AI Trends
Reporting, analysis and features from AIM's AI Trends section.
How Do Large Firms Train ML Models At Scale?
Microsoft's DeepSpeed abstracts difficult aspects of large scale learning such as parallelisation, mixed precision, and gradient accumulation.
Shraddha Goled ·
Guide to Robustness Gym: Unifying the NLP Evaluation Landscape
Aishwarya Verma ·
Top 12 ‘No-Code’ Machine Learning Platforms In 2021
Ambika Choudhury ·
Top 10 Python Packages With Most Contributors on GitHub in 2024
Ambika Choudhury ·
Neural Network Hyperparameter Tuning using Bayesian Optimization
The Bayesian statistics can be used for parameter tuning and also it can make the process faster especially in the case of neural networks. we can say performing Bayesian statistics is a process of optimization using which we can perform h…
Yugesh Verma ·
Top Laptops & Workstations For Data Scientists Released In 2021
This article will look at some of the best laptops and workstations released recently that are ideal for data scientists to work with.
Victor Dey ·
5 Data Labelling Projects That Impacted The AI Industry The Most
The article explores the emerging data labelling projects that are innovative pathways for human convenience.
Abhishree Choudhary ·
How to Use Learning Rate Annealing with Neural Networks?
Learning rate is an important parameter in neural networks for that we often spend much time tuning it and we even don’t get the optimum result even trying for some different rates.
Vijaysinh Lendave ·
Top Leadership Appointments In AI And Tech This Year
Look at some major AI, analytics and tech hirings that happened in 2021
Sreejani Bhattacharyya ·
How to Use Lambda Layer in a Neural Network?
the lambda layer has its own function to perform editing in the input data. Using the lambda layer in a neural network we can transform the input data where expressions and functions of the lambda layer are transformed.
Yugesh Verma ·
Can ReLU Cause Exploding Gradients if Applied to Solve Vanishing Gradients?
The exploding and disappearing gradient problems are the issues that arise when using gradient-based learning methods and backpropagation to train artificial neural networks.
Vijaysinh Lendave ·
When to Apply L1 or L2 Regularization to Neural Network Weights?
L1 and L2 regularization techniques can be used for the weights of the neural networks. using regularization of weights we can avoid the overfitting problem of the network
Yugesh Verma ·
Top Data Labelling Courses
The accuracy of the trained model depends on the accuracy of the ground truth, hence, spending the right amount of time and resources to ensure highly accurate data labelling is essential.
kumar Gandharv ·
Top Indian University-Industry Partnerships For AI In 2021
The following is a list of the leading research laboratories in Indian institutions that are advancing and innovating in artificial intelligence.
Dr. Nivash Jeevanandam ·
What Does A Top University Look For In A Student For MS In Data Science: Rutgers University
Students learn important theory and core concepts that allow them to be lifelong learners and practitioners of data science irrespective of what the current trendy tools are available now or will be available in the future.
kumar Gandharv ·
Large Tech Firms Prefer Building Their Own ML Components, Despite A Solution Available In Market
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.
Shraddha Goled ·
Top 5 AI IPOs Across The Globe In 2021
This article explores the top 5 AI companies that have enlisted in the stock markets across the globe
Abhishree Choudhary ·
Top AI-Based Initiatives Launched By NITI Aayog In 2021
This article looks into the top AI-based initiatives launched by central think tank NITI Aayog in the year 2021
Abhishree Choudhary ·
Top Language Models Released In 2021
The most recent advances in language modelling are described in research papers.
Dr. Nivash Jeevanandam ·
5 Must Read Books About Artificial Intelligence
Want to learn more about AI/ML this year? Check out these great books on AI fundamentals and applications.
Dr. Nivash Jeevanandam ·