Hi everyone, I have a new paper about how to make planning agents avoid delusional subgoals, which will be discussed tomorrow at the NeurIPS SafeGenAI workshop (3-5 PM, in East Exhibition Hall A) Please drop by!
#NeurIPS2024#NeurIPS#AIsafety
👏 You're invited to the @RBCBorealis 2024 Fellowships Award Ceremony! Open to members of Montreal’s #AI community, this event will showcase the next generation of #research talent and foster valuable connections in Canada's AI ecosystem.
📨 Register now: https://t.co/qC3n1GL7e6
Apply to be a Let's SOLVE It Scholar and work on problems that *you* care about with mentorship and resources from @BorealisAI! Find out what the mentees and mentors (incl. yours truly) have to say about the program 👇
https://t.co/fzWQjjE2hV
🚀 Excited to present our latest research at ICLR! Dive into our paper on predicting global events: https://t.co/tOLokI0ni7
📝 For an in-depth look, check out our new blog post on the subject: https://t.co/ETEYOckXYB
#ICLR#MachineLearning#Research
Big news! @BorealisAI has 4️⃣ papers accepted to @iclr_conf 2024!
We're also proud to share that this research was produced as part of our #ML research #internship program. Learn more: https://t.co/e8YChXWvI9
Read our #ICLR2024 papers here ➡️ https://t.co/8dChVN4ivw
🚀 Exciting update from my team at @BorealisAI: Our paper, AutoCast++, has been accepted at #ICLR2024. Learn about our approach to improving event forecasting through LLMs and news analysis. 🌐
[https://t.co/y7MFIYGfaD]
#LanguageModels#EventForecasting
⏰ Clocks ticking... register for your FREE ticket to our Montreal Time Series event on Oct 12 at 5:30 pm ET. Expect a night of exciting research talks, networking and more. 🎟️ Join the meetup group and claim a ticket today:https://t.co/cGDIlzzqAj
👥 Time Series Meetups are BACK! Join us at @BorealisAI's Montreal Lab on Oct 12 at 5:30 pm ET for networking, refreshments, and exciting research discussions. Join our meetup group and register today - spots are limited: https://t.co/E4aiPrSFi1 #timeseries#researchmeetup
Exciting news! Our paper "What Constitutes Good Contrastive Learning in Time-Series Forecasting?" got accepted to @IJCAIconf Workshop on AI for Time Series Analysis, happening this week. Check out our latest blog https://t.co/444S3Lmjm5 to learn more about this work. #IJCAI2023
STUDENTS! Are you looking to gain #ML research experience and enhance your education? Do you want to work on real-life business challenges with a team of machine learning experts ready to support you? Apply for our Winter 2024 #Internships by Sept 4th: https://t.co/32T9jB3hA9.
Great to see @RBC rank #1 in the number of citations of AI papers! @BorealisAI has published in key #AI domains since 2016, leading to advancements in RBC products like AIDEN & NOMI. RBC also holds 8 of the top 10 most influential AI patents. Full report: https://t.co/3K7fYA5aWu
What a delightful community! Had a blast showing how AI and art can become our superpowers and encouraging creativity for a better world! ✨️🌎 Thanks for the opportunity @TEDxMIT !
EVENT ALERT: On April 20, we're hosting our in-person Spring 2023 #Montreal Time Series Meetup! Join us at 5:30pm ET @IVADOlabs to hear the latest in #timeseries research, ask questions, network and much more. Register for your FREE ticket: https://t.co/Wu31V2hwtT. #AI#ML
🚨#TimeSeries Blog: Deep learning architectures have improved time series modeling but labels are often unavailable, highlighting the need for alternative self-supervised learning methods. This blog discusses the benefits of using contrastive approaches: https://t.co/5jmwGt1gF3.
New blog post is out: https://t.co/L6PsuXremM
In it, we discuss our new ICLR paper, Scaleformer, which applies multi-scale iterative refinement to time-series forecasting with transformers.
Join us on Feb 9th at noon ET for a broadcasted talk with Tristan Sylvain, ML Researcher at Borealis AI, about ICLR 2023 paper 'Scaleformer: Iterative Multi-scale Refining Transformers for TS Forecasting.' Keep up with the latest in #ML#timeseries. RSVP: https://t.co/Z5bqvAKOMW.