Researchers across 20+ institutions incl. ETH, Stanford, Harvard, KAIST, UNSW have spent months building TimeNet.
the goal: make it easier to train and benchmark temporal foundation models that understand how the world changes over time.
it's open source, and today we're kicking off a global hackathon. Come join us: https://t.co/o219dZbR3y
(and earn $50k in compute and cloud credits)
We’re releasing TimeNet today, joining forces with researchers across the US, Europe, Asia and Australia to build the future of Temporal AI that understands our world as it changes.
An open data standard and scalable infrastructure for next-generation Temporal Foundation Models.
The first few weeks have been amazing. Lots of building, team swims, runs, lunches and offsites.
We're building a frontier AI lab in Switzerland. Want to join us? 🇨🇭
It's about time. ⏱️
From a beer at Stanford to a frontier AI lab in Zurich: 🍻🇨🇭
I've joined Aionic Labs, alongside my work at ETH's Agentic Systems Lab!
I've known the four founders as friends and colleagues for years. When they reached out about joining the team, it was an easy yes! 🚀
My focus: forward-deployed engineering.
Taking cutting-edge AI research into real-world applications. Our first project with a global manufacturer is already underway!
Research, infra, platform & deployment in one small team → incredibly fast feedback loops.
ECGs, industrial sensors, telemetry, financial markets: time series are everywhere.
At Aionic Labs, we're building time-series language models (TSLMs) that understand these signals alongside text, reason over them, and generate predictions and actions.
Huge potential.
Wild day for banners at the office. Happy neighbors @PalantirTech! 👋
Join us on the bright side (first floor)! #OpenScience
P.S. Nothing to do with the other banner. Just coincidental timing.
Excited to share that members of our lab co-authored 6 papers accepted at #ICML2026, including three Main Track and three Workshop papers 🔥🚀
📄 Accepted papers:
▪️ OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data [Main Track]
▪️ Auditing Emotion-Vector-Steered Political Bias in Open-Weight LLMs [AI4GOOD Workshop]
▪️ Reinforcement Learning of Karma Bidding Strategies [NExT-Game Workshop]
▪️ Cinematic Source Separation with Dialogue-Driven Sidechain Ducking [Workshop on Machine Learning for Audio]
▪️ Reinforcement Learning for Tool-Calling Agents in Fast Healthcare Interoperability Resources (FHIR) [Main Track]
▪️ Preserving Plasticity in Continual Learning via Dynamical Isometry [Main Track]
@robertjakob@PatrickLanger20@gaborhollbeck@f14wn@DerRiehl@atoof_sh@deepqlearning@kev_osull@cs06thegreat@nzuma0@maxrosenblattl
Huge congratulations to everyone involved. We are looking forward to presenting these works, reconnecting with colleagues, and meeting new friends in Seoul 🇰🇷
🔗 Full links in the comments.
Excited to share our new preprint: Detecting Drunk Driving Using Off-the-Shelf Smartwatches. 🚗⌚
We investigate whether smartwatches can detect alcohol-impaired driving using HRV-derived physiological signals and wrist accelerometer data.
📄https://t.co/aXFgDAM5TA
Ein Erkennungssystem bei #Alkohol am Steuer haben Forschende der HSG, der @unibern und der @ETH entwickelt. Mittels Kamera, Sensoren und #MachineLearning soll das #Auto erkennen, wenn der Fahrer zu tief ins Glas geschaut hat. #10vor10@srf https://t.co/R4A9necyYk
News update: Our in-vehicle drunk driving detection research highlighted on Swiss news magazine 10vor10 on SRF!
Watch it here (with German subtitles): https://t.co/kwn8jtYpcA
Partners: @ETH@unibern@HSGStGallen@BoschGlobal
Wir möchten helfen, Unf��lle unter Einfluss von Alkohol zu vermeiden. Für eine Fahrstudie auf dem Waffenplatz in Thun suchen wir deshalb Teilnehmende: https://t.co/zLWDpbj1Vj
@ETH @unibern @HSGStGallen @d_mtec @c4dhi
Für eine Studie suchen wir Personen, welche regelmässig Auto fahren und im besten Fall vom/in den Grossraum Zürich pendeln. Dafür steht den Studienteilnehmenden unser Fahrzeug zwei Wochen lang kostenlos zur Verfügung (exklusiv Treibstoff). https://t.co/gpW6HYX6JX @ETH@d_mtec