It's been a whirlwind few days for AI-related job displacement, with the news of several companies using AI to partially create images for promotional purposes and receiving criticism as a result. Magic: The Gathering, Xbox’s indie games division, and even art drawing tablet company Wacom have all been caught up in this discussion. However, the…
Be excited! Researchers from MIT CSAIL have recently unveiled a groundbreaking study that examines the intersection of language models and visual understanding. This innovative research explores an uncharted area, probing the extent to which models designed for text processing can generate and recognize visual concepts.
The core issue addressed by the study is assessing the…
We are thrilled to bring to your attention the groundbreaking research conducted by the researchers of Texas A&M University and Amazon on the potential of Large Language Models (LLMs) to handle longer contexts without requiring additional training. SelfExtend, their proposed solution, presents an inventive answer to the complex challenge of finding the ideal balance between…
AI companies have been making headlines recently as they are being sued for copyright infringements, but what many people don't know is that AI-generated images also present a potential legal risk to end users. In a paper published on IEEE Spectrum, cognitive scientist Dr. Gary Marcus and film concept artist Reid Southen outlined the growing…
Researchers from multiple universities have been working hard to address the challenge of designing large-scale DNN chiplet accelerators, focusing on optimizing monetary cost (MC), performance, and energy efficiency. This complexity arises from the numerous parameters, such as network-on-chip (NoC) communication, core positions, and different DNN attributes. As such, it is crucial to explore a vast…
Behold Rust Burn, the revolutionary deep learning framework designed entirely in the Rust programming language! Rust Burn is here to revolutionize the deep learning landscape with its commitment to flexibility, performance, and ease of use. With its versatile feature set, including a flexible and dynamic computational graph, thread-safe data structures, and support for multiple backend…
Exciting times are here as Large Language Models (LLMs) continue to revolutionize natural language processing! With models like ChatGPT, LLMs are ushering in more cost-efficient training and deployment methods, evolving considerably from traditional statistical language models to sophisticated neural network-based models. ELMo and the Transformer have been instrumental in developing and popularizing series like GPT.…
Excitement abounds as innovations in the field of artificial intelligence (AI) continue to unlock powerful capabilities in large language models. Recent research into the Model-as-a-Service (MaaS) paradigm, however, has raised privacy concerns, particularly when handling sensitive data. To address this challenge, researchers have developed Secure Multi-Party Computing (SMPC), a solution for preserving the privacy of…
Language models are at the forefront of natural language processing, playing a crucial role in the development and optimization of accurate and effective outcomes. Excitingly, the research trend has gravitated towards creating larger, more intricate models to increase the capacity for human-like text processing and generation. It has become integral to various tasks in the…
It's finally here! Mobile ALOHA, the new low-cost bimanual mobile robot housekeeper is the latest advancement in robotics and artificial intelligence technology. Developed by Stanford University researchers, this amazing robot can be trained to perform a variety of household tasks, from cooking food to wiping spills and arranging chairs. What's even more impressive is that…
Be excited about the research into adversarial attacks in image classification! This critical issue in AI security involves subtle changes to images that can make AI models give incorrect classifications. The researchers from Stanislav Fort have introduced an innovative method leveraging standard optimization techniques to generate perturbations that can simultaneously mislead the classification of several…
We are excited to learn about the incredible work done by researchers from Global Fishing Watch, led by Fernando Paolo, who have used neural networks to analyze satellite and radar images to uncover insights into global maritime activities! This ground-breaking study, published in Nature, revealed that three-quarters of the world's large fishing vessels and a…