​ Creating musical compositions from text descriptions, such as “90s rock song with a guitar riff,” is text-to-music. Since it involves simulating long-range processes, making music is a difficult task. Music, as opposed to speech, calls for the utilization of the entire frequency range. This… Read More »Meta AI Introduces MusicGen: A Simple And Controllable Music Generation Model Prompted By Both Text And Melody Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) have greatly improved the state-of-the-art in various understanding and generation tasks, revolutionizing natural language processing. Most LLMs gain from self-supervised training over huge corpora by gathering information from a fixed-sized local context and displaying emerging skills, including zero-shot prompting, in-context… Read More »Researchers from Microsoft and UC Santa Barbara Propose LONGMEM: An AI Framework that Enables LLMs to Memorize Long History Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ A team of researchers from the University of Science and Technology of China has developed a novel machine-learning model for lip-to-speech (Lip2Speech) synthesis. The model is capable of generating personalized synthesized speech in zero-shot conditions, meaning it can make predictions related to data classes… Read More »This AI Paper Proposes A Zero-Shot Personalized Lip2Speech Synthesis Method: A Synthetic Speech Model To Match Lip Movements Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The domain of Artificial Intelligence (AI) is evolving and advancing with the release of every new model and solution. Large Language Models (LLMs), which have recently got very popular due to their incredible abilities, are the main reason for the rise in AI. The… Read More »Researchers From UC Berkeley and Google Introduce an AI Framework that Formulates Visual Question Answering as Modular Code Generation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ At SambaSafety, their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American provider of cloud–based mobility risk management software for organizations with commercial and non–commercial drivers. SambaSafety serves more than 15,000 global… Read More »SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions Dan Ferguson AWS Machine Learning Blog

​ Large language models have increased due to the ongoing development and advancement of artificial intelligence, which has profoundly impacted the state of natural language processing in various fields. The potential use of these models in the financial sector has sparked intense attention in light… Read More »Meet FinGPT: An Open-Source Financial Large Language Model (LLMs) Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Humor may improve human performance and motivation and is crucial in developing relationships. It is an effective tool for influencing mood and directing attention. Therefore, a sense of humor that is computational has the potential to improve human-computer interaction (HCI) greatly. Sadly, even though… Read More »This Paper Tests ChatGPT’s Sense of Humor: Over 90% of ChatGPT Generated Jokes Were The Same 25 Jokes Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ MIT researchers have developed a groundbreaking technique that enables machines to solve complex stabilize-avoid problems more effectively than previous methods. The new machine-learning approach, presented in a paper by lead author Oswin So and senior author Chuchu Fan, allows autonomous aircraft to navigate treacherous… Read More »Revolutionizing Navigation: MIT Researchers Unveil a Novel Machine Learning Approach for Autonomous Vehicle Stabilization and Obstacle Avoidance Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Sparse feature tracking or dense optical flow have historically been the two main methodologies used in motion estimating algorithms. Both types of methods have been successful in their particular applications. However, neither representation completely captures the motion of a video: sparse tracking can not… Read More »A Research Team from Google, Cornell, and UC Berkeley Presented OmniMotion: A Game-Changing AI Method for Dense and Long-Range Motion Estimation in Videos Aneesh Tickoo Artificial Intelligence Category – MarkTechPost