The discovery of penicillin, a century ago, has changed the way we live forever. It has put power in the hands of humans. Adding a
The whole talk about machine learning fairness is finally entering the realms of practice as companies like Google are racing up to establish an ecosystem
Artificial intelligence is expected to increase economic output by $13 trillion in the coming decade. As per McKinsey’s report, organisations that fully absorb this technology
Machine learning is the hottest topic in the industry. Therefore, they are one of the highest-paid professionals in the industry. ML and its services are
The internet provides unprecedented and unlimited leverage to those who are skilful, creative and a bit patient. Here are a few non-traditional ways in which
Data science jobs are one of the highest paying jobs of this decade. The democratisation of analytics tools, along with the rise in reading resources,
This week, for our Kaggle Master’s series, we got in touch with Tri Duc Nguyen Tang, who is ranked 47 on the Kaggle worldwide rankings
The deep learning community, especially those who work on Natural Language problems, had a great run in 2019. Top players like Google, NVIDIA and Microsoft
From microelectronics to mechanics and machine learning, the modern-day robots are a marvel of multiple engineering disciplines. They use sensors, image processing and reinforcement learning
Apple thinks it can improve location accuracy by applying machine learning to Kalman estimation filters, a just-published patent application reveals. Kalman filters are popularly used
According to a report by Analytics India Magazine, the AI startup scene, especially in India, has continued to attract investment in 2019, receiving $762.5 Mn
With the increased attention towards democratisation of machine learning resources, there has been a spike in the number of open source datasets that have been
Microsoft has recently introduced Turing Natural Language Generation (T-NLG), the largest model ever published at 17 billion parameters, and one which outperformed other state-of-the-art models
A team at NYU and Modl.ai have posited in their recent work, that simple image processing techniques (listed below) can improve the generalisation in deep
Any decent research paper will consist of the following: How to do part, so that it can be repeated What to do to get results
Two years ago, Google gifted the machine learning developers with its tool, Collaboratory, that gave access to GPUs and TPUs, with a free service, so
Rendering a simple shape into a proper object with geometry, texture, and other material properties is a painstakingly long process; however, with AI, researchers can
Large scale machine learning projects require vast amounts of data, i.e. large datasets. Training models on these datasets is tedious and therefore poses a danger
Google Maps has revolutionised how one travels around the world. Ever since its launch in 2005, Google maps have improved tremendously and today they can
Human societies are extremely complex. The cultural, racial and geographical differences around the globe and the lack of curated data make ‘fairness’ in technology a
The only phenomena that matched the growth of artificial intelligence in recent years is that of Python. Python has become the go-to language for many
In the wake of the world’s attempt to prepare for the Corona outbreak, Baidu’s AI team has released a tool — LinearFold to reduce 2019-nCoV
An adversarial patch is a technique that has been devised to fool the machine learning models. These patches can be a physical obstruction in the
Machine learning models are getting complicated and often have many hyperparameters. In order to ease the exhaustive trial and error kind of experimental procedures, Facebook
6 Popular Image classification models on Keras were benchmarked for inference under adversarial attacks Image classification models have been the torchbearers of the machine learning
DeepMind researchers, in their recent work, have investigated the parallels between neuroscience and neural networks. Though the comparison between human neurons and human-made neurons have
The lack of labelled data is one of the peskiest challenges in machine learning. A classifier that is put to identify spam from proper mails,
Using machine learning to solve hard problems and building profitable businesses is almost mainstream now. This rise was accompanied by the introduction of several toolkits,
The last decade has been exciting for artificial intelligence. It has gone from esoteric to mainstream very quickly, thanks to ingenious work by researchers, the
The amount of machine learning (ML) applications surfaced in the past couple of years have resulted in a myriad of startups. From top tech giants
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