We are at a critical turning point. In order to innovate and thrive in a rapidly changing global environment, new norms are needed.

This database currently covers nearly 300 relevant standards that are being developed or have been published by a range of prominent Standards Development Organisations.

An article by Pau Garcia — CEO of Domestic Data Streamers

Matt Jones talks to us about his work and his career.

A Support Group for Creatives

We are looking for two Fellows to contribute to our work on advancing digital public space and designing the future of open. The application submission deadline is 31 December 2022.

(Scroll down to read the vacancy in Dutch) The Hmm is a platform for internet and digital cultures. Through events, online research dossiers, and educational programmes, we reflect on people’s digital behaviour, the latest internet trends, the mechanisms behind Big Tech and their impact on society. We offer a stage for professionals, as well as ...

Thanks to the folks at Spawning for putting together https://haveibeentrained.com/Join this channel to get access to perks:https://www.youtube.com/channel/UC...

This is an excerpt from my current class on text-to-image models. The full course videos will be posted beginning in December.Join this channel to get access...

🗓️ This will be a 7-days of hacking and fun from 9-16 December 💻 Build with the latest AI tools from OpenAI to create innovative new apps 💡 Work with top AI professionals and learn from them ⚒️ Create your AI app by combining GPT-3, Codex, Dalle-2, and Whisper 🐱‍💻 Register now and let's get started!

Nike - Technology - Hilversum, Netherlands, Netherlands

Welcome to Runway’s AIFF: a celebration of art and artists who embrace new and emerging AI techniques in filmmaking.

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in

My new book: Big Data. Big Design: Why Designers Should Care about A.I. . Order here . What does this topic have to do with you? Designers stand at the verge of a great professional opportunity: artificial intelligence. This technology enables computers to study the world and make predictions using unstructured data. We can speak to machines—and machines can…

Experiential AI is proposed as a new research agenda in which artists and scientists come together to dispel the mystery of algorithms and make their mechanisms vividly apparent. It addresses the challenge of finding novel ways of opening up the field of artificial intelligence to greater transparency and collaboration between human and machine. The hypothesis is that art can mediate between computer code and human comprehension to overcome the limitations of explanations in and for AI systems. Artists can make the boundaries of systems visible and offer novel ways to make the reasoning of AI transparent and decipherable. Beyond this, artistic practice can explore new configurations of humans and algorithms, mapping the terrain of inter-agencies between people and machines. This helps to viscerally understand the complex causal chains in environments with AI components, including questions about what data to collect or who to collect it about, how the algorithms are chosen, commissioned and configured or how humans are conditioned by their participation in algorithmic processes.

Quasi Market | The First Ever AI Marketplace

Call for fellows 2023 open until December 11, 2022 Open Climate seeks seven (7) mid career professionals for the 2023 Open Climate Fellowship Program. We welcome applicants from backgrounds across …

The aim of this conference is to interrogate how an intercultural approach to ethics can inform the processes of conceiving, designing, and regulating artificial intelligence (AI).

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Nora N. Khan assembles a cast of luminaries to consider the far-reaching implications of AI and computational culture. –$40

It’s difficult to predict the negative impacts of an idea or invention, but certain frameworks can help entrepreneurs see a little bit further.

serpentineuk went live on Twitch. Catch up on their Science & Technology VOD now.

Thoughts on prompts and search boxes

This online interdisciplinary colloquium will explore avant-garde artistic legacies and their boundary-crossing futures.

A new device allowed a paralyzed patient to "speak," spelling out full sentences in real-time with an error rate of about 8%.

A one-year graduate degree program for Digital Product Design.

Vincent Warmerdam builds a lot of NLP tools (https://github.com/koaning). Many of these tools target the scikit-learn ecosystem and there's a theme of labeling across many of them. A recent focus of his stack of tools is to improve training data. In this video, Vincent and Jay discuss a few of these tools and show how they work together. These tools are discussed in the video: - Human-learn: a toolkit to build human-based scikit-learn components - Doubtlab: a toolkit to help find doubtful labels in data - Embetter: A library that makes it very easy to use embeddings in scikit-learn - Bulk: a library that uses embeddings to leverage bulk labeling The talk includes live demos for each and to show how some simple tricks can go a long way. === Join the Cohere Discord: https://discord.gg/co-mmunity Discussion thread for this episode (feel free to ask questions): https://discord.com/channels/954421988141711382/1042163984817721527 Vincent on Twitter: https://twitter.com/fishnets88 human-learn: Natural Intelligence is still a pretty good idea. https://koaning.github.io/human-learn/index.html https://github.com/koaning/human-learn/ doubtlab: Doubt your data, find bad labels. https://koaning.github.io/doubtlab/ https://github.com/koaning/doubtlab embetter: just a bunch of useful embeddings https://github.com/koaning/embetter bulk: A Simple Bulk Labelling Tool https://github.com/koaning/bulk Calmcode: Code. Simply. Clearly. Calmly. Video tutorials for modern ideas and open source tools. https://calmcode.io/ About The Speaker: Vincent worked as an engineer, consultant, researcher, team lead, and educator in the past. Currently, he works as a Machine Learning Engineer over at Explosion, the company behind spaCy and Prodi.gy. In addition to his work at Explosion, he also maintains many scikit-learn-related plugins as well as a popular learning resource over at calmcode.io. He's also a frequent speaker at conferences where he defends common sense over the hype in ML. === Contents 0:00 Introduction 3:06 Tools for Data Quality 9:18 human-learn: Natural Intelligence is still a pretty good idea. 12:28 human-learn: demo 27:11 doubtlab: Doubt your data, find bad labels. 42:35 embetter: just a bunch of useful embeddings 46:16 embetter: demo 58:10 bulk: A Simple Bulk Labelling Tool 1:00:20 bulk demo: exploring text data 1:10:47 bulk demo: exploring images 1:16:20 Why use the scikit learn API? What are the benefits and limitations? 1:17:22 Programmer productivity tips

Steamship is building a platform to put Language AI in the hands of all developers. Plympton is partnering with Steamship on a fellowship program to explore the intersection of tech & literature. You’ll join a two-month-long fellowship in which we’ll coach you through building new features for Writing Atlas. We’ve planned each feature for a smooth development experience, and the results will be something you can show off in production.