​ Computed tomography (CT) images must accurately segment abdominal organs and tumors for clinical applications like computer-aided diagnosis and treatment planning. A generalized model that can handle numerous organs and illnesses simultaneously is preferred in real-world healthcare circumstances. While major research has concentrated on segmenting… Read More »Meet ConDistFL: A Revolutionary Federated Learning Approach for Organ and Disease Segmentation in CT Datasets Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Speech Recognition is one of the recently developed techniques in the NLP domain. Research scientists also developed large language models for text-to-voice generative AI model development. It was very clear that AI can achieve results like humans in terms of voice quality, expressions, human… Read More »PlayHT Team Introduces an AI Model with the Concept of Emotions to Generative Voice AI: This Will Allow You to Control and Direct the Generation of Speech with a Particular Emotion Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost

​ Learning representations of data that are transferable and applicable across tasks is a lofty objective in machine learning. The availability of large amounts of controllable, realistic data for evaluation and training is crucial for achieving this aim and monitoring progress. This is especially the… Read More »Meet PUG: A New AI Research from Meta AI on Photorealistic, Semantically Controllable Datasets Using Unreal Engine for Robust Model Evaluation Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Image generation has emerged as a pioneering field within Artificial Intelligence (AI), offering unprecedented opportunities across marketing, sales, and e-commerce domains. This fusion of AI and visual content creation signifies a significant milestone, ushering in a new era of digital communication and fundamentally altering… Read More »Salesforce Researchers Introduce XGen-Image-1: A Text-To-Image Latent Diffusion Model Trained To Re-Use Several Pretrained Components Madhur Garg Artificial Intelligence Category – MarkTechPost

​ ChatGPT and other large language models (LLMs) have shown impressive generalization abilities, but their training and inference costs are often prohibitive. Additionally, white-box access to model weights and inference probabilities is frequently crucial for explainability and confidence in mission-critical applications like healthcare. As a… Read More »Researchers from USC and Microsoft Propose UniversalNER: A New AI Model Trained with Targeted Distillation Recognizing 13k+ Entity Types and Outperforming ChatGPT’s NER Accuracy by 9% F1 on 43 Datasets Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ A research team from UC Santa Cruz has introduced a novel tool called the Text to Image Association Test. This tool addresses the inadvertent biases in Text-to-Image (T2I) generative AI systems. These systems are known for their ability to create images from text descriptions… Read More »Researchers at UC Santa Cruz Propose a Novel Text-to-Image Association Test Tool that Quantifies the Implicit Stereotypes between Concepts and Valence and Those in the Images Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Recent developments in the field of Artificial Intelligence have led to solutions to a variety of use cases. Different text-to-image generative models have paved the way for an exciting new field where written words can be transformed into vibrant, engrossing visual representations. The capacity… Read More »How Can We Generate A New Concept That Has Never Been Seen? Researchers at Tel Aviv University Propose ConceptLab: Creative Generation Using Diffusion Prior Constraints Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ More and more papers are being created and stored by businesses in today’s digital age. Although these papers may include useful information, they are sometimes easy to read and comprehend. Invoices, forms, and contracts that are also visually complex present an even bigger difficulty.… Read More »Google AI Introduces Visually Rich Document Understanding (VRDU): A Dataset for Better Tracking of Document Understanding Task Progress Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Human evaluation has been used to evaluate the performance of natural language processing models and algorithms for denoting text quality. Still, human evaluation is only sometimes consistent and may not be reproducible as it is hard to recruit the same human evaluators and return… Read More »Can Large-Scale Language Models Replace Humans in Text Evaluation Tasks? This AI Paper Proposes to Use LLM for Evaluating the Quality of Texts to Serve as an Alternative to Human Evaluation Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ A form of AI called large language models (LLMs) has been proven to produce text on par with a human’s. Unfortunately, training LLMs is a resource-intensive operation requiring high-powered computers and a vast volume of data. gpt-llm-trainer is a program that facilitates LLM training… Read More »Train LLM with a Simple English Prompt! Meet gpt-llm-trainer: The Easiest Way to Train a Task-Specific LLM Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost