Insight into one of life’s earliest ancestors | EurekAlert!
An international team of researchers led by the University of Bristol has shed light on Earth’s earliest ecosystem, showing that within a few hundred million years of planetary formation, life on Earth was already flourishing.
Building an AI assistant that listens and sees the world (Step by step tutorial)
I built an AI assistant that listens to my commands and uses my webcam to understand the world around me. I used Python to build it, and this video will give...
Sensay Brand Values & Voice Our Mission: Sensay’s Mission is to build digital immortality for everyone. Building indistinguishable authorised autonomous AI clones that empower preserving, extending, and generating new knowledge through cycles where wisdom has historically been lost. Our Vision:...
Sensay creates lifelike AI digital replicas, offering everyone limitless potential in a digital age. These on-chain verified autonomous digital twins empower users to retain ownership and monetize this powerful technology. Starting with replicas for dementia patients and their families, the technology has an immediate social impact. Beyond this, the use cases for digital twins are endless.
NYTimes: For Older People Who Are Lonely, Is the Solution a Robot Friend?
New York officials believe a robotic companion called ElliQ, which can discuss complicated subjects, is helping older residents feel less alone. Critics are concerned about data collection.
Baron Vladimir Harkonnen Recreated With ZBrush & Marvelous Designer
Character Artist Srijan Maharjan talked to us about Baron Vladimir Harkonnen project, explaining how a character based on Stellan Skarsgård in Denis Villeneuve's Dune was recreated with ZBrush, Substance 3D Painter, Marvelous Designer, and Marmoset Toolbag.
Infinity Speak propels your voice into the universe through radio transmissions. Experience space communication like never before and send your messages to space.
This AI Paper by Tencent AI Lab Researchers Introduces Persona-Hub: A Collection of One Billion Diverse Personas for Scaling Synthetic Data - MarkTechPost
Synthetic data generation has become crucial in training large language models (LLMs). This field focuses on creating artificial data sets that mimic real-world data, allowing researchers to train and evaluate machine learning models effectively without compromising privacy or requiring extensive data collection efforts. The methodology behind synthetic data creation aims to provide diverse and scalable data sets to enhance the robustness and performance of LLMs in various applications. The primary challenge in synthetic data generation lies in creating diverse data at scale. Traditional methods often struggle to maintain both diversity and scalability. Instance-driven approaches, which generate new data based on
Inside the EU Commission’s rush to build codes of practice for general purpose AI – Euractiv
Providers of general purpose AI, like ChatGPT, will be in the driver's seat when drafting codes of practice that they can later use to demonstrate compliance with the AI Act.