AI Trends
Reporting, analysis and features from AIM's AI Trends section.
When not to remove outliers from data?
Outliers are not always the extreme data points.
Sourabh Mehta ·
Building a question-answering model with FNet Encoder
The FNet Encoder is based on the Fourier transform
Sourabh Mehta ·
Top goof-ups by AI models
Satya Nadella, the CEO of Microsoft, summarised the Tay incident as a teaching moment and stated that Tay had changed the mindset of Microsoft's approach toward AI.
kartik.wali ·
75 massive tools launched at AI Defence Exhibition
Another 100 projects are in various stages of development
tasmia.ansari ·
Tensorflow weight clustering API - An optimization toolkit for heavy-weight models
The weight clustering API is one of the use cases of the Tensorflow model optimization library and it aims to optimize the models developed so that they can be easily integrated into edge devices.
darshan.m ·
How is gradient descent used in unsupervised learning problems?
Gradient Descent is primarily used in Neural Networks for unsupervised learning
Sourabh Mehta ·
MLOps Maturity Model - A benchmark for effective ML models in production
The MLOps maturity model is a key component of the MLOps.This article aims to explain the MLOps maturity model and its importance in the production environment.
darshan.m ·
Addressing the issues of dropout regularization using DropBlock
DropBlock solves the problem of random dropout.
Sourabh Mehta ·
The Real Reason Robot Rights Is So Contentious
The selective application of universal tenets of humanity is a collective concern. What then is the relevance of debates about robot rights?
sri.krishna ·
This Robot used Dreamer Algorithm to Learn Walking in 60 Minutes
the Dreamer algorithm could learn from small amounts of interaction through planning in a learned world model and, in turn, outperform pure reinforcement learning in video games.
kartik.wali ·
Why is everyone afraid of false negatives?
darshan.m ·
Best Coding Practice Sites in 2024
These platforms provide level-specific challenges, assessments, quizzes and interview guidance to help professionals obtain prestigious tech jobs and excel in their subsequent roles
Sreejani Bhattacharyya ·
How does Mean Average Precision (mAP) work in Object Detection?
Mean average precision is the mean of precision-recall tradeoff
Sourabh Mehta ·
How to build a robust logistic regression model with L2 regularization?
L2 regularization is like leash on Logistic Regression to prevent overfitting
Sourabh Mehta ·
TensorFlow Probability - A tool to build deep probabilistic models
This article has explained the importance of Tensorflow probability and its working principle. It has also explained the working principle of Tensorflow probability and its importance in the context of TensorFlow modelling.
darshan.m ·
Top 9 IIM Programmes for Data Science Professionals.
As per an AIM Research report, Indian open analytics jobs have increased by 73.5 per cent from March 2020 to April 2022
tasmia.ansari ·
Top 9 Open Source Graph Databases in 2024
These open-source graph databases come with high performance, scalability, and integrability.
Mohit Pandey ·
Nominations open for top AI startups in India - 2022
AIM comes with a list of exceptional startups leading the AI race every year. This year we are expanding the scope by reaching out to hundreds of startups and asking them to fill out a survey form.
Kashyap Raibagi ·
All you need to know about log loss in machine learning
The log loss function measures the cross entropy of the error between two probability distributions
Sourabh Mehta ·
What is cosine similarity and how is it used in machine learning?
This article explains the concept of cosine similarity and how it is used as a metric for evaluation of data points in various applications.
darshan.m ·