- Sat. Nov 30th, 2024
Latest Post
This AI Paper Introduces RTMO: A Breakthrough in Real-Time Multi-Person Pose Estimation Using Dual 1-D Heatmaps
The field of pose estimation, which involves determining the position and orientation of an object in space, is a rapidly evolving area, with researchers continuously developing new methods to improve…
Researchers at Stanford Unveil PLATO: A Novel AI Approach to Tackle Overfitting in High-Dimensional, Low-Sample Machine Learning with Knowledge Graph-Augmented Regularization
A knowledge graph (KG) is a graph-based database that stores information as nodes and edges. On the other hand, a multilayer perceptron (MLP) is a type of neural network used…
This AI Paper from China Introduces UniRepLKNet: Pioneering Large-Kernel ConvNet Architectures for Enhanced Cross-Modal Performance in Image, Audio, and Time-Series Data Analysis
CNNs (Convolutional neural networks) have become a popular technique for image recognition in recent years. They have been highly successful in object detection, classification, and segmentation tasks. However, new challenges…
Apple Researchers Unveil DeepPCR: A Novel Machine Learning Algorithm that Parallelizes Typically Sequential Operations in Order to Speed Up Inference and Training of Neural Networks
Several new innovations have been made possible because of the advancements in the field of Artificial intelligence and Deep Learning. Complex tasks like text or picture synthesis, segmentation, and classification…
Advancements in machine learning for machine learning
Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, Google DeepMind, and Bryan Perozzi, Senior Staff Research Scientist, Google Research With the recent and accelerated advances in machine learning (ML), machines…
And the Top Paying AI Job Is…
If your Monday through Friday gig is working as a prompt engineer, then congratulations: You are among the highest paid AI professionals in the world at the moment. That’s according…
StyleDrop: Text-to-image generation in any style
Posted by Kihyuk Sohn and Dilip Krishnan, Research Scientists, Google Research Text-to-image models trained on large volumes of image-text pairs have enabled the creation of rich and diverse images encompassing…
Researchers from Karlsruhe Institute of Technology (KIT) Advance Precipitation Mapping with Deep Learning for Improved Spatial and Temporal Resolution
Due to climate change, extreme weather, particularly heavy precipitation events, is expected to become more frequent. Many natural disasters, such as floods or landslides, are directly caused by extreme precipitation.…
This AI Paper Unveils Amazon’s Latest Machine Learning Insights on Buggy-Code in Large Language Models
Programming can be complex, and writing code without errors is sometimes possible. Large language models of code (Code-LLMs) have been developed to help with code completion, but they can sometimes…
AI & Big Data Expo: Unlocking the potential of AI on edge devices
In an interview at AI & Big Data Expo, Alessandro Grande, Head of Product at Edge Impulse, discussed issues around developing machine learning models for resource-constrained edge devices and how…