What to expect from the US-China trade talks?
May 26, 2025 · US-China reach a fragile trade truce with tariff cuts and renewed talks, but deep structural tensions and strategic rivalry continue to cloud the outlook.
May 26, 2025 · US-China reach a fragile trade truce with tariff cuts and renewed talks, but deep structural tensions and strategic rivalry continue to cloud the outlook.
The processes underlying human cognition are often divided into System 1, which involves fast, intuitive thinking, and System 2, which involves slow, deliberate reasoning. Previously, large language models were criticized for lacking the deeper, more...
Deep neural networks (DNNs) are so over-parametrized that recent research has found them to already contain a subnetwork with high accuracy at their randomly initialized state. Finding these subnetworks is a viable alternative training method to weig...
We present the Global Water Classifier (GWC), a supervised, geospatially extensive Machine Learning (ML) classifier trained on Sen2Cor corrected Sentinel-2 surface reflectance data. Using nearly 100 globally distributed inland water bodies, GWC disti...
Communication networks are important infrastructures in contemporary society. There are still many challenges that are not fully solved and new solutions are proposed continuously in this active research area. In recent years, to model the network to...
A universal system prompt designed to compel Large Language Models to engage in profound, exhaustive, and structured deep thinking. (⭐ 477)
Fireman is a 2015 Indian Malayalam-language disaster film directed by Deepu Karunakaran and produced by Milan Jaleel under the banner of Galaxy Films
Mar 16, 2018 · PyInstaller imports modules recursively. If the structure how modules are imported within your program is awkward, this leads to the nesting being too deep and hitting Python's stack-limit.
Hyperspectral anomaly detection (HAD) aims to identify rare and irregular targets in high-dimensional hyperspectral images (HSIs), which are often noisy and unlabelled data. Existing deep learning methods either fail to capture long-range spectral de...
Safety is one of the most important development goals for highly automated driving (HAD) systems. This applies in particular to the perception function driven by Deep Neural Networks (DNNs). For these, large parts of the traditional safety processes...
We propose a neural network approach to produce probabilistic weather forecasts from a deterministic numerical weather prediction. Our approach is applied to operational surface temperature outputs from the Global Deterministic Prediction System up t...
In this paper, we present Pangu-Weather, a deep learning based system for fast and accurate global weather forecast. For this purpose, we establish a data-driven environment by downloading $43$ years of hourly global weather data from the 5th generat...
PROOF: https://i.redd.it/s3cnsz6sz8da1.jpg For more than a decade, a training program known as 911 call analysis and its methods have spread across the country and burrowed deep into the justice syst...
The powerful learning ability of deep neural networks enables reinforcement learning agents to learn competent control policies directly from continuous environments. In theory, to achieve stable performance, neural networks assume i.i.d. inputs, whi...
Wireless Sensor Networks (WSNs) is a promising technology with enormous applications in almost every walk of life. One of the crucial applications of WSNs is intrusion detection and surveillance at the border areas and in the defense establishments....
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Deep Learning and Reinforcement Learning Library for Scientists and Engineers (⭐ 7394)
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. (⭐ 12759)
Due to the unprecedented depth of the upcoming ground-based Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory, approximately two-thirds of the galaxies are likely to be affected by blending - the overlap of physically separated...
The rise of computation-based methods in thermal management has gained immense attention in recent years due to the ability of deep learning to solve complex 'physics' problems, which are otherwise difficult to be approached using conventional techni...