Tech Companies Helping India Battle Covid Crisis

The Belamy | Top AI stories from last week.

The 3rd edition of our annual Women in AI conference - Rising 2021 is scheduled for May 21-22, 2021. 

This is the last week to book your early bird passes. Prices to Increase by 50% on 7th May. Book your passes here

Also, have you checked the Practice segment at MachineHack.com

The platform provides a ready environment, an IDE and code, for a data science learner to practice basic machine learning algorithms. The platform is free for all learners to come in and start coding in an easy, intuitive way.


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Data Science Faculty Awards 2021

Analytics India Magazine’s inaugural SKILLUP summit concluded on April 23. The two-day virtual event drew the attention of academics, industry experts and students alike. On the last day of the edu fair, AIM honoured distinguished faculty members in the field of data science. The awards celebrate excellence in data science/ analytics/ machine learning/ AI pedagogy.


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Tech Companies Helping India Battle Covid Crisis

As India gasps for breath in the face of the second Covid wave, tech companies, including Google, Microsoft, Apple, Facebook, Amazon, and Twitter, have come to the rescue of hundreds and thousands of Indians.

Understanding the gravity of the situation, many tech companies, both Indian and global, have extended their support to help Indians.


3

Is China’s Big Tech A Frankenstein In Making?

This month, China slapped a $2.8 billion (¥18 billion) fine on Alibaba for violating antitrust laws. Earlier, the Chinese government had abruptly suspended the $37 billion IPO of Alibaba’s digital finance arm, Ant Group, after Jack Ma had a go at the Chinese regulatory system in October 2020.

So, what are the implications of a shift in Beijing’s approach to dealing with Big Tech and how it would push back China’s efforts to achieve AI supremacy.


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Featured Video | How the Tech Giants are helping in India's Fight against Covid19


5

Chips That Power Your Vlogs

Running a global platform like YouTube is a complex and demanding task. The infrastructure team’s job is to get videos ready for you to watch through a process called transcoding. Transcoding is the process of compressing videos so that the smallest amount of data is sent to the device with the best possible quality. 

The team at YouTube created a new system for transcoding video more efficiently at data centres. They developed a custom chip to transcode video, and software to run it– the Video (trans)Coding Unit (VCU).


6

Hands-On Guides for ML Developers

Understand Basic Concepts of Graph Theory With Python Implementation

How Score-Based SDE Excels In Generative Modeling

Automate Your ML Pipelines With EvalML

Complete Guide to Goodness-of-Fit Test using Python

Guide To Video GPT: A Transformer-Based Architecture For Video Generation


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PEOPLE & STARTUPS

Bangalore-Based Startup Using AI & IoT To Modernise Fleet Management

Kriti Mittal & Varad Pande, Omidyar Network India

Why Are Data Labelling Firms Eyeing Indian Market?


8

Decoupling Software-Hardware Dependency In DL

For at least three decades, the AI community has patiently waited for Moore’s law to catch up. With the advent of GPUs, TPUs and other exotic silicon supplements, research accelerated. Machine learning models became more efficient. But, this efficiency came at a cost. The models got larger.

For instance, language models with billion parameters like GPT and BERT outperformed other models. As the research moved from labs to enterprises, the heft of such models has started to become an issue. Smaller organisations have no other option than to rely on pre-trained models or use licensed versions like in the case of OpenAI’s API, which gives access to its powerful GPT-3 model.  

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9

Open Source Triumphs Again

The freezing weather on Mars makes it difficult for flying things around. But, NASA’s JPL team did what they do best. They flew a helicopter named “Ingenuity” on the planet, a feat now considered to be equivalent to Neil Armstrong’s first step on the moon.

Mars’s thin atmosphere—with an atmospheric volume of less than 1% of Earth—poses a challenge to flying a helicopter. So, NASA’s Jet Propulsion Laboratory (JPL) had to keep Ingenuity light; below four pounds (1.8kg) to be exact.

While the 6,000 strong-team of NASA’s JPL engineers made sure that Ingenuity is airtight, a large pool of developers(~12,000)–most of them unknowingly– have joined hands to build the guidance software that tells the helicopter where to go.


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BOTTOM OF THE NEWS

Here's what all happened last week.

IIT Bombay’s Atma-Nirbhar Bharat Approach To Generate Oxygen Amid Crisis

Salesforce CEO Announces To Send Medical Supplies To India

Omnichannel AI Chatbot To Fight India's COVID-19 Crisis

Data Scientist Creates Python Script To Track Available Slots For Covid Vaccinations

Paytm Announces To Airlift 21000 Oxygen Concentrators

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