In a first of its kind survey conducted in India, we plan to analyse the current state of Responsible AI in India . The objective is to get an overview of the various efforts made by the Indian AI industry on responsible AI and where it is currently lacking.
Please participate in this survey here.
The 2021 nominations for Analytics100 awards is open now. This prestigious award celebrates the most influential analytics leaders in India. Nominations for Analytics100 can be submitted by CXOs, head of Analytics, internal or external PR representatives.
Share your nominations here.
India A Hotspot For Data Labelling Services
Many companies outsource data labelling and annotation so the data scientists can focus on algorithm development and avoid project delays. India has emerged as the top outsourcing destination for data labelling for apparent reasons.
Since data labelling is a process-driven task, even a person with a high-school education can pick up the required skills. The market for data annotation and labelling is exploding in India.
GPT-3’s Cheap Chinese Cousin
Chinese company Huawei has developed PanGu Alpha, a 750-gigabyte model that contains up to 200 billion parameters. It is being touted as the Chinese equivalent of GPT-3 and is trained on 1.1 terabytes of Chinese language ebooks, encyclopedias, news, social media posts, and websites.
Europe & The Dream For Ethical AI
In the face of a growing chorus of criticisms and fears over the outsized power of AI, the European Commission has proposed its first legal framework on artificial intelligence.
The proposed regulations will cover EU citizens as well as companies operating in the area. As per the European Commission, the regulation aims to develop ‘human-centric, sustainable, secure, inclusive and trustworthy AI.’
Featured Video | Facebook adds common sense to Computer vision and more..
How To Take Full Advantage Of GPUs In Large Language Models
Language models have grown at a great pace. In a span of two years, the parameter count went from billions to a trillion. The memory on a single GPU falls short when training these large models. This is the reason researchers at NVIDIA and others have tried parallelism strategies.
For example, model parallelism enables splitting up of the parameters across multiple GPUs. Most of the model parallelism techniques are either difficult to use or scale.
Hands-On Guides for ML Developers
PEOPLE & STARTUPS
Open-Source Is Here To Stay
Open-source software has picked up momentum lately—especially in the wake of the COVID-19 pandemic. Despite the global economic slowdown, the open-source market gathered steam in 2020 to meet remote organisational needs.
As per GitHub, open-source project creation per any active user between late April 2019 and late April 2020 saw over 40 percent YOY growth.
Why Is IBM Acquiring This AIOps Firm?
IBM is all set to acquire Turbonomic, the latest in a string of cloud computing acquisitions by the tech giant. Boston – based Turbonomic is an AI-powered application resource management company. The acquisition will help IBM boost its full-stack application observability and management efforts to ensure better performance and minimise cost using AIOps.
BOTTOM OF THE NEWS
Here's what all happened last week.