. The
Efforts have been made over the past decade to teach artificial intelligence to beat humans at almost every game that involves strategy. All AI breakthroughs
Machine Learning algorithms for image processing have evolved at a tremendous pace. They can now help in the reconstruction of objects in ambiguous images, colouring
Machine learning is a field that has emerged out of numerous innovations in computational sciences, spanning centuries. So, can a machine learning enthusiast skip linear
Machine learning models which are deployed for vision and in natural language processing (NLP) tasks usually have more than one billion parameters. This allows for
Cross-linguistic references can be understood by humans based on context. Words learnt in one language like ‘mother’ or ‘maa’ can be associated immediately when heard
The components of time-series are as complex and sophisticated as the data itself. With increasing time, the data obtained increases, and it doesn’t necessarily mean
Most of the modern day NLP applications are deployed for chatbots, which is a conversational task involving questions which require mostly one word answers. This
According to a study done by Deloitte, in the US alone, people could travel up to 25 percent more miles by 2040 than they do
In a bid to promote democratisation and to fill in the gaps in domain expertise, AutoML or automated machine learning came to the fore. There
The advent of large datasets and compute resources made convolution neural networks (CNNs) the backbone for many computer vision applications. The field of deep learning
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
What’s common with predicting climate change and simulating nuclear fusion reactors? These tasks are modelled on a system of very famous mathematical equations — partial
Deep Learning algorithms are the go-to solution to almost all the recommender systems nowadays. Deep learning thrives at devouring tonnes of data and spewing out
Natural Language Processing (NLP) is one of the most popular domains in machine learning. It is a collection of methods to make the machine learn
There are around 1500 active volcanoes worldwide, and more than 80 erupt each year. These eruptions occur with no warning leading to irrecoverable loss of
BERT has set a new benchmark for NLP tasks. And, this has been documented quite well over the past six months. Bidirectional Encoder Representations from
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