AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Top Developments in Blockchain in 2022
In September, the IMF released a report stating that ‘more than half of the world’s central banks are exploring or developing digital currencies’
poulomi.chatterjee ·
12 Tech Leadership Appointments in 2022
Amid the mass layoffs, tech giants underwent major leadership changes.
tasmia.ansari ·
7 Must-Know Algorithms in ML
Algorithms for training machine learning models, including neural networks, Bayesian inference, and probabilistic inference
Mohit Pandey ·
10 Gifts For Your Tech Bros
Are you looking for last-minute gift ideas?
tasmia.ansari ·
8 Best Resources to Learn About Diffusion Models
Diffusion-based models have been on the rise in 2022 and here’s where you can start learning more about them
Mohit Pandey ·
What Makes Linux the Go-to System for AI/ML Development?
Notwithstanding the ‘elitist’ moniker the community has earned, learning Linux has become considerably easier over the years
poulomi.chatterjee ·
9 Best Tools for Swift Developers
These tools help write better code, automate a lot of work, and are also helpful for a lot of other use cases for Swift developers
Mohit Pandey ·
9 Best Tools for Go Developers
The modern and minimalist language has been gaining popularity among developers in the recent years
Mohit Pandey ·
7 Essential Rust Tools Worth Trying
Working with the most liked language made easy!
tasmia.ansari ·
9 Best Tools for Python Developers
Here's a list of all the best tools Python developers deserve!
Aparna Iyer ·
Can Conversational AI Help Government Departments?
The government can leverage conversational AI in outbound calls in order to understand what the target population is looking for.
lokesh.choudhary ·
Another So Called ‘Fast’ JS Framework, But Is It Better Than Next.js
Remix allows developers to render code on the server which tends to result in better performance and search optimization.
tausif.alam ·
Is Reinforcement Learning Still Relevant?
While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence
Mohit Pandey ·
All About Alexa’s New Language Understanding Model
The new language model from Amazon is a large-scale multilingual model, pre-trained on a set of denoising and Causal Language Modelling (CLM) tasks
Shraddha Goled ·
A deep dive into MeanIoU - An evaluation metric for object detection
MeanIoU calculates the overlapped space.
Sourabh Mehta ·
Tensorflow Lattice- A framework for monotonic models with varying data
Tensorflow lattice modelling aims to obtain a more reliable and generic model which perfroms phenomanally when taken up for testing for similar kind of data it is trained upon.
darshan.m ·
When to use negation handling in sentiment analysis?
Negation is a language strategy for changing text polarity
Sourabh Mehta ·
When does a neural network fail to converge?
There can be various reason behind a neural network fails to converge. failure in convergence can make us confuse about the model results.
Yugesh Verma ·
Top Q and A forums for AI and ML practitioners
Reddit is one of the most popular communities one can explore to solve their queries.
Sreejani Bhattacharyya ·
How to ensure privacy of training data with Tensorflow Privacy?
Yugesh Verma ·