Two of our #ICML papers were selected for an oral presentation (Top 1.5%)! 1. Learning Useful Representations of Recurrent Neural Network Weight Matrices (arxiv.org/abs/2403.11998) 2. GPTSwarm: Language Agents as Optimizable Graphs (arxiv.org/abs/2402.16823)

We’re excited to introduce Inherent, a lab designed from scratch to build AI agents that discover new knowledge. The coming era of machine-driven scientific inquiry demands a new kind of research institution and a new kind of AI. To achieve our mission, we live within the experiment, recursively self-improving the entire research organisation. We investigate questions including: - What does ‘AI taste’ look like in the sciences, and how can we build an institution that embraces this new aesthetic of discovery? - What new kinds of human-machine teaming will make the most of AI that can truly innovate? - How can we build recursive self-improvement at the collective level that continually increases human agency over outcomes? We have just closed a $50m seed round led by @IndexVentures and @radicalvcfund, with participation from other outstanding investors including NVentures (@nvidia's venture capital arm), @buildexante, Metaplanet, Macroscopic, @MythosVentures, Charlie Songhurst, @chalfs, @jluan, @dwarkesh_sp, @Thom_Wolf, @j_foerst and @maxjaderberg. We are advised by @matthewclifford. Inherent is a Public Benefit Corporation headquartered in London.

I'm in Singapore for #ICLR2025! DM me if you’d like to meet and chat about Creativity and Curiosity in AI, AGI, Agents, or exciting opportunities at @GoogleDeepMind. You might even get a free Italian coffee ☕️ :)

If you are working on World Models, you should definitely submit your paper to our #ICLR2025 workshop!

I'm thrilled to announce that I'm joining the Discovery team at @GoogleDeepMind in London as a Senior Research Scientist starting this January! It's incredible what the team has achieved in the past decade and I am so looking forward towards more scientific discoveries with AI.

If you are interested in using AI for scientific discovery, this project might be perfect for you!

I had an amazing time in Riyadh meeting with many industrial partners and presenting our recent advancements! #GlobalAISummit #GainSummit

Had a great time presenting at #ICML2024 alongside @idivinci & @LouisKirschAI. But the true highlight was @SchmidhuberAI himself capturing our moments on camera! #AI #DeepLearning

🚀 Overdue launch of my personal website faccio.ai/! Check out my latest AI projects. I would like to thank my ancestors for giving me a last name that means "I make" in Italian. So, yes, I make #AI 🤖

Our paper, "Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning," was accepted at #EWRL. Congratulations to Yuhui Wang and the team! Paper: arxiv.org/abs/2406.08404 #AI #DeepLearning #RL

Heading to #ICML2024 for a busy week with 3 posters and 2 oral presentations. If you’re interested in discussing collaborations, visiting, or hiring opportunities at @AI_KAUST with @SchmidhuberAI, feel free to connect!

🚀Want to cut inference times by up to 50% and save money when using Transformer/CNN/Consistency-based diffusion models? Check out our latest work on Faster Diffusion Through Temporal Attention Decomposition led by @HaoZhe65347, featuring @SchmidhuberAI. Paper: arxiv.org/abs/2404.02747v2 Code: github.com/HaozheLiu-ST/T-GA… #AI #DeepLearning #DiffusionModel

Can neural networks with 5000 layers improve long-term planning? 🤖 Check out our latest research with @SchmidhuberAI, @oneDylanAshley, and team: arxiv.org/abs/2406.08404 #AI #DeepLearning #RL

Recently, I had the pleasure of giving a talk at Microsoft Research Asia in Beijing on 'Learning to Extract Information from Neural Networks.' Met lots of brilliant minds there! #MSFTResearch

Check out our most recent work!