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One of the bigger challenges we face today is the education about what AI/ML solutions can and cannot do for businesses today.
Andrej Karpathy wrote a very compelling Twitter thread last week, making an argument about the consolidation of AI model architecture.
All four judges unanimously selected Online Learning for Latent Dirichlet Allocation as the winner
Technology is like a vehicle; it has both an accelerator (innovation) and a brake (governance/security/regulation). The brake gives the confidence to increase the speed gradually and responsibly.
The Olympiad received over 1000 registrations from across the country. After undergoing a stringent qualifying round, 250 participants were selected, of which the top ten got an opportunity to give an in-person presentation at Shiv Nadar University, Delhi NCR before an eminent jury panel.
For those attending MLDS for the first time, consider this article as a peep into what you are in for!
It is the first time that AI/computer is being used to seek out patterns. Researchers believe that this could benefit other areas of maths that involve large datasets.
Widely referred to as Responsible AI, the concept has been around for the longest time but has recently become a mainstream conversation point.
Dipesh Lakhotia previously worked at BRIDGEi2i Analytics Solutions as the Director, a post he served at for eight months.
“AI needs to be brought back down to earth. It has been elevated to a superhuman level, which leads us to believe it is inevitable and beyond our control.”
At the ongoing AWS re:Invent 2021 event, Sivasubramanian presented some of the most intriguing launches from AWS on the machine learning front.
While Adam Selipsky’s speech made some groundbreaking launches, it largely stuck to the conservative path.
I have always been interested in real-world impact. So, I decided to pursue a career which would allow me to apply ML to various applications
This article lists some of the datasets open-sourced by big tech companies in 2021
Achal Kataria has joined Cognizant as the vice president and country head (India). Kataria succeeded Anantharaman
Parag Agrawal has been a driving force behind the platform’s AI and machine learning efforts. We trace some of his initiatives.
The main job of an activation function is to introduce non-linearity in a neural network.
The data engineering team at Sigmoid is responsible for creating automated data pipelines, helping transition from on-premise to the cloud in a cost-effective way, and more.
Based on the announcement, and trends in the cloud industry, among other factors, we predict what will happen at the AWS re:Invent event.
Soon after Gebru was fired, Samy Bengio wrote a Facebook post saying, “I stand by you, Timnit.”
Digital transformation is the application of technology to improve productivity, making businesses more effective and efficient.
Introduced in 2017, Uber’s Michelangelo has been in the works for two years. The goal behind building a proprietary ML-as-a-service platform is to make AI scaling as easy as booking a ride.
Given the circumstances, it would take SingleStore a lot of time to replace giants like Snowflake and Databricks, but it sure benefits from their intense rivalry.
Despite its seemingly simple definition, the interpretation of p-value is considered to be extraordinarily difficult because it is not a part of any formal system of statistical inference.
Analytics India Magazine is set to host the fourth edition of the highly coveted Machine Learning Developers Summit (MLDS)
In the latest update, accused Srikrishna Ramesh, who was let out on bail, has gone incommunicado.
While it is a great technological innovation, FRT is often seen as a tool for surveillance and breach of privacy in the name of increased security.
In this article, we discuss some important innovations and announcements from big tech companies in 2021.
NVIDIA, a pioneer in graphics processing units, has expanded its horizon and achieved a disruptor status in the field of artificial intelligence too.
The opacity of NLP models, in particular, makes training and deployment of models like T5 and GPT-3 extremely difficult since they are opaque in their knowledge representation and backing claims with provenance.
Join the forefront of data innovation at the Data Engineering Summit 2024, where industry leaders redefine technology’s future.
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