Why everyone hates NVIDIA DLSS 5 (but will love it eventually)

DLSS 5: from “next-gen magic” to “makeup filter gone rogue”. Hated today, inevitable tomorrow, as AI learns that vibes matter ...

A.I. Replica of Val Kilmer to Appear in Film After His Death

Kilmer’s estate collaborated with the filmmakers to make a digital likeness of the actor, who died of cancer last year.
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
University at Buffalo

As wildfires intensify, UB researchers test if AI can improve fire spread prediction

Evaluation of deep learning tools underscores the strengths, limitations and opportunities for next‑generation hybrid ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

AI model enables personalized blood glucose predictions for type one diabetes

Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a ...
EurekAlert!

Jeonbuk National University researchers develop an AI model for personalized blood glucose monitoring

Patients with Type 1 diabetes (T1D) require accurate and consistent monitoring of their blood glucose levels. Over the past decade, AI models have been explored to tackle this challenge; however, ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
IEEE

EAP-LSTM: A Bi-LSTM-based Deep Learning Framework for Quantitatively Predicting Enhancer Activity in Drosophila and Human Cell Lines

Abstract: Enhancer activity plays a critical role in gene regulation, influencing various biological processes such as development and disease progression. Accurate prediction of enhancer activity is ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...