neural networks

Auto Added by WPeMatico

Banner for the AI & Big Data Expo event series.

Motional and MIT AI explains self-driving car decisions

ai, AI (Artificial Intelligence), AI and Us, AI in Action, Artificial Intelligence, Autonomous vehicles, Computer vision, cw-net, Data Engineering & MLOps, Deep Dives, deep learning, driverless cars, explainable AI, Featured News, Governance, Regulation & Policy, How It Works, Human-AI Relationships, Inside AI, MIT, motional, neural networks, physical ai, Road safety, Robotics, self-driving, vehicle safety

Motional and MIT researchers have built a system that lets self-driving cars explain their decisions in real-time, tackling the black-box problem in autonomous vehicle AI. The work, published in Nature, comes from a team at Motional that includes CEO Laura Major, working alongside researchers from MIT’s Computer Science and Artificial Intelligence Laboratory. Their proposed method, […]

Motional and MIT AI explains self-driving car decisions Read More »

Image Recognition in AI: How It Works

ai, AI (Artificial Intelligence), AI image recognition, Artificial Intelligence, Computer vision, convolutional neural networks, deep learning, Facial recognition, image classification, image recognition, image segmentation, neural networks, object detection, vision transformers

Why it matters: How does image recognition work? See the full pipeline from pixels to predictions, real accuracy data, top uses, and the risks every team should know.

Image Recognition in AI: How It Works Read More »

The afterparty: Hyperparameter autotuning revisited

Artificial Intelligence, Cross-Validation, deep learning, Higgs boson, Hyperparameter Tuning, Machine Learning, model interpretability, model optimization, neural networks, SAS Viya Workbench, Tech

In my first article on hyperparameter autotuning, I used a cake analogy to show how to use hyperparameter autotuning with Optuna and the sasviya.ml package in Python to improve detecting Higgs bosons in a particle accelerator. SAS Viya Workbench now supports hyperparameter autotuning in SAS code with a variety of […] The post The afterparty:

The afterparty: Hyperparameter autotuning revisited Read More »