​ Numerous real-world graphs include crucial temporal domain data. Both spatial and temporal information are crucial in spatial-temporal applications like traffic and weather forecasting. Researchers have recently developed Temporal Graph Neural Networks (TGNNs) to take advantage of temporal information in dynamic graphs, building on the… Read More »Amazon Researchers Introduce DistTGL: A Breakthrough in Scalable Memory-Based Temporal Graph Neural Networks for GPU Clusters Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation, with generative adversarial networks (GANs) emerging as a promising solution. Techniques like GAN and its variant, deep convolutional generative adversarial… Read More »This AI Paper Unveils an Enhanced CycleGAN Approach for Robust Person Re-identification Across Varied Camera Styles Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ The scaling rule of language models has produced success like never before. These huge language models have gotten novel emerging capabilities in addition to demonstrating tremendous superiority over earlier paradigms for many disciplines when trained on immense amounts of textual data. Although highly strong… Read More »This AI Paper Unveils OpenBA: An Open-Sourced 15B Parameter Bilingual Model Outperforming Predecessors and Aiding Chinese-centric NLP Advancements Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In the realm of video content organization, the segmentation of lengthy videos into chapters emerges as an important capability, allowing users to pinpoint their desired information swiftly. Unfortunately, this subject has suffered from hardly any research attention due to the scarcity of publicly available… Read More »This AI Paper Introduces VidChapters-7M: A Scalable Approach to Segmenting Videos into Chapters Using User-Annotated Data Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ In recent years, the brain-computer interface venture Neuralink Corp., has been on a mission to achieve a groundbreaking symbiosis with artificial intelligence. After conducting extensive trials with primates, the company has reached a pivotal juncture, opening the door to human volunteers for a new… Read More »Neuralink’s First-in-Human Clinical Trial! Now Open for Enrolment Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The rise of large language models (LLMs) has presented both opportunities and challenges. Leveraging these powerful models for complex applications requires intricate workflows that demand significant effort and expertise. Enter AutoGen, a groundbreaking framework designed to simplify and automate LLM workflows, enabling developers to… Read More »Microsoft Researchers Introduce AutoGen: An Artificial Intelligence Framework for Simplifying the Orchestration, Optimization, and Automation of LLM Workflows Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) are helpful in various contexts since they can carry out various text-based activities with simple instructions. Applications include content creation, computer programming, and natural language interpretation. LLMs are changing how people interact with and use information because of their capacity… Read More »Cerebras Introduces the Bittensor Language Model Named BTLM-3B-8K: A New State-of-The-Art 3B Parameter Open-Source Language Model Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In optical computing, a pressing challenge is the efficient implementation of real-valued optical matrix-vector multiplication (MVM). While optical computing offers advantages such as high bandwidth, low latency, and energy efficiency, traditional optical matrix computing methods have been designed for complex-valued matrices, resulting in a… Read More »This Research Explains How Simplified Optical Neural Network Component Saves Space And Energy Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Researchers continually strive to build models that can understand, reason, and generate text like humans in the rapidly evolving field of natural language processing. These models must grapple with complex linguistic nuances, bridge language gaps, and adapt to diverse tasks. However, traditional language models… Read More »Meet InternLM-20B: An Open-Sourced 20B Parameter Pretrained Artificial Intelligence AI Framework Madhur Garg Artificial Intelligence Category – MarkTechPost

​ A revolution in the field of coding work automation has been brought about by introducing Large Language Models (LLMs), such as GPT-3. These models have extraordinary generative skills and have opened the path for the creation of Replit, GitHub Copilot, and Amazon Code Whisperer.… Read More »Meet CodePlan: A Task-Agnostic AI Framework For Repository-Level Coding Using Large Language Models (LLMs) And Planning Tanya Malhotra Artificial Intelligence Category – MarkTechPost