AI Trends
Reporting, analysis and features from AIM's AI Trends section.
How is Maximum Likelihood Estimation used in machine learning?
Maximum Likelihood Estimation (MLE) is a probabilistic based approach to determine values for the parameters of the model. MLE is a widely used technique in machine learning, time series, panel data and discrete data.
Sourabh Mehta ·
Top initiatives taken to overcome Wikipedia challenges
Last month Facebook AI Research released its solution to increase the inclusivity of women in the biographies on Wikipedia.
Avi Gopani ·
Explainable image classification using Faster R-CNN and Grad-Cam
Grad-Cam is an algorithm applied with CNN models to make computer vision-based predictions explainable. In this article, we will discuss how we can simply apply Grad-CAM methods with the Faster R-CNN in the PyTorch environment and make the…
Yugesh Verma ·
Master analytics with this Senior Management Programme in Business Analytics by IIM-Calcutta
This programme by IIM-C combines strategic aspects of business analytics with relevant technology oriented operational aspects for actionable appreciation of analytics by senior management.
Sreejani Bhattacharyya ·
How can gradient clipping help avoid the exploding gradient problem?
Deep neural networks are vulnerable to the problem of vanishing and exploding gradients. This is especially true for Recurrent Neural Networks, which are commonly used (RNNs).
Vijaysinh Lendave ·
The mirror circuit versus cycle benchmarking method for quantum computation
"Mirror circuit" is a prototype hardware setup developed by Sandia National Laboratories to create faster and more accurate benchmarks for quantum computers.
sohini.das ·
Behind Indian Government Supported AI & Robotics Innovation Firm
If we can get self-driving cars to work on Silk Board in Bengaluru, it will work in the US, it will work in Europe, it will work in Elon Musk’s backyard as well.
Pritam Bordoloi ·
Saying No to Surveillance State
There are no clear structures or regulations in place that define how authorities should use technologies as controversial as a facial recognition system.
Pritam Bordoloi ·
There’s a Whole ‘Learn X in Y Minutes’ Industry
For job applicants about to attend full-stack interviews, crash courses can be a quick refresher.
poulomi.chatterjee ·
Is No-Code, Low-Code Really a Gimmick?
That there exist limitations to application scalability on low-code platforms is a fact
Zinnia Banerjee ·
Is Reddit Late to the Developers' Party?
The world’s leading social discussion forum has good news for Redditors with its new developers’ platform Devvitor, but do we sense a FOMO here?
bhuvana.kamath ·
Transparent and Decentralised: Web3 Search Engine in Making
Block explorer is a type of tool that can provide information on the contents of individual blocks and transactions that are found on a block chain.
tausif.alam ·
I Teach Computer Science, and I Apologise Lesser Now About Having So Much Maths
Mathematical and computer science experts simultaneously agree that solving problems in mathematics can equip students further in the industry.
Mohit Pandey ·
Could Astro Compete with Next.js to Become the Next Big Framework?
Astro lets developers find the sweet spot between static and dynamism; build fast-loading sites.
tausif.alam ·
Rooting for Dedicated Legislation in AI
India is part of the Global Partnership on Artificial Intelligence, which is guiding responsible development and use of AI
Zinnia Banerjee ·
Bun.js is the New Node.js Killer
Unlike Node and Deno, which work on V8, Bun uses JavaScript Core from Webkit.
tausif.alam ·
'Do As I Can, Not As I Say'
Google's new PaLM SayCan approach enables robots to understand high-level instructions that are feasible and contextually appropriate, provided by a language model and execute them correctly.
Zinnia Banerjee ·
Accuracy Isn’t the Best Metric for Imbalanced Data
While the module may yield 99% accuracy, would it be a success? Instead of a high percentage, reliability should be a focus.
lokesh.choudhary ·
Students from PES University come up with an AI that detects drunkenness
Deep learning is used to explore the changes in a person’s facial expression due to alcohol intoxication, making it a non-contact process for detection.
bhuvana.kamath ·
MongoDB’s Atlas Aims at Two Birds with One Stone
The CLI has streamlined Atlas’ workflow in a way that has made the onboarding experience much simpler for developers.
poulomi.chatterjee ·