​ With the advent of affordable virtual reality (VR) technology, there has been significant growth in highly immersive visual media such as realistic VR photography and video. Existing approaches generally fall under the following two categories: High-fidelity view synthesis with a small headbox of diameter… Read More »Meta Researchers Introduced VR-NeRF: An Advanced End-to-End AI System for High-Fidelity Capture and Rendering of Walkable Spaces in Virtual Reality Arham Islam Artificial Intelligence Category – MarkTechPost

​ In a groundbreaking development published on November 8, 2023, the Giskard Bot has emerged as a game-changer in machine learning (ML) models, catering to large language models (LLMs) and tabular models. This open-source testing framework, dedicated to ensuring the integrity of models, brings a… Read More »Giskard Releases Giskard Bot on HuggingFace: A Bot that Automatically Detects Issues of the Machine Learning Models You Pushed to the HuggingFace Hub Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The realm of computer vision grapples with a foundational yet arduous task: deciphering dynamic 3D data from visual inputs. This capability is pivotal for a spectrum of applications spanning digital content production, the simulation of autonomous vehicles, and the analysis of medical images. However,… Read More »This AI Research from China Introduces Consistent4D: A Novel Artificial Intelligence Approach for Generating 4D Dynamic Objects from Uncalibrated Monocular Videos Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ In response to the increasing deployment of LLMs with real-world responsibilities, a programmatic framework called Rule-following Language Evaluation Scenarios (RULES) is proposed by a group of researchers from UC Berkeley, Center for AI Safety, Stanford, King Abdulaziz City for Science and Technology. RULES comprises… Read More »This AI Paper Introduces RuLES: A New Machine Learning Framework for Assessing Rule-Adherence in Large Language Models Against Adversarial Attacks Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ A researcher from Johannes Kepler University has introduced GateLoop, a novel sequence model that leverages the potential of linear recurrence for efficient long-sequence modeling. It generalized linear recurrent models and outperformed them in auto-regressive language modeling. GateLoop offers low-cost recurrent and efficient parallel modes… Read More »Johannes Kepler University Researchers Introduce GateLoop: Advancing Sequence Modeling with Linear Recurrence and Data-Controlled State Transitions Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence is being used in all aspects of life. AI is used in all directions of life and has become useful in various fields, including chemicals and polymers. In chemistry and polymer science, AI helps scientists discover new materials. It predicts how different… Read More »This AI Paper Introduces PolyID: Pioneering Machine Learning in the Discovery of High-Performance Biobased Polymers Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ In robotics, researchers face challenges in using reinforcement learning (RL) to teach robots new skills, as these skills can be sensitive to changes in the environment and robot structure. Current methods need help generalizing to new combinations of robots and tasks and handling complex,… Read More »Duke University Researchers Propose Policy Stitching: A Novel AI Framework that Facilitates Robot Transfer Learning for Novel Combinations of Robots and Tasks Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Transformer has become the basic model that adheres to the scaling rule after achieving great success in natural language processing and computer vision. Time series forecasting is seeing the emergence of a Transformer, which is highly capable of extracting multi-level representations from sequences and… Read More »Researchers from China Propose iTransformer: Rethinking Transformer Architecture for Enhanced Time Series Forecasting Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Information Retrieval (IR) models have the ability to sort and rank documents on the basis of user queries, facilitating efficient and effective information access. One of the most exciting applications of IR is in the field of biomedicine, where it can be used to… Read More »Are You Doing Retrieval-Augmented Generation (RAG) for Biomedicine? Meet MedCPT: A Contrastive Pre-trained Transformer Model for Zero-Shot Biomedical Information Retrieval Arham Islam Artificial Intelligence Category – MarkTechPost

​ In computer vision, backbones are fundamental components of many deep learning models. Downstream activities like categorization, detection, and segmentation rely on the features extracted by the backbone. There has been an explosion of new pretraining strategies and backbone architectures in recent years. As a… Read More »This AI Paper Introduces a Comprehensive Analysis of Computer Vision Backbones: Unveiling the Strengths and Weaknesses of Pretrained Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost