⚛ Can small quantum computers accelerate AI on massive classical data? Yes!
I am absolutely thrilled to share our new work proving *honest* exponential quantum advantages in broadly applicable classical tasks. 🧵👇
Paper: https://t.co/q1txrakSUJ
Blog: https://t.co/77svcuQ1Yl
@AndrewYNg@fperez_org Thank you, Andrew! It was wonderful to spend time with you discussing the evolution of interactive computing and AI. I'm deeply grateful for the incredibly generous comments here. Thank you to everyone who shared their experiences.
Hanging out with Project Jupyter co-founder @ellisonbg. If not for him and @fperez_org we wouldn’t have the coding notebooks we use daily in AI and Data Science. Very grateful to him and the whole Jupyter team for this wonderful open-source work!
You can now use Bedrock AgentCore Memory with LlamaIndex Agents!
Handle both long-term and short-term memory to give your agents the ability to recall important facts during long sessions, all managed by AWS infrastructure!
Features:
- secure storage
- access control
- built-in scalability
https://t.co/bZe2UdhlwK
I am thrilled to share this milestone for Jupyter - the Jupyter Foundation! We have been working on this for a long time and are appreciative of everyone in the Jupyter community who has helped to bring Jupyter to this place. @ProjectJupyter@linuxfoundation
Millions of researchers, scientists, and engineers rely on @ProjectJupyter 📓 Today, the LF is proud to announce the launch of the Jupyter Foundation to support Project Jupyter’s software, standards and services for interactive computing.
🔗https://t.co/xPuRqGcqi1
#OpenSource
Run MATLAB code directly in Jupyter notebooks, JupyterLab, and JupyterHub using the MATLAB kernel.
Just open a browser-based MATLAB environment from Jupyter to directly access MATLAB apps and features.
Get started with our repo: https://t.co/yYzpYRSr5V
#Jupyter#Coding
The next release of Jupyter AI will add support for two exciting new features 🎉
➡️ Local models via @ollama
➡️ Streaming responses
Follow the repo to be notified when the release is out!
https://t.co/lz4i3m4XG4
Now live: The official PyTorch Documentary! 📽️
We hope this story of PyTorch inspires greater contributions, attracts more contributors to the project, and fosters widespread recognition of PyTorch’s significance in the open source community.
https://t.co/v3EeCO9rku
The pre-recorded lectures (https://t.co/oKDQHzkPJf) and interactive Jupyter notebooks (https://t.co/5kfcNLEpJF) of the Solid State Physics course at Aalto in 2024 are available online. Among others, topological matter, superconductivity, quantum magnetism, and fractional matter.
🗓️ Save the date: Virtual Premiere of the PyTorch Documentary!
Join us on June 25 at 10am PT / 1pm ET to watch the livestream of the documentary with some of the key players that have shaped the future of PyTorch. Catch a sneak preview below 👀
🔗 https://t.co/kfmdf0Mzne
☁️ `langchain-aws` integration package 🤝
We're really excited to partner with Amazon Web Services @awscloud in the launch of our latest partner package.
You can now access Bedrock chat models from @AnthropicAI, @MistralAI, @Cohere, @AI21Labs, your custom SageMaker models, Amazon Kendra Enterprise Search, and even more AWS products via the connector.
See our list of AWS integrations here: https://t.co/ln2UIlcxa0
The Vega Project is happy to announce the release of version 5.3.0 of the Vega-Altair Python visualization library. This release has been 4 months in the making and includes enhancements, fixes, and documentation improvements from 11 contributors. Highlights in 🧵
Congratulations to Brian Granger and the entire Project Jupyter team for being recognized as one of five Champions of Open Science by @WHOSTP
Project Jupyter has had an incomparable impact on the data science and scientific computing community—since 2011, the Jupyter Notebook has become a defacto standard tool used by millions of users worldwide across every possible academic, research, and industry sector.
It continues to be a foundational tool for our AWS customers in data and machine learning and is integrated into multiple AWS products and services, including SageMaker. We are proud to be a principal corporate sponsor and contribute to this open source project that is helping scale machine learning development faster.
https://t.co/nmSPZHuXVM