​ Causal reasoning is the process of identifying the relationship between a cause and its effect, by which people attempt to infer outcomes, making it one of the hallmarks of human intelligence. It leads to better scientific reasoning and rational decision-making, and researchers have tried… Read More »This AI Paper Introduces a Groundbreaking Approach to Causal Reasoning: Assessing the Abilities of Language Models with CLadder and CausalCoT Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ Exploring pre-trained models for research often poses a challenge in Machine Learning (ML) and Deep Learning (DL). Visualizing the architecture of these models usually demands setting up the specific framework they were trained on, which can be quite laborious. Without this framework, comprehending the… Read More »Meet Netron: A Visualizer for Neural Network, Deep Learning and Machine Learning Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In a world where diagnosing autism spectrum disorder (ASD) relies heavily on the expertise of specialized professionals, a new study has shed light on a potential game-changer. With limited resources and a growing need for early detection, researchers have explored innovative ways to screen… Read More »A New Study from Korea Introduces a Deep Learning-Based Approach to Screen for Autism and Symptom Severity Using Retinal Photographs Niharika Singh Artificial Intelligence Category – MarkTechPost

​ An avid cyclist, Thomas Park knows the value of having lots of gears to maintain a smooth, fast ride. So, when the software architect designed an AI inference platform to serve predictions for Oracle Cloud Infrastructure’s (OCI) Vision AI service, he picked NVIDIA Triton… Read More »By Jove, It’s No Myth: NVIDIA Triton Speeds Inference on Oracle Cloud Amr Elmeleegy – Archives Page 1 | NVIDIA Blog

​ The development of multimodal large language models (MLLMs) represents a significant leap forward. These advanced systems, which integrate language and visual processing, have broad applications, from image captioning to visible question answering. However, a major challenge has been the high computational resources these models… Read More »This AI Research Introduces TinyGPT-V: A Parameter-Efficient MLLMs (Multimodal Large Language Models) Tailored for a Range of Real-World Vision-Language Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Recent advances in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the introduction of Large Language Models (LLMs). The significantly growing popularity of LLMs indicates that human-like talents can eventually be mirrored by robots. In recent research, a… Read More »Meet KwaiAgents: A Generalized Information Seeking Agent System based on Large Language Models LLMs Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ The conventional NeRF and its variations demand considerable computational resources, often surpassing the typical availability in constrained settings. Additionally, client devices’ limited video memory capacity imposes significant constraints on processing and rendering extensive assets concurrently in real-time. The considerable demand for resources poses a… Read More »This AI Research from China Introduces ‘City-on-Web’: An AI System that Enables Real-Time Neural Rendering of Large-Scale Scenes over Web Using Laptop GPUs Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Vector databases, rooted in 1960s information retrieval concepts, have evolved to streamline complex data management. Initially developed for the vector space model, they now play a pivotal role in handling diverse data types. As traditional databases fell short, vector databases emerged in the 2010s,… Read More »Role of Vector Databases in FMOps/LLMOps Manya Goyal Artificial Intelligence Category – MarkTechPost