This week the United States sub-committee for antitrust has dished out five bills that can end the “monopolisation” of power by Google, Facebook, Apple and
When asked about his approach to data science problems, Sergey Yurgenson, the Director of data science at DataRobot, said he would begin by creating a
In machine learning research, it is a standard practice to figure out a baseline for a certain model through experiments and then improve variables to
Apple kicked off its latest edition of developers conference WWDC with privacy augmented reality in focus. Earlier this year, Apple introduced privacy labels to allow
“I only believe in statistics that I doctored myself.” For this week’s ML practitioner’s series, Analytics India Magazine (AIM) got in touch with Ingo Alzner,
“Model drifts are more common when models in high-stakes domains, such as air quality sensing or ultrasound scanning due to lack of curated datasets.” When
There is no dearth of sources when it comes to mastering machine learning. Now this is a problem too. Be it a book or a
Researchers making a racket about the paper review process have become a common sight at academic conferences. The old chestnuts being: How do reviewers judge
On Wednesday, mega Dutch investor Prosus announced that it has acquired Stack Overflow, for approximately US$1.8 billion. Stack Overflow, one of the 50 most popular
“Researchers seek new and more stimulating environments to tackle RL challenges with AndroidEnv.” Alphabet Inc.’s DeepMind has recently introduced AndroidEnv, an open-source platform for Reinforcement
“There is no single optimizer that dominates its competitors across all tasks.” Critics often call machine learning ‘glorified statistics’. There is some merit to the
“Model-based methods rely on planning as their primary component, while model-free methods primarily rely on learning.” Sutton& Barto, Reinforcement Learning: An Introduction In the context
A typical MRI scan can last 40 to 60 minutes. Additionally, clinicians have to spend up to an hour gathering sufficient data for a diagnostic
Microsoft kicked off its annual developer’s conference, Microsoft Build. The event, which had gone virtual for the second consecutive year, flooded the event with all
“87% of data science projects never make it into production.” The machine learning community is now gearing up for a new challenge–deployment. But why so
This week, Google kicked off its flagship I/O event and made some interesting announcements especially about machine learning and artificial intelligence. “I/O has always been
“Malicious uses of models can be difficult to anticipate because they can be repurposed in a very different environment or for a different purpose than
Trying to predict algorithmic inputs from data leads to a bottleneck, thanks to the uncertainties of the real world. Real-time data can be noisy. This
“I asked Geoffrey Hinton to take me on as a student, but he said he was too busy. ” For this week’s ML practitioner’s series,
The Technoking of Tesla, Elon Musk has taken an u-turn on Bitcoin after months of hyping it up. Earlier this year, Musk’s Tesla bought $1.5
Last week, researchers at the University of Virginia exposed Intel and AMD’s chips to a Spectre attack. Though Spectre has been in news since 2018,
“The big tech is banking heavily on AI, Cloud and 5G technologies to retain customers and drive growth” A global emergency can smother your business,
In 1620, a ship named Mayflower left the shores of London carrying around 130 people in cramped up decks. After months of voyage in harsh
“Try to pick an AI problem that you are really passionate about (Whether it is computer vision, chatbots, robotics, games or anything) and try to
“Training GPT-3 with 175 billion parameters would require approximately 36 years with 8 V100 GPUs.” Training large machine learning models calls for huge compute power
MLOps has been introduced to provide an end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable ML-powered software. MLOps allowed
After demonstrating telepathic powers in a primate, Neuralink has another surprise. The company’s co-founder Max Hodak parted ways with the company. Hodak founded the brain-chip
This week saw the big tech come to India’s rescue as the subcontinent is among the nations worst hit by COVID-19’s second wave. From million
“Specifying a reward function can be one of the trickiest parts of applying RL to a problem.” DeepMind At the heart of a successful reinforcement
“To let anyone upload a video to show anyone else in the world, for free takes a lot of processing power.” The pandemic turned out
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