​ The previous year saw a significant increase in the amount of work that concentrated on Computer Vision (CV) and Natural Language Processing (NLP). Because of this, academics worldwide are looking at the potential benefits deep learning and large language models (LLMs) might bring to… Read More »Get Ready for a Sound Revolution in AI: 2023 is the Year of Generative Sound Waves Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Artificial Intelligence has greatly advanced in recent times. Its current development, i.e., the introduction of Large Language Models, has gained everyone’s attention due to its incredible human-imitating capabilities. Not only Language processing, these models have also gained success in the field of Computer vision.… Read More »Meet Semantic-SAM: A Universal Image Segmentation Model Which Segments And Recognizes Objects At Any Desired Granularity Based On User Input Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ With the latest breakthroughs in Artificial Intelligence and the increasing amount of data worldwide, generating new and original content like text, music, images, etc., is possible based on a set of input data or parameters. This is accomplished using Generative AI. This artificial intelligence… Read More »Top Generative AI Companies in 2023 Mansi Rawat Artificial Intelligence Category – MarkTechPost

​ For solving inverse problems, there are two categories of approaches: supervised techniques, where a restoration model is trained to complete the task, and unsupervised methods, where a generative model uses the prior it has learned to direct the restoration process. A significant advancement in… Read More »Researchers from the University of UT Austin Introduce PSLD: An AI Method that Uses Stable Diffusion to Solve All Linear Problems Without Any Extra Training Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Generative AI has gained significant interest in the computer vision community. Recent advancements in text-driven image and video synthesis, such as Text-to-Image (T2I) and Text-to-Video (T2V), boosted by the advent of diffusion models, have exhibited remarkable fidelity and generative quality. These advancements demonstrate considerable… Read More »Meet DISCO: A Novel AI Technique For Human Dance Generation Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Robotics design and construction to perform daily tasks is an exciting and one of the most challenging fields of computer science engineering. A team of researchers from MIT, NVIDIA, and Improbable AI Lab successfully programmed a Frank Panda robotic arm with a Robotiq 2F140… Read More »Meet RPDiff: A Diffusion Model for 6-DoF Object Rearrangement in 3D Scenes Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Over the past decade, training larger and more over parametrized networks, or the “stack more layers” strategy, has become the norm in machine learning. As the threshold for a “large network” has increased from 100 million to hundreds of billions of parameters, most research… Read More »Researchers from the University of Massachusetts Lowell Propose ReLoRA: A New AI Method that Uses Low-Rank Updates for High-Rank Training Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples. This year, a paper presented at… Read More »Do Large Language Models Really Need All Those Layers? This AI Research Unmasks Model Efficiency: The Quest for Essential Components in Large Language Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Autonomous robotic systems capable of assembling new objects through visuospatial reasoning hold great potential for a broad range of real-world applications. Despite remarkable advancements in part assembly, existing approaches remain limited to pre-defined targets or familiar categories. To address this limitation, a joint research… Read More »Researchers from Columbia University and Deepmind Introduce GPAT: A Transformer-Based Model Architecture that Accurately Predicts Part Poses by Inferring How Each Part Shape Corresponds to the Target Shape Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Model explanations have proved essential for trust and interpretability in natural language processing (NLP). Free-text rationales, which provide a natural language explanation of a model prediction, have gained popularity because of their adaptability in eliciting the thought process that went into the model’s choice,… Read More »A New AI Research Introduces REV: A Game-Changer in AI Research – A New Information-Theoretic Measure Evaluating Novel, Label-Relevant Information in Free-Text Rationales Aneesh Tickoo Artificial Intelligence Category – MarkTechPost