Indian AI Startups Raised $836.3 Million In 2020

What’s Kubernetes Got To Do With GPT-3’s Success

CommentShare

We currently run 6 weekly features. These include startups, interviews, case studies etc. One of the weekly features is called The Hiring Process for Data Scientists, wherein we cover the end-to-end data science recruitment process at various firms in India.

This is our most-read, shared & appreciated feature. Last week we covered Capco. In the past 1 year, we have covered companies like Gojek, IBM, Mindtree, VMWare, Siemens, Wells Fargo, Schneider Electric, ThoughtWorks, Micron, Hitachi ABB Power Grids, PayU, HDFC Bank, ZS, Genpact, Aditya Birla Group, Concentrix, Fiat Chrysler Automobiles, Avast.

This is a treasure trove of information and is read by millions to date. If you wish to feature your organization, do write to us at info@analyticsindiamag.com.

Also, check our staffing services here.

1

Indian AI Startups Raised $836.3 Million In 2020

Despite the pandemic and the resulting lockdowns, the AI startups in India have attracted total funding of $836.3 million — the largest funding outlay in the last seven years at a 9.7% year-on-year growth — last year, a report by AIMResearch, titled Indian AI Startup Funding in 2020, showed.

The research also projects double-digit growth in the next 5-6 years, ushering in a period of consolidation and maturity of the Indian data science market.

2

What’s Kubernetes Got To Do With GPT-3’s Success

Microsoft backed OpenAI has delivered back to back blockbusters with GPT-3 and CLIP, DALL.E in a span of six months. However, these models are large.

“Scaling OpenAI’s infrastructure is unlike any what a typical startup does. So, even though they use familiar services like Kubernetes, the practices are unique to OpenAI. Today, many software service providers deploy Kubernetes for ease of operation but OpenAI claims to do it differently,” said OpenAI researchers.

3

Machine Learning, Indian Social Media’s Biggest Challenge Yet

If Whatsapp's dubious policies helped Signal, then Twitter’s selective censorship incentivised the likes of Parler and Koo. However, Twitter and Facebook are machine learning powerhouses tirelessly working on building scalable systems that can skim through petabytes of data being generated every day. The local spin-offs have their task cut out with an increasing user base.

4

Featured Video | Artificial intelligence is transforming Agriculture

It’s common knowledge by now that agrotech startups have started penetrating the Indian agriculture sector, but let’s look forward to some new innovations that we can expect from the agrotech community in the year 2021 in this week's episode of down the rabbit hole.

5

The Rise & Rise Of Linux Foundation

Currently, Linux Foundation is handling over 100 projects across sectors, including artificial intelligence, networking, security, and autonomous vehicles.

The organisation has further branched out into several subset foundations such as the Cloud Foundry Foundation, Open Source Security Foundation, and Cloud Native Computing Foundation.

In terms of budget and reach, Linux Foundation is far ahead of its peers, including Eclipse Foundation and Apache Software Foundation.

6

Hands-On Guides for ML Developers

+ Guide to MBIRL - Model Based Inverse Reinforcement Learning

+ Guide To GANSynth: An Adversarial Neural Audio Synthesis Technique

+ Mastering Atari with Discrete World Models: DreamerV2

+ Guide To Pastas: A Python Framework For Hydrogeological Time Series Analysis

+ Generating High Resolution Images Using Transformers

7

PEOPLE & STARTUPS

+ How Is Tata Elxsi Driving The Autonomous Vehicle Efforts In India

+ Director, Computer Science & Engineering, BML Munjal University

+ No-Code Will Have A Snowball Effect In Digital Landscape: Quixy CEO

+ Dr Alpan Raval, Head of Data Science At Wadhwani Institute for AI

+ Inside Agora’s Real-Time Engagement Platform

+ This IISc-Incubated Startup Offers Compiler Building Blocks For AI

+ The Rollercoaster Ride Of Impactsure Founders

+ Cybersecurity Startup Using AI To Automate Ethical Hacking

8

GPU Industry Is Priming For A Fattening Crypto Mining Market

The demand for GPUs has certainly proved to be profitable for companies even as they face shortages. Nvidia’s Q4 2021 earnings revealed that cryptocurrency, primarily Ethereum, miners contributed between 100 to 300 million of their five billion US Dollar revenue. However, the larger consumer base is still overwhelmingly the gaming community, who have been vocally displeased about the stock shortages.

To combat the problem, Nvidia is releasing a driver update along with their new RTX 3060 GPUs, enabling the cards to automatically detect the Ethereum mining algorithm and reduce GPU capabilities by 50% when in use.

9

Tech Firms Are Racing To Hire AI Ethicists

In the last few years, AI ethicists have become a critical role in the AI industry, with many organisations — both big and small — looking to hire AI ethics managers to keep their data sane.

Research suggests, about 30% of large companies in the US have taken up multiple AI projects and are already building and deploying AI applications. However, most organisations don’t have a specific plan to ensure Fair AI.

10

BOTTOM OF THE NEWS

Here's what all happened last week.

+ Pepper Content Launches GPT-3-based Content Creation Tool

+ NVIDIA Releases Pre-Trained Models & TLT 3.0 To Build AI With Faster Time-To-Market

+ AI-Startup Argoid Raises $1.7 Million In Funding Led By YourNest

+ Global Consulting Firm ZS To Recruit 3,000 Employees In India This Year

+ Raman Research Institute Achieves Breakthrough In Quantum Communication

CommentShare
← PreviousNext →