ΑΙhub.org
#TalkDataToMe – a new series from The Alan Turing Institute
This month, The Alan Turing Institute launched #TalkDataToMe, a new video series and social media campaign which aims to explain topics related to artificial intelligence (AI) and data science. The video series has been created to provide accessible and factual information.
The first episode sees host Tabitha Goldstaub ask Andrea Baronchelli about non-fungible tokens (NFTs). He explains what NFTs are, provides some examples of NFTs, and discusses what the development of NFTs means for online “ownership”. You can watch the episode below:
The Institute have invited the audience to get in touch and suggest topics that they’d like to see covered. If you have any ideas, you can contact the team here.
tags: quick read
Lucy Smith
is Senior Managing Editor for AIhub.
Lucy Smith
is Senior Managing Editor for AIhub.
AIhub is supported by:
Related posts :
monthly digest
AIhub monthly digest: January 2025 – artists’ perspectives on generative AI, biomedical knowledge graphs, and ML for studying greenhouse gas e
Lucy Smith
29 Jan 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Public competition for better images of AI – winners announced!
Better Images Of AI
28 Jan 2025
See the winning images from the Better Images of AI and Cambridge Diversity Fund competition.
Translating fiction: how AI could assist humans in expanding access to global literature and culture
The Conversation
27 Jan 2025
Dutch publishing house Veen Bosch & Keuning (VBK) has confirmed plans to experiment using AI to translate fiction.
Interview with Yuki Mitsufuji: Improving AI image generation
Lucy Smith
23 Jan 2025
Find out about two pieces of research tackling different aspects of image generation.
The Good Robot podcast: Using feminist chatbots to fight trolls with Sarah Ciston
The Good Robot Podcast
22 Jan 2025
Eleanor and Kerry chat to Sarah Ciston about the difficult labor of content moderation, chatbots to combat trolls, and more.
An open-source training framework to advance multimodal AI
EPFL
22 Jan 2025
EPFL researchers have developed 4M, a next-generation, framework for training versatile and scalable multimodal foundation models.
Optimizing LLM test-time compute involves solving a meta-RL problem
ML@CMU
20 Jan 2025
By altering the LLM training objective, we can reuse existing data along with more test-time compute to train models to do better.
Generating a biomedical knowledge graph question answering dataset
Xi Yan
17 Jan 2025
Introducing PrimeKGQA - a scalable approach to dataset generation, harnessing the power of large language models.