Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

This November, I rented a Tesla Model Y and drove it for about 150 miles, depending on your personal definition of “driving.” For about 145 of those miles, I let Tesla’s “Full Self-Driving (Supervised ...

Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this challenge but ...

This repository contains the official implementation of our paper "Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising". Self-supervised video ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Unsure if Tesla’s Full Self-Driving is worth it? Get the full picture with our analysis of FSD’s strengths, weaknesses, and a final verdict. Tesla’s robotaxis are classified as using an automated ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Abstract: Semi-supervised learning (SSL) methods have shown promising results in solving many practical problems when only a few labels are available. The existing methods assume that the class ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.