Posted by Shaina Mehta, Program Manager, Google This week marks the beginning of the premier annual Computer Vision and Pattern Recognition conference (CVPR 2023), held in-person in Vancouver, BC (with additional virtual content). As a leader in computer vision research and a Platinum Sponsor, Google… Read More »Google at CVPR 2023 Google AI Google AI Blog
Recent developments in Large Language Models (LLMs) have demonstrated their impressive problem-solving ability across several fields. LLMs can include hundreds of billions of parameters and are trained on enormous text corpora. Studies show that in LLM inference, memory bandwidth, not CPU, is the key… Read More »Revolutionizing AI Efficiency: UC Berkeley’s SqueezeLLM Debuts Dense-and-Sparse Quantization, Marrying Quality and Speed in Large Language Model Serving Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
Meta-AI Researchers have recently achieved a significant breakthrough in generative AI for speech. They have developed Voicebox, an innovative AI model that showcases the state-of-the-art performance and the ability to generalize to speech-generation tasks without specific training. Unlike previous speech-generation models, Voicebox utilizes a… Read More »Meta AI Shatters Barriers with Voicebox: An Unprecedented Generative AI Model-Revolutionizing the Field of Speech Synthesis Niharika Singh Artificial Intelligence Category – MarkTechPost
Artificial Intelligence (AI) has emerged as a significant disruptive force across numerous industries, from how technological businesses operate to how innovation is unlocked in different subdomains in the healthcare sector. In particular, the biomedical field has witnessed significant advancements and transformation with the introduction… Read More »Microsoft Researchers Propose BioViL-T: A Novel Self-Supervised Framework Ushering in Enhanced Predictive Performance and Data Efficiency in Biomedical Applications Khushboo Gupta Artificial Intelligence Category – MarkTechPost
Without changing the model parameters, large language models have in-context learning skills that allow them to complete a job given only a small number of instances. One model may be used for various tasks because of its task-agnostic nature. In contrast, conventional techniques for… Read More »Stanford and Cornell Researchers Introduce Tart: An Innovative Plug-and-Play Transformer Module Enhancing AI Reasoning Capabilities in a Task-Agnostic Manner Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
We are deluged with enormous volumes of data from all the different domains, including scientific, medical, social media, and educational data. Analyzing such data is a crucial requirement. With the increasing amount of data, it is important to have approaches for extracting simple and… Read More »Meet TARDIS: An AI Framework that Identifies Singularities in Complex Spaces and Captures Singular Structures and Local Geometric Complexity in Image Data Tanya Malhotra Artificial Intelligence Category – MarkTechPost
Humans pick up a tremendous quantity of background information about the world just by watching it. The Meta team has been working on developing computers that can learn internal models of how the world functions to let them learn much more quickly, plan out… Read More »Meta AI Unveils Revolutionary I-JEPA: A Groundbreaking Leap in Computer Vision That Emulates Human and Animal Learning and Reasoning Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
Machine Learning and Data Science are the two most essential technologies in Industry 4.0. Data Science refers to extracting meaningful insights from data, while Machine Learning enables the computer to learn independently without being explicitly programmed. Mastering these fields requires a solid understanding of… Read More »Using ChatGPT as Your Personalized Teacher Kanwal Mehreen MachineLearningMastery.com
A year ago, generating realistic images with AI was a dream. We were impressed by seeing generated faces that resemble real ones, despite the majority of outputs having three eyes, two noses, etc. However, things changed quite rapidly with the release of diffusion models.… Read More »How Should We Store AI Images? Google Researchers Propose an Image Compression Method Using Score-based Generative Models Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost
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