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This AI Paper from China Introduces SegMamba: A Novel 3D Medical Image Segmentation Mamba Model Designed to Effectively Capture Long-Range Dependencies within Whole Volume Features at Every Scale

AI NewsFebruary 4, 2024123Views 0Likes 0Comments

Enhancing the receptive field of models is crucial for effective 3D medical image segmentation. Traditional convolutional neural networks (CNNs) often struggle to capture global information from high-resolution 3D medical images. One proposed solution is the utilization of depth-wise convolution with larger kernel sizes to capture a wider range of features. However, CNN-based approaches need help…

Advanced ETL Techniques for Beginners | by 💡Mike Shakhomirov | Feb, 2024

Data ScienceFebruary 4, 2024289Views 0Likes 0Comments

On a scale from 1 to 10 how good are your data ingestion skills? Photo by Blake Connally on UnsplashData ingestion is a crucial step in data engineering. Data engineers load huge amounts of data into various database systems for further transformation and processing. While dealing with relatively small amounts of data on staging we…

Learn with LinkedIn: Free Courses About AI

Data AnalyticsFebruary 3, 2024127Views 0Likes 0Comments

Image by DALLE LinkedIn is a professional networking site that has allowed professionals to connect around the world, land amazing jobs, and continuously keep you in the loop with your sector. But now you can also gain some amazing resources from them with their free courses. And as we know everybody is going…

This AI Paper from NTU and Apple Unveils OGEN: A Novel AI Approach for Boosting Out-of-Domain Generalization in Vision-Language Models

AI NewsFebruary 3, 2024124Views 0Likes 0Comments

Large-scale pre-trained vision-language models, exemplified by CLIP (Radford et al., 2021), exhibit remarkable generalizability across diverse visual domains and real-world tasks. However, their zero-shot in-distribution (ID) performance faces limitations on certain downstream datasets. Additionally, when evaluated in a closed-set manner, these models often struggle with out-of-distribution (OOD) samples from novel classes, posing safety risks in…

Google Deepmind and University of Toronto Researchers’ Breakthrough in Human-Robot Interaction: Utilizing Large Language Models for Generative Expressive Robot Behaviors

RoboticsFebruary 3, 2024177Views 0Likes 0Comments

Numerous challenges underlying human-robot interaction exist. One such challenge is enabling robots to display human-like expressive behaviors. Traditional rule-based methods need more scalability in new social contexts, while the need for extensive, specific datasets limits data-driven approaches. This limitation becomes pronounced as the variety of social interactions a robot might encounter increases, creating a demand…

4 Airflow Internals You Probably Don’t Know About

Data ScienceFebruary 3, 2024125Views 0Likes 0Comments

Four Apache Airflow internals you might have missed Image generated via DALL-EI have been working with Airflow for more than three years now and overall, I am quite confident with it. It’s a powerful orchestrator that helps me build data pipelines quickly and in a scalable fashion while for most things I am looking to…

5 Free University Courses to Ace Coding Interviews

Data AnalyticsFebruary 3, 2024116Views 0Likes 0Comments

Image generated with Segmind SSD-1B model Given how competitive the tech job market is right now, you should constantly upskill and improve your technical chops. For any role in data and software engineering, the interview process typically starts with a round or two of coding interviews. While projects and technical expertise will help…

Real-Time Anomaly Detection For Quality Control | by Anthony Cavin | Feb, 2024

Data ScienceFebruary 3, 2024126Views 0Likes 0Comments

Insights after two years in the industry Example of an encoder and a graph in the latent space (image by author)The scenario: a high-speed production line is producing thousands of products. Two cameras are installed to continuously control the quality of each product. The goal: develop an algorithm that can check each product as fast…

Converting JSONs to Pandas DataFrames: Parsing Them the Right Way

Data AnalyticsFebruary 3, 2024121Views 0Likes 0Comments

Image by Author Diving into the world of data science and machine learning, one of the fundamental skills you'll encounter is the art of reading data. If you have already some experience with it, you're probably familiar with JSON (JavaScript Object Notation) - a popular format for both storing and exchanging data. Think…

Top Evaluation Metrics for RAG Failures | by Amber Roberts | Feb, 2024

Data ScienceFebruary 2, 2024144Views 0Likes 0Comments

If you have been experimenting with large language models (LLMs) for search and retrieval tasks, you have likely come across retrieval augmented generation (RAG) as a technique to add relevant contextual information to LLM generated responses. By connecting an LLM to private data, RAG can enable a better response by feeding relevant data in the…