I’ve always believed the No.1 application of AI should be to improve human health.
That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease!
We are turbocharging that goal with $2.1B in new funding.
I am proud to announce my first bill with the ambition to legalise nuclear energy in Ireland. 101 years ago, Ireland broke ground on the Shannon Hydroelectric Scheme. In our past we had an ambition to do what was necessary. Now we must do so again.
https://t.co/jgQouzFEvw
VPS 2.0 Outperforms GPS Alone.
Niantic Spatial’s Visual Positioning System (VPS) matches live camera data to a spatial model for precise 6DoF localization—indoors, outdoors, and in complex environments where GPS fails.
🔹 ~10-15cm accuracy in mapped areas
🔹 Works in GPS-denied environments
🔹 Persistent spatial anchors
Explore this deep dive to learn how VPS works: https://t.co/XNn9Pzp54d
#NianticSpatial #Scaniverse #VPS #GIS #GeospatialAI #GEOINT #PhysicalAI #AI #Robotics
Here at [famous scientist’s name].ai, we’re developing tools to accelerate science. Unlike academia, which has stifled the production of high quality scientific work by demanding it be correct, here at [fsn].ai, we know that you can just do (wrong) things.
So we're slowly getting more information on what spooked Google into setting their post-quantum migration timeline to 2029. Two puzzle pieces dropped today.
Today we share a technical report demonstrating how our drug design engine achieves a step-change in accuracy for predicting biomolecular structures, more than doubling the performance of AlphaFold 3 on key benchmarks and unlocking rational drug design even for examples it has never seen before.
Head to the comments to read our blog.
I'm very excited for the future we have a gemini flash 3.0 level model (in terms of speed and performance) that is open source and can run on a consumer GPU
Maybe to one's surprise, taking KL estimates as `kl_loss` to minimize does *not* enforce the KL.
This implementation, however, is quite common in open source RL repos and recent research papers.
In short: grad of an unbiased KL estimate is not an unbiased estimate of KL grad.
Meet MapAnything – a transformer that directly regresses factored metric 3D scene geometry (from images, calibration, poses, or depth) in an end-to-end way. No pipelines, no extra stages. Just 3D geometry & cameras, straight from any type of input, delivering new state-of-the-art results 🚀
One universal model enables SoTA for:
🔥 Mono Depth Estimation
🔥 Multi-View SfM
🔥 Multi-View Stereo
🔥 Depth Completion
🔥 Registration
… and many more possibilities! – plus everything is metric 🎯
We release code for data processing, training, benchmarking & ablations – everything Apache 2.0!
Details & Links 👇