Self-driving tech startup Wayve raises $1.2B from Nvidia, Uber, and three automakers

Wayve provides what founder and CEO Alex Kendall calls the “contrarian” option in automated driving — contrarian both in its approach to tech and its business model, he told TechCrunch in an interview ...
Science Daily

Scientists create ultra-low loss optical device that traps light on a chip

CU Boulder researchers have designed microscopic “racetracks” that trap and amplify light with exceptional efficiency. By using smooth curves inspired by highway engineering, they reduced energy loss ...

AI deep denoiser can remove clouds from satellite images

Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort ...
TMCnet

Zyphra Releases ZUNA - BCI Foundation Model Advancing Towards Thought-to-Text

Zyphra today announced the release of ZUNA, the company's first foundation model trained on brain data. ZUNA significantly ...
Nanowerk

When machine learning shows its reasoning, electrocatalyst discovery accelerates

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
IEEE

Sparse Autoencoder-Based Deep Learning Approach for Enhancing End-to-End Communication System Performance

Deep Learning (DL) has emerged as a transformative approach in artificial intelligence, demonstrating remarkable capabilities in solving complex problems once considered unattainable. Its ability to ...
IEEE

Multi-layer Structure Autoencoder for Deep Learning Using Kernel Method

Abstract: Deep learning performs feature extraction through a series of data transformations. Convolutional neural networks (CNNs) are among the most representative methods in deep learning. CNNs ...
Tom's Guide

Google’s new Deep Think feature is here — what it does and why it might not stay Ultra-exclusive for long

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Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
GitHub

Enhancing EV Cost Prediction Using AutoEncoder-Based Feature Learning

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...