AI Trends
Reporting, analysis and features from AIM's AI Trends section.
How To Run Python Code Concurrently Using Multithreading
Multithreading in Python enables CPUs to run different parts(threads) of a process concurrently to maximize CPU utilization.
Aditya Singh ·
Free Online Resources To Get Started On Cloud Computing
AWS offers various courses on cloud computing, including AWS Cloud Practioner Essentials, Getting Started with Cloud Acquisition, AWS Technical Essentials, AWS Cloud Financial Management for Builders, etc.
kumar Gandharv ·
What Are Prototypical Networks?
Prototypical networks are more efficient than the recent meta-learning algorithms, making them an appealing approach to few-shot and zero-shot learning.
Ambika Choudhury ·
Facebook’s New Dataset To Make Facial Recognition Models More Inclusive
Facebook AI introduced a new dataset, Casual Conversations, to measure the robustness of AI models.
Ambika Choudhury ·
Perform Agglomerative Hierarchical Clustering Using AGNES Algorithm
AGNES (Agglomerative Nesting) is one of the most popular hierarchical clustering algorithms used in data mining.
Nikita Shiledarbaxi ·
Creating Web Applications Using PyWebIO
PyWebIO is a python library for creating web applications that turns your browser into a rich text terminal.
Aditya Singh ·
What Happened When Google Threw All Voice Data To The Blender. Answer: SpeechStew
SpeechStew model is trained on a combination of datasets to achieve state-of-the-art results on various speech recognition benchmarks.
Shraddha Goled ·
The 10 Best Python Web Development Frameworks in 2024
Python frameworks have emerged as the go-to solution for developers to achieve their goals, with fewer lines of code.
Ambika Choudhury ·
Reptile: OpenAI’s Latest Meta-Learning Algorithm
Reptile utilises a stochastic gradient descent (SGD) to initialise the parameters of the model instead of performing several computations that are often resource-consuming.
Amit Naik ·
Tech Behind Google’s New CNN, EfficientNetV2
EfficientNetV2 can train up to 11x faster than prior models, while being up to 6.8x smaller in parameter size.
Ambika Choudhury ·
Make Machine Learning Interpretable With Shapash
Shapash is a Python library that aims to make machine learning models trustworthy for everyone by making them more transparent and easy to understand.
Aditya Singh ·
Real-time GUI Interactions with OpenCV in Python
OpenCV's interactive GUI receives inputs from the user through windows by creating trackbars and reading mouse movements and keyboard taps.
Rajkumar Lakshmanamoorthy ·
Julia 1.6 Released: Major Updates & Latest Features
Julia is one of the fastest open-source computing languages for numeric computing applications.
Ambika Choudhury ·
Perform Time Series Analysis And Forecasting Using R Programming Language
This article illustrates how to perform time-series analysis and forecasting using the R programming language.
Nikita Shiledarbaxi ·
10 Best Online Resources To Learn NumPy
Check out the 10 best resources available online to learn NumPy.
Ambika Choudhury ·
Deep Dive Into Scorecard Development for Banking Industry
A scorecard is a risk scoring tool used to evaluate the level of risk associated with applicants.
Rohit Garg ·
Step-By-Step Introduction To Python Decorators
Python Decorator enables developers to modify or extend a function or class’s functionalities by wrapping it using a single line of code.
Aditya Singh ·
How Point Transformer Excels In 3D Image Processing
Point Transformer reaches a new milestone in various public 3D image datasets by outperforming the present strongest models
Rajkumar Lakshmanamoorthy ·
Model Compression Is The Big ML Flavour Of 2021
Model compression is a technique of deploying state-of-the-art deep networks in devices with low power and resources, without compromising much on the accuracy of the model.
Shraddha Goled ·
Top AI & Analytics Appointments At Major Tech Firms In 2021
Check out the new hires at tech companies in 2021.
Satavisa Pati ·