LinkedIn is using your data to train its AI models. Here’s how to opt out

Disabling this setting prevents your data from being used, but data already used for training can't be taken back ...

DeepMind’s robotic ballet: An AI for coordinating manufacturing robots

With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The computations grew linearly with the growing number of tasks and obstacles, ...

Google makes real-world data more accessible to AI — and training pipelines will love it

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol ...
GitHub

Train multi-step agents for real-world tasks using GRPO.

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
IEEE

EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder

Abstract: This work introduces EffiSegNet, a novel segmentation framework leveraging transfer learning with a pre-trained Convolutional Neural Network (CNN) classifier as its backbone. Deviating from ...
IEEE

Fossil_Net Lung Cancer Prediction and Classification from CT Images Using Convolution Neural Networks

Abstract: Lung cancer is the leading cause of death worldwide for both men and women. The most well-known disease is the heart disease followed by lung cancer. Early discovery of lung cancer can ...