​[[{“value”:” A team of researchers from the University of Washington has collaborated to address the challenges in the protein sequence design method by using a deep learning-based protein sequence design method, LigandMPNN. The model targets enzymes and small molecule binder and sensor designs. Existing physically… Read More »Researchers from the University of Washington Developed a Deep Learning Method for Protein Sequence Design that Explicitly Models the Full Non-Protein Atomic Context Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the growth of AI, large language models also began to be studied and used in all fields. These models are trained on vast amounts of data on the scale of billions and are useful in fields like health, finance, education, entertainment, and many… Read More »Meet Eagle 7B: A 7.52B Parameter AI Model Built on the RWKV-v5 architecture and Trained on 1.1T Tokens Across 100+ Languages Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In natural language processing, the quest for precision in language models has led to innovative approaches that mitigate the inherent inaccuracies these models may present. A significant challenge is the models’ tendency to produce “hallucinations” or factual errors due to their reliance on internal… Read More »Enhancing the Accuracy of Large Language Models with Corrective Retrieval Augmented Generation (CRAG) Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Enhancing the receptive field of models is crucial for effective 3D medical image segmentation. Traditional convolutional neural networks (CNNs) often struggle to capture global information from high-resolution 3D medical images. One proposed solution is the utilization of depth-wise convolution with larger kernel sizes to… Read More »This AI Paper from China Introduces SegMamba: A Novel 3D Medical Image Segmentation Mamba Model Designed to Effectively Capture Long-Range Dependencies within Whole Volume Features at Every Scale Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the dynamic field of Artificial Intelligence (AI), the trajectory from one foundational model to another has represented an amazing paradigm shift. The escalating series of models, including Mamba, Mamba MOE, MambaByte, and the latest approaches like Cascade, Layer-Selective Rank Reduction (LASER), and Additive… Read More »A Meme’s Glimpse into the Pinnacle of Artificial Intelligence (AI) Progress in a Mamba Series: LLM Enlightenment Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Synthesizers, electronic instruments producing diverse sounds, are integral to music genres. Traditional sound design involves intricate parameter adjustments, demanding expertise. Neural networks aid by replicating input sounds, initially optimizing synthesizer parameters. Recent advances focus on optimizing sound directly for high-fidelity reproduction, requiring unsupervised learning… Read More »Meet DiffMoog: A Differentiable Modular Synthesizer with a Comprehensive Set of Modules Typically Found in Commercial Instruments Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The demand for intelligent and efficient digital assistants proliferates in the modern digital age. These assistants are vital for numerous tasks, including communication, learning, research, and entertainment. However, one of the primary challenges users face worldwide is finding digital assistants that can understand and… Read More »Meet Yi: The Next Generation of Open-Source and Bilingual Large Language Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-scale pre-trained vision-language models, exemplified by CLIP (Radford et al., 2021), exhibit remarkable generalizability across diverse visual domains and real-world tasks. However, their zero-shot in-distribution (ID) performance faces limitations on certain downstream datasets. Additionally, when evaluated in a closed-set manner, these models often struggle… Read More »This AI Paper from NTU and Apple Unveils OGEN: A Novel AI Approach for Boosting Out-of-Domain Generalization in Vision-Language Models Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Numerous challenges underlying human-robot interaction exist. One such challenge is enabling robots to display human-like expressive behaviors. Traditional rule-based methods need more scalability in new social contexts, while the need for extensive, specific datasets limits data-driven approaches. This limitation becomes pronounced as the variety… Read More »Google Deepmind and University of Toronto Researchers’ Breakthrough in Human-Robot Interaction: Utilizing Large Language Models for Generative Expressive Robot Behaviors Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in machine learning and artificial intelligence (ML) techniques are used in all fields. These advanced AI systems have been made possible due to advances in computing power, access to vast amounts of data, and improvements in machine learning techniques. LLMs, which require… Read More »Unlocking the Brain’s Language Response: How GPT Models Predict and Influence Neural Activity Rachit Ranjan Artificial Intelligence Category – MarkTechPost