🏙️ After Paris restricted cars, air pollution plummeted. www.washingtonpost.com/climate-solu...

#Sustainability #Climate #Renewables #CleanEnergy #GoodNewsletter

A balanced view of scale in spatial statistical analysis Concepts of spatial scale, such as extent, grain, resolution, range, footprint, support and cartographic ratio are not interchangeable. Because of the potential confusion among the definitions of the....

Gonna have to do a minor tooting of my minor contribution on papers. They are all open access!

nsojournals.onlinelibrary.wiley.com/doi/abs/10.1...

nsojournals.onlinelibrary.wiley.com/doi/full/10....

nsojournals.onlinelibrary.wiley.com/doi/abs/10.1...

‘Women are not weak’: meet Malaysia’s female tiger rangers | CNN Two women from the indigenous Jahai people are re-writing centuries of gender norms to save one of Earth’s most endangered big cats.

On a trip with WWF Malaysia visiting innovative projects connecting sustainable production, habitat conservation, and tiger protection, in part thanks to the hard work of indigenous communities including two female tiger rangers.

🌎
www.cnn.com/2026/01/23/w...

Did u know? If you want to help biodiversity in your outside space, then leave your lawn mower in the shed this summer. Creating a no-mow meadow will form an undisturbed habitat for small souls, rich with wildflowers, free from chemicals & man's meddling 🌿🌱🇬🇧🌱🌍🪲🕷️🐭🦎🐸🦡🦔🐦‍⬛

AI Infrastructure Lock-In: Why PyTorch is the Only Abstraction Layer That Matters | Mark Collier YouTube video by TFiR

PyTorch literally prevents the AI industry's worst nightmare: total hardware fragmentation. Mark Collier, ED of PyTorch Foundation sits down with Swapnil Bhartiya of TFiR to explore the 3 pillars of AI infrastructure (training, inference, agents). Watch the interview: www.youtube.com/watch?v=Wj-P...

🚨New preprint and our results are rather concerning..

We find the "boiling frog" equivalent of AI use. Using large-scale RCTs, we provide *casual* evidence that AI assistance reduces persistence and hurts independent performance.

And these effects emerge after just 10–15 minutes of AI use!

1/

PyTorch Foundation Announces Safetensors as Newest Contributed Project to Secure AI Model Execution 👏 Safetensors minimizes security risks associated w/ model architectures & execution, providing developers with a trusted path to production. See: pytorch.org/blog/pytorch... #PyTorchCon

At #PyTorchCon Europe, Matt White, Global CTO of AI and CTO at PyTorch Foundation provides an update on technical strategy, ecosystem and projects and working groups

#Normalization (LayerNorm/RMSNorm) is foundational. Improved #torchcompile on #H100 & #B200 reaches near SOTA kernel speed—17x faster than eager on backwards—with automatic fusion for peak e2e performance.

https://bit.ly/3PXhSyf

Today at #PyTorchCon EU: Talk at 15:40 CEST.

Welcome to PyTorch Conference Europe 2026 in Paris! Today's program features keynote sessions from leading voices in AI & deep dives on training, inference, GenAI, and focused tracks on responsible AI & compliance, security & privacy, frameworks & compilers, and more. #PyTorchCon

PyTorchCon EU 2026 Keynote

Kicking off #PyTorchCon Europe with Mark Collier, Executive Director of @pytorch.org Foundation & GM of AI & Infrastructure at @linuxfoundation.org Mark's keynote explores how the open source intelligence stack compounds and what it means for the future of AI infrastructure

PyTorch Foundation is excited to welcome Helion as a Foundation-hosted project to standardize open, portable, and accessible AI kernel authoring 🎉 #PyTorchCon

Read more: pytorch.org/blog/pytorch...

What about flying squirrel?

We’re excited to announce the 2026 PyTorch Docathon May 5-19! Refine technical docs, test tutorials in CI, and accelerate the transition from research to production. Open to all skill levels with support on Discord.

RSVP now: https://bit.ly/4sTVLYb

#PyTorch #OpenSource #AI

"PyTorch is probably the most important piece of open source software most enterprise technology leaders have never had a governance conversation about."

Mark Collier at KubeCon on why neutral governance is AI's path to market. Full diginomica.com article: https://bit.ly/4tpIUNa

The PyTorch Ecosystem Working Group welcomes PhysicsNeMo, Unsloth, ONNX, and KTransformers to the Landscape.

This map highlights innovative projects that extend, integrate with, or build upon PyTorch.

Read more: pytorch.org/blog/pytorch-ecosystem-l...

#PyTorch #OpenSource #AI

CFP is OPEN for PyTorch Conference 2026 in San Jose!

Share advancements in Core PyTorch, vLLM, DeepSpeed, and Ray. Blog: https://bit.ly/4c1ShM1

Deadlines:

Sessions: June 7
Posters: July 26
Save with Super Early Bird rates through April 10.

#PyTorchCon

Faster, and a lot cheaper: First all-electric long haul delivery flags new era in Australia trucking A new era of all-electric trucking is being hailed after Australia's first inter-city delivery from warehouse to customers was completed at a much lower

BEV trucking in Australia is now delivering loads faster and for less cost. Not a bad combination, particularly when all your diesel needs to be imported. We can shift from fossil fuels. 🧪🔌💡☀️💨💧🔋 thedriven.io/2026/03/30/f...

🚨 Another update to our generative AI adoption US time series results, we found a way to plot them that kind of looks like two constellations named The Stick and Cowboy Hat

PyTorch 2.11 Release Live Q&A w/ Andrey Talman & Nikita Shulga on Tuesday, March 31, 10 AM PT.

-Differentiable Collectives
-FlexAttention: FlashAttention-4 on Hopper/Blackwell
-MPS Operator expansion
-RNN/LSTM GPU Export
-XPU Graph

Register: https://pytorch.org/event/pytorch-2-11-release-live-qa/

PyTorch and Nebius collaborated to speed up DeepSeek-V3 pre-training (16B & 671B) on 256 NVIDIA B200 GPUs. Combining MXFP8 via TorchAO and DeepEP yielded +41% throughput vs BF16.

Full blog:
https://bit.ly/4uN3yIJ

Unfortunately Monterey only had viewers or derived products

And another one for my fellow geonerds - where is the latest to read up on using consumer drones to create orthophotos of some land? I knew there were several places before but never followed them too closely. Well now I am really interested!
Thanks for any pointers!

This one is for my geo LIDAR homies. I want to get the finest detail point cloud data for a small area central California. The only resource I can find to download are ALL THE POINTS IN CA. Better suggestions?

No nudge is good enough? Limits of accuracy prompts for vaccine misinformation in Brazil A promising line of research suggests that prompting individuals to reflect on the accuracy of online content may reduce the spread of misinformation …

New study finds that nudging people to be more reflective did not reduce susceptibility for vaccine misinformation. Accuracy nudges can be a quick way to respond more thoughtfully, but they don't always work well with highly polarized topics.
www.sciencedirect.com/science/arti...

PyTorch 2.10 is now optimized for Intel Core Ultra Series 3 processors to bring high-performance AI to the PC and edge.

Read our latest blog from the Intel PyTorch and Client AI SW teams for the full technical deep dive and benchmarks:

https://pytorch.org/blog/pytorch-2-10torchao/

Frontiers | Fine-scale proximity to offshore wind turbine foundations increases biomass of demersal fish species Offshore wind turbine fixed-bottom foundations provide artificial hard substrate through the water column that encourages marine flora and fauna to colonise ...

Frontiers | Fine-scale proximity to offshore wind turbine foundations increases biomass of demersal fish species www.frontiersin.org/journals/mar... | A common finding. Offshore wind infrastructure is habitat for fish, just like a shipwreck or artificial reef. 🧪🦑🌎🐠

Build Accelerated, Differentiable Computational Physics Code for AI with NVIDIA Warp | NVIDIA Technical Blog Computer-aided engineering (CAE) is shifting from human-driven workflows toward AI-driven ones, including physics foundation models that generalize across geometries and operating conditions.

Build differentiable computational physics with NVIDIA Warp. It bridges CUDA and Python for high-performance GPU kernels with native auto-diff. Interoperable with PyTorch, JAX, and NumPy.

https://bit.ly/4uG78UQ

TorchSpec and Mooncake teams introduce TorchSpec: a torch-native framework for speculative decoding training. By streaming hidden states via Mooncake, it enables disaggregated pipelines where inference and training scale independently.

https://bit.ly/47eBfIR

GDPA introduces an attention kernel for RecSys, replacing softmax with flexible activations. Deployed in Meta’s GEM model, it achieves 1,145 BF16 TFLOPs (97% utilization) on NVIDIA B200, outperforming FA4 by 3.5× in short K/V settings.

https://bit.ly/418LQl8