Reinforcement learning (RL) is inherently rife with non-stationarity since the states and rewards the agent observes during training depend on its changing policy. Therefore, networks in deep RL must be capable of adapting to new observations and fit...
This study evaluates a smartphone-based, deep-learning eye-tracking algorithm by comparing its performance against a commercial infrared-based eye tracker, the Tobii Pro Nano. The aim is to investigate the feasibility of appearance-based gaze estimat...
Deep neural networks (DNNs) trained on large-scale datasets have exhibited significant performance in image classification. Many large-scale datasets are collected from websites, however they tend to contain inaccurate labels that are termed as noisy...
Many pledges are made in the course of an election campaign, forming important corpora for political analysis of campaign strategy and governmental accountability. At present, there are no publicly available annotated datasets of pledges, and most po...
[Intelligenza Artificiale] The official repo for the paper: "CLAM: A Synergistic Deep Learning Model for Multi-Step Stock Price Trend Forecasting". (⭐ 13)
Measuring machine creativity is one of the most fascinating challenges in Artificial Intelligence. This paper explores the possibility of using generative learning techniques for automatic assessment of creativity. The proposed solution does not invo...
Object detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring. While deep learning algorithms are constantly evolving, they have been mostly implemented and tested on popular gr...
Monitoring the effects of the chemotherapeutic agent Taxol at the cellular level is critical for both clinical evaluation and biomedical research. However, existing detection methods require specialized equipment, skilled personnel, and extensive sam...
Deep learning gateway on Raspberry Pi and other edge devices (⭐ 1620)
Motion classes, based on Holden's code http://theorangeduck.com/page/deep-learning-framework-character-motion-synthesis-and-editing (⭐ 26)
Feb 18, 2026 · The former Ukrainian army general widely seen as the top political rival to President Volodymyr Zelenskyy has spoken publicly for the first time about a deep rift between the two men.
Samathinking replaces boring “Thinking” text with a looping video of Sam Altman deep in thought. A fun, real-time twist for dynamic web apps. (⭐ 6)
Like yes I know he's merely a businessman doing what he thinks he's gotta do and with him being a dad now, but on like a surface or deeper level, what even are his motives for all of this? greed or be...
4 days ago · The music industry deeply dislikes Spotify, except for Spotify employees. Spotify exploits artists, hindering community growth while struggling to generate substantial profits. The streaming …
Oct 5, 2018 · Are nuru body slides illegal in the United states? I have a bad back and offen try deep tissue massages but they rarely work. A friend told me to try a nuru body rub as it could help. I …
News podcasts are a popular medium to stay informed and dive deep into news topics. Today, most podcasts are handcrafted by professionals. In this work, we advance the state-of-the-art in automatically generated podcasts, making use of recent advance...
You can create podcast-style conversations from documents, slides, NotebookLM notebooks, and Deep Research reports with Audio Overviews in Gemini Apps. What you need For now, this feature isn’t
We present an approach to synthesize whisper by applying a handcrafted signal processing recipe and Voice Conversion (VC) techniques to convert normally phonated speech to whispered speech. We investigate using Gaussian Mixture Models (GMM) and Deep...
Association all expressed concern that Vaught's prosecution set a "dangerous precedent." The American Nurses Association stated: "We are deeply distressed
Recently, deep learning methods have gained remarkable achievements in the field of image restoration for remote sensing (RS). However, most existing RS image restoration methods focus mainly on conventional first-order degradation models, which may...