The internet giants Twitter and Facebook were in the news again, for the same reason– their dubious online gatekeeping activities, which were allegedly exposed especially,
In June, IBM’s CEO Arvind Krishna wrote, in a letter to Congress that IBM firmly opposes and condones the use of facial recognition technology for
“Neural networks represent the beginning of a fundamental shift in how we write software. They are Software 2.0.” Andrej Karpathy The current coding paradigms nudge
“What do data-rich models know that models with less pre-training data do not?” The performance of language models is determined mostly by the amount of
Ever got stuck with a tune but couldn’t name the song? We all have been there. It’s called an ‘earworm’. It doesn’t go away until
“Amazon’s cloud-based voice service Alexa powers Amazon Echo devices and more than 140,000 models of smart speakers, lights, plugs, smart TVs, and cameras.” At last
“When a measure becomes a target, it ceases to be a good measure.” GoodHart’s Law Stochastic Gradient Descent (SGD) has been responsible for many of
“Majority of Data Scientists I have met do not have formal data science education.” For this week’s ML practitioner’s series, Analytics India Magazine got in
In this week’s top news, Analytics India Magazine compiled most happening events from the tech world ranging from companies tussles with governments, new launches, acquisitions,
The job of compilers is to translate programming languages written by humans into binary executable by computer hardware. Compilers run on large complex, heterogeneous, non-deterministic,
“Netflix and Amazon compete to provide the customers with best recommendations. But algorithm feedback dynamics could lead to real problems.” Algorithms competing to recommend a
“An advantage to concealing speech and not text is preservation of non-lexical content such as speaker identity.” Steganography is derived from the word “steganos” meaning
“What makes a game interesting enough for an AI agent to learn to play?” For many years, efforts have been made to teach artificial intelligence
“Are easy-to-interpret neurons actually necessary? It might be like studying automobile exhaust to understand automobile propulsion.” Understanding the underlying mechanisms of deep neural networks (DNNs)
For this week’s ML practitioner’s series, Analytics India Magazine got in touch with Hiroki Yamamoto (tereka), a Kaggle Master. Hiroki is currently working as a
As the world watched American election drama unfold, the stock market was rallying in favor of big tech. The internet companies which were under fire
The pandemic forced the corporate world to abandon their offices and work from home. As a matter of fact, the in-person meetings were replaced by
Machine learning is mostly about building good function approximations from data. And, when it comes to good approximations, deep learning algorithms have a great following
“The art of knowing is knowing what to ignore” -Rumi, Persian poet In a paper selected for NeurIPS 2020, the researchers at IISc Bangalore, discuss
“Using Dask, RAPIDS, BlazingSQL, and NVIDIA GPUs, researchers are leveraging Summit supercomputers from their laptops.” Working on data-intensive projects like protein folding research, drug discovery,
Last week, the AI enthusiasts were served with two of the biggest goof-ups on live TV that left many in splits. These two events, though
“DevOps is not a product that you can buy and install.” Pulkit Agarwal, GitHub. After productive and informative Day 1, ADasSci’s Deep Learning Developers Conference
In the last week’s top news, we briefed about the AMD-Xilinx rumor mill. And, it turned out to be true. AMD bagged their rival Xilinx
Machine learning has shown significant improvement in healthcare. Researchers have developed models that can diagnose critical conditions like diabetic eye disease or metastatic breast cancer.
On Tuesday, AMD announced that it would be acquiring Xilinx in an all-stock transaction valued at $35 billion. Advanced Micro Devices(AMD) specialises in making chips
The key component of the transformer architecture is the attention module. Its job is to figure out the matching pairs (think: Translation) in a sequence
Rome was not built in a day, nor were the data centres. Picking the real estate, power and cooling plant installations, server installations take months
“Double descent does not happen through depth.” The double descent curve, tells that increasing model capacity past the interpolation threshold can lead to a decrease
Image captions explicitly rely on grounded language. However, grounded language has a large discrepancy for other kinds of natural language. Existing language pre-training frameworks are
For this week’s ML practitioner’s series, we got in touch with Kaggle Grandmaster Martin Henze. Martin is an astrophysicist by training who ventured into machine
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