AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Exploring Graph Neural Networks
Data Scientists at CRED, Ravi Kumar and Samiran Roy explained the essence of using graph neural networks and how the emerging technology is being utilised by CRED.
Victor Dey ·
Cold-Start Problem in Recommender Systems and its Mitigation Techniques
The recommender systems face a problem in recommending items to users in case there is very little data available related to the user or item. This is called the cold-start problem.
Vijaysinh Lendave ·
How to Visualize and Debug Machine Learning Models using ELI5?
From this post you will come to know how particular predictions are being made and how models focus on various aspects of parameters it has learned.
Vijaysinh Lendave ·
Different Types of Noises and Image Denoising Methods
Here we will discuss how Convolutional Neural Networks and Autoencoders are used to denoise an image.
Vijaysinh Lendave ·
Are Larger Language Models Less Truthful?
Researchers at the University of Oxford and OpenAI have recently created a dataset called TruthfulQA that contains questions some humans might answer incorrectly due to false beliefs or misconceptions.
Victor Dey ·
Become A Thought Leader In AI And ML
World’s largest executive doctoral program & world’s only executive doctoral program in data science.
AIM Media House ·
Interpretable Student Performance Predictions
This is one of the top voted thesis papers from upGrad's online working professional programs in partnership with one of the UK's leading universities.
Manjari.Chitti ·
Five Things To Keep In Mind When You Work On Your Next ML Project
This paper covers five stages of the machine learning process: what to do before building the model, reliably building model, model evaluation, fairly comparing models, and reporting the results.
Shraddha Goled ·
Why Are Apple’s Researchers Interested In Neural Network Subspaces?
Neural network subspaces contain diverse solutions that can be ensembled, approaching the ensemble performance of independently trained networks without the training cost.
Ram Sagar ·
Former Amazonian Charlie Bell Takes Over Microsoft’s Security Arm
Charlie Bell will be assuming his new role after a 23-year stint with Amazon AWS, where he oversaw engineering, operations, and product development.
Shraddha Goled ·
React 18 Announced: Key Features Expected
React’s official website announced a new update to be launched for React, the React 18. Although with no specific release date announced and being available only in alpha, React 18’s latest release additions seem very promising.
Victor Dey ·
A Tutorial on Spectral Feature Extraction for Audio Analytics
Any audio file consists various type of spectral features like spectral centroid, spectral bandwidth, spectral contrast etc. extraction of this features can be useful in audio data learning.
Yugesh Verma ·
What is the Plateau Problem in Neural Networks and How to Fix it?
This post explains most underlined Plateau phenomenon and it's remedies which is related to optimization of ML model.
Vijaysinh Lendave ·
All You Need to Know About Gaussian Mixture Models
In the field of unsupervised learning, probabilistic models which represent the probability of the presence of clusters within the overall population can be considered as mixture model.
Yugesh Verma ·
Everything-as-a-Service (XaaS): The All In One Cloud Model
Everything-as-a-Service, or XaaS, is an amalgamation of several products, tools and abilities that are deliverable to the user as a service. XaaS delivers services over the cloud instead of on-site software implementations, which gives bus…
Victor Dey ·
A Primer To Blockchain Analytics and Top Tools in 2021
Blockchain Analytics are a series of processes that include understanding, classifying and monitoring blockchain transaction data that help understand the activities of various actors on the blockchain.
Victor Dey ·
How to Address Drift Problems in Time-Series Forecasting Models?
This post discuss about how identify drift in dataset, how it evolve, it's various types, and how we can address it.
Vijaysinh Lendave ·
Top 8 Indian Startups Working On Metaverse
As smartphones are set to touch one billion Indians in the next five years, we hope India will become a land of not only gamers, but also creators, building an 'atmanirbhar' metaverse.
Amit Naik ·
Top Devices On Edge Computing Launched This Year
Edge Computing is a distributed computing architecture where the computing process takes place near the user's physical location or at the source where the data originates. Edge computing reduces the distance between the physical device an…
Victor Dey ·
Application Of Data Science In The School Education Sector
The objective of the study is to employ data science in an attempt to find solutions to some of the hard-pressing and long-pending problems of the school education sector.
Praxis.Business.School ·