​ 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

​ Image Retrieval is a complex process if we try to represent it accurately. Many research scientists are working on this process to ensure minimum loss from the actual image given. Researchers found a way to represent an image through text embeddings. But formatting an… Read More »Google AI Researchers Introduce Pic2Word: A Novel Approach To Zero-Shot Composed Image Retrieval (ZS-CIR) Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost

​ Amidst all the buzz around artificial intelligence, businesses are beginning to realize the many ways in which it may help them. However, as Mithril Security’s latest LLM-powered penetration test shows, adopting the newest algorithms can also have significant security implications. Researchers from Mithril Security,… Read More »Meet PoisonGPT: An AI Method To Introduce A Malicious Model Into An Otherwise-Trusted LLM Supply Chain Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have rapidly gained enormous popularity by their extraordinary capabilities in Natural Language Processing and Natural Language Understanding. This recent development in the field of Artificial Intelligence has revolutionized the way humans and computers interact with each other. The recent model… Read More »Google Research Introduces SPAE: An AutoEncoder For Multimodal Generation With Frozen Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Researchers’ positionality—their perspectives formed by their own experience, identity, culture, and background—influences their design decisions while developing NLP datasets and models.  Latent design choices and the researcher’s positionality are two sources of design bias in producing datasets and models. This leads to discrepancies in… Read More »A Research Group From CMU, AI2 and University of Washington Introduces NLPositionality: An AI Framework for Characterizing Design Biases and Quantifying the Positionality of NLP Datasets and Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ A potent family of generative models that can depict complicated distributions over high-dimensional spaces is score-based generative models (SBGMs), which include diffusion models. The development of a source density, almost always Gaussian, is commonly simulated using SBGMs using a stochastic differential equation (SDE) to… Read More »This AI Paper Introduces a Novel Class of Simulation-Free Objectives for Learning Continuous-Time Stochastic Generative Models between General Source and Target Distributions Aneesh Tickoo Artificial Intelligence Category – MarkTechPost