​ Video super-resolution, aiming to elevate the quality of low-quality videos to high fidelity, faces the daunting challenge of addressing diverse and intricate degradations commonly found in real-world scenarios. Unlike previous focuses on synthetic or specific camera-related degradations, the complexity arises from multiple unknown factors… Read More »NTU Researchers Unveil Upscale-A-Video: Pioneering Text-Guided Latent Diffusion for Enhanced Video Super-Resolution Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large language models such as GPT-3 require substantial energy due to their computational needs during training and inference. The energy usage varies significantly based on factors like the model’s size, task complexity, hardware specifications, and operational duration. Training these models demands extensive computational resources,… Read More »This AI Paper Introduces Perseus: A Trailblazing Framework for Slashing Energy Bloat in Large-Scale Machine Learning and AI Model Training by Up to 30% Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ NVFi tackles the intricate challenge of comprehending and predicting the dynamics within 3D scenes evolving over time, a task critical for applications in augmented reality, gaming, and cinematography. While humans effortlessly grasp the physics and geometry of such scenes, existing computational models struggle to… Read More »This AI Paper Introduces a Groundbreaking Method for Modeling 3D Scene Dynamics Using Multi-View Videos Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The intersection of neuroscience and artificial intelligence has seen remarkable progress, notably through the development of an open-source Python library known as “snnTorch.” This innovative code, which simulates spiking neural networks inspired by the brain’s efficient data processing methods, originates from the efforts of… Read More »This AI Paper Explores the Brain’s Blueprint via Deep Learning: Advancing Neural Networks with Insights from Neuroscience and snnTorch Python Libary Tutorials Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Google Researchers have introduced a foundation of models fine-tuned for the healthcare industry, MedLM, which is currently available in the US. It is built on earlier research of Google in healthcare and medicine, Med-PaLM 2, a medically-tuned large language model. The MedLM consists of… Read More »Google AI Introduces MedLM: A Family of Foundation Models Fine-Tuned for Healthcare Industry Use Cases Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ Primary liver cancer, encompassing hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICCA), poses significant challenges due to their distinct characteristics. The emergence of combined hepatocellular-cholangiocarcinoma (cHCC-CCA), showcasing features of both HCC and ICCA, presents diagnostic complexities and clinical management dilemmas. This rarity complicates the derivation… Read More »Revolutionizing Cancer Diagnosis: How Deep Learning Accurately Identifies and Reclassifies Combined Liver Cancers for Enhanced Treatment Decisions Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Researchers at the GrapheneX-UTS Human-centric Artificial Intelligence Centre (University of Technology Sydney (UTS)) have developed a noteworthy system capable of decoding silent thoughts and converting them into written text. This technology has potential applications in aiding communication for individuals unable to speak due to… Read More »This AI Paper Unveils DeWave: Revolutionizing EEG-to-Text Translation with a Novel AI Framework for Open-Vocabulary BCIs Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Researchers from various universities in the UK have developed an open-source artificial intelligence (AI) system, X-Raydar, for comprehensive chest x-ray abnormality detection. Trained on a dataset from six UK hospitals, the system utilizes neural networks, X-Raydar and X-Raydar-NLP, for classifying common chest X-ray findings… Read More »This AI Paper Unveils X-Raydar: A Groundbreaking Open-Source Deep Neural Networks for Chest X-Ray Abnormality Detection Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ The field of pose estimation, which involves determining the position and orientation of an object in space, is a rapidly evolving area, with researchers continuously developing new methods to improve its accuracy and performance. Researchers from three highly regarded institutions – Tsinghua Shenzhen International… Read More »This AI Paper Introduces RTMO: A Breakthrough in Real-Time Multi-Person Pose Estimation Using Dual 1-D Heatmaps Sana Hassan Artificial Intelligence Category – MarkTechPost

​ A knowledge graph (KG) is a graph-based database that stores information as nodes and edges. On the other hand, a multilayer perceptron (MLP) is a type of neural network used in machine learning. MLPs are composed of interconnected nodes arranged in multiple layers. Each… Read More »Researchers at Stanford Unveil PLATO: A Novel AI Approach to Tackle Overfitting in High-Dimensional, Low-Sample Machine Learning with Knowledge Graph-Augmented Regularization Adnan Hassan Artificial Intelligence Category – MarkTechPost