“Even the best of the 89 commercial facial recognition algorithms tested had error rates between 5% and 50%.” The ongoing pandemic has established many uncomfortable
Since the 1950s, economic development has required an ever-increasing amount of carbon emissions. With the debate of climate change getting more heated, more and more
“A week before the Christchurch shooting, saying “I wish you were in the mosque” probably doesn’t mean anything. A week after, that might be a
“Even after two decades of corporate experience, I still crave for learning new tools, methods, business and literally anything that excites me.” Vidhya Veeraraghavan For
“The heterogeneity in their performance and price make it challenging to decide which API to use.” Machine learning as a service (MLaaS) is estimated at
This week the machine learning community had their handsful with OpenAI’s new toy GPT-3. Many enthusiasts applied the model for various innovative uses and few
Neural architecture search (NAS) deals with the selection of neural models for specific learning problems. NAS, however, is computationally expensive for automating and democratising machine
“My Kaggle journey took a lot of time, effort, computing power, frustration and sleepless nights, but mostly frustration.” For this week’s ML practitioners series, Analytics
Pixar’s “Toy Story,” was the first full-length computer-animated movie released back in 1995. According to an exclusive coverage by Insider, to render “Toy Story,” the
With the advent of APIs that offer state-of-the-art services a click away, setting up a machine learning shop has become more accessible. But with rapid
“Empathy, evidently, existed only within the human community, whereas intelligence to some degree could be found throughout every phylum.” ― Philip K. Dick Moral dilemmas
It is well established that machine learning models perform better with well-curated large scale data. However, collecting and curating is one of the biggest challenges
Ever since its release last month, OpenAI’s GPT-3 has been in the news for a variety of reasons. From being the largest language model ever
“This is a great opportunity to continue the synergistic virtuous circle’ that has connected neuroscience and AI for decades.” Artificial Neural networks occasionally get the
Reliance India Limited is one of the very few companies in the world that has been riding high amidst the pandemic. Be it the topping
“GANs and the variations are the most interesting idea in the last 10 years in ML.” Yann Lecun The potential of Generative Adversarial Networks (GANs)
Federated Learning was introduced to collaboratively learn a shared prediction model while keeping all the training data on the device. This enabled machine learning developers
According to a study, there will be more than 55 billion IoT devices by 2025, up from about 9 billion in 2017. Machine learning for
“All the impressive achievements of deep learning amount to just curve fitting.” Judea Pearl Machine learning in its most reduced form is sometimes referred to
The biggest concern for any machine learning developer is to figure if their models work outside their labs, in the real world, and in the
“To be at the top, one has to be aggressive, hardworking and creative.” Bac Nguyen Xuan For this week’s ML practitioner’s series, Analytics India magazine
It has become increasingly common to pre-train models to develop general-purpose abilities and knowledge that can then be “transferred” to downstream tasks. In applications of
This week, we saw a couple of key announcements from Google, followed by a mega announcement from one of the oldest startups in Silicon Valley.
According to a recent McKinsey study, legacy systems account for 74% of a company’s IT spend while hampering agility at the same time. Making fundamental
The environment and its underlying dynamics of all the reinforcement learning problems are typically abstracted as a Markov decision process (MDP). Because MDPs are useful
Now in its 37th year, ICML (The International Conference on Machine Learning) is known for bringing cutting-edge research on all aspects of machine learning to
“The IB’s model has glaring methodological issues and completely disregards the ethical considerations which should accompany its adoption.” The International Baccalaureate (IB), which has a
Weather conditions are usually spoken in terms of sunny or rainy. Simplification works fine for us, humans. But, if you task an autonomous system like
“We are up against a system that has veritably mastered ethics shopping, ethics bluewashing, ethics lobbying, ethics dumping, and ethics shirking.” The emergence of the
“Whenever you compete, you have to accept simple rules – someone wins, someone loses, and usually the winner takes it all.” For this week’s ML
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