Tech Xplore

Human brain and AI speech recognition decode speech in similar step-by-step stages, study finds

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...
marktechpost

Google DeepMind Introduces Unified Latents (UL): A Machine Learning Framework that Jointly Regularizes Latents Using a Diffusion Prior and Decoder

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...
TV Technology

Miri to Showcase New V410 Video Encoder/Decoder at ISE 2026

READING, Pa.—Miri Technologies has unveiled the V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution, which will make its world debut at ISE 2026 ...
The New York Times

Teaching and Learning in the Age of A.I.

Re “Tech Giants Racing to Add A.I. to Schools Around the World” (Business, Jan. 5): With the proliferation of A.I. tools and the push for their adoption in schools, there has never been a greater need ...
University of Geneva

Clonability of anti-counterfeiting printable graphical codes: a machine learning approach

Citation O. Taran, S. Bonev, and S. Voloshynovskiy, "Clonability of anti-counterfeiting printable graphical codes: a machine learning approach," in Proc. IEEE International Conference on Acoustics, ...
IEEE

BED-RL: Bagging-based Encoder-Decoder Reinforcement Learning for Dynamic Portfolio Management

Abstract: Portfolio management in modern financial markets faces numerous challenges, primarily due to the complexity of market dynamics, high volatility, and noisy data environments. Traditional ...
GitHub

Deep Reinforcement Learning for Service Function Chain Placement with Graph Attention and Transformer Encoder

This repository contains the implementation of the paper of paper Deep Reinforcement Learning for Service Function Chain Placement with Graph Attention and Transformer Encoder. In this paper, we ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
Frontiers

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...
marktechpost

This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...