Vector Institute

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Vector Institute

Vector Institute

@VectorInst

The Vector Institute is dedicated to AI, excelling in machine & deep learning research. AI-generated content will be disclosed. FR: @InstitutVecteur

Toronto Se unió Mart 2017
542 Siguiendo29.1K Seguidores
Vector Institute retuiteado
Rahul G. Krishnan
Rahul G. Krishnan@rahulgk·
Introducing MDM-Prime v2: 📎 Paper: arxiv.org/abs/2603.16077 🌟 Page: chen-hao-chao.github.io/mdm-prime-v2 with @chenhao_chao @j3soon @jwquan_0102 @cymaxwelllee AI Labs: ~ hundred K GPUs. Sovereign AI & academia: ~10s K GPUs. To reach the frontier from outside, change the game. (1/4)
Chen-Hao (Lance) Chao@chenhao_chao

(1/7) We introduce MDM-Prime-v2 which scales 21.8× better than autoregressive models (ARMs) in compute-optimal comparisons. 📎 Paper: arxiv.org/abs/2603.16077 🌟 Blog: chen-hao-chao.github.io/mdm-prime-v2 ⌨️ Github: github.com/chen-hao-chao/… Here’s how we did it👇:

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Schwartz Reisman Institute
Join us in-person, or online, this Wednesday for a special SRI Seminar Series event with @ZhijingJin (@UofTCompSci). Talk: "Emergent AI safety risks in multi-agent LLMs." 📅 Wednesday, March 18, 2026 ⏰ 12:30–2:00 PM Register: uoft.me/cfx
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Eirene Seiradaki
Eirene Seiradaki@EireneThinks·
What if the future of AI isn’t one massive model but many models collaborating? I invited Prof. Evan Shelhamer to speak at our #AI Solutions TownHall at @RBCBorealis on multi-model systems. The best part of my role: connecting industry teams with emerging ideas from academia. #ML
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Vector Institute
Vector Institute@VectorInst·
⏰ FINAL CALL: One week until Vector's $17.5K AI Scholarship’s March 18 (4PM ET) deadline Starting an AI master's program in Ontario for 2026-27? Your program nominates you – contact your administrator NOW about their internal deadline! Beyond funding, recipients gain: ✅ 980+ researcher network ✅ Exclusive mentorship & career opportunities ✅ 92% employment rate ecosystem Don't miss out! na3.hubs.ly/y0n6Nt0
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Vector Institute
Vector Institute@VectorInst·
Remarkable 2026 keeps inspiring! 🌟 Our Day 1 conference presentations are now available to watch in full online: ✨ Research insights ✨ Industry perspectives ✨ Cutting-edge innovations Relive the breakthroughs: na3.hubs.ly/y0n1W90
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New Scientist
New Scientist@newscientist·
Chris Maddison was just an intern when he started working on the Go-playing AI that would eventually become AlphaGo. A decade later, he talks about that match against Lee Sedol and what came next #Echobox=1773079441" target="_blank" rel="nofollow noopener">newscientist.com/article/251845…
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Vector Institute
Vector Institute@VectorInst·
🎯 Vector's Dhanesh Ramachandram presented CRISPNAM-FG research at IASEAI'26 in Paris – demonstrating how to build interpretable health care AI by design, not as an afterthought. Tested on 100,000+ patients with diabetes, this work shows what "AI safety and ethics in action" looks like. Read more: na3.hubs.ly/y0m12w0
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Nolan Quinn
Nolan Quinn@nolanmquinn·
Ontario is leading the way in AI and today that leadership was on full display at the Ontario AI Summit. Nearly 33,000 students are now enrolled in AI-related programs across our colleges and universities, and AI jobs have grown to almost 219,000 across the province. The talent pipeline is strong and growing even stronger. With $2B invested in made-in-Ontario research, $72M supporting 157 AI projects and thousands of work-integrated learning opportunities, we are building the workforce that will power our economy and protect Ontario for decades to come. #ProtectOntario #ONpse
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Vector Institute
Vector Institute@VectorInst·
🏊 Dive deeper into the groundbreaking research at Remarkable 2026! Discover the full list of 60 research posters on display from Day 2 of the conference, with breakthrough work across: 🌟 Health care AI innovations 🌟 Responsible AI development 🌟 Foundation model advances Browse the collection: na3.hubs.ly/y0lbY50 #Remarkable2026 #AICanBeRemarkable
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Vector Institute@VectorInst·
Doctors treating diabetes patients face a dilemma: predict foot complications vs other competing health risks using "black box" AI they can't trust. New research introduces CRISPNAM-FG – an AI model that's both accurate AND transparent. Tested on 100,000+ patients, it shows exactly how each risk factor contributes to predictions. Listen to our 3-min breakdown and learn more: na3.hubs.ly/y0l6yV0
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Vector Institute@VectorInst·
Missed Remarkable 2026? Stream Day 1 on demand – this week only! 🎬 ✨ Glenda Crisp (Vector) x Nick Frosst (Cohere) – Canada’s AI ecosystem ✨ Chris Maddison (Vector Faculty) – learning from scarce data ✨ Ankita Upadhyay (Thomson Reuters) – responsible agentic AI guardrails ✨ Priyank Jaini (Google DeepMind) – video models revolutionizing computer vision ✨ Alán Aspuru-Guzik (Vector Faculty) – autonomous AI scientists Watch now before it’s gone: na3.hubs.ly/y0l24-0 Available until Friday, February 27 at 11:59 PM ET. #Remarkable2026 #AICanBeRemarkable
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Vector Institute@VectorInst·
Remarkable 2026 complete! 🌟 Thanks to our workshop leaders, 50+ poster presenters, & incredible community who brought the collaborative energy that drives Canadian AI leadership The conversations continue → innovations we can't imagine yet 🚀 Thank you all for making Remarkable 2026 truly remarkable. #Remarkable2026 #AICanBeRemarkable
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Vector Institute@VectorInst·
🔬 50+ research posters showcasing AI's real-world impact at Remarkable 2026, spanning: + Voice-controlled surgery for global health + Ethical AI mental health support + Language model bias detection + Clean energy catalyst design + Computer mouse cybersecurity hacks + and many more The future of responsible AI innovation is unfolding here. 🚀 #Remarkable2026 #AICanBeRemarkable
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Vector Institute
Vector Institute@VectorInst·
The conversations coming out of our Remarkable 2026 workshops are 🔥🔥🔥 Discussions are taking place around: 🔒 Privacy & Security – real-world deployment issues like the conflicting priorities of trustworthy AI 🤖 Agentic AI – AI agents as collaborator with humans in control, and how collaborations between researchers and industry partners can accelerate practical AI agent adoption 🧠 LLM Frontiers – manipulation and stagnation issues, and how to bridge the “trust deficit” of enterprise adoption through AI-reasoning with human-validation workflows. Canadian AI leadership = shared industry/research expertise in action. 🤝 #Remarkable2026 #AICanBeRemarkable
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Peter Bethlenfalvy
Peter Bethlenfalvy@PBethlenfalvy·
Thank you to @VectorInst for inviting me to share a few words at their #Remarkable2026 conference to highlight how our government is working to foster innovation and boost competitiveness in Ontario. Now more than ever, we must continue investing in the artificial intelligence sector to protect Ontario-made intellectual property and ensure it is commercialized right here at home.
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Vector Institute
Vector Institute@VectorInst·
Day 2 of Remarkable 2026 is exclusively in-person, and all about Research → Action 🔧 3 workshop tracks: 🔒 Privacy & Security 🤖 Agentic AI 🧠 LLM Frontiers + 59 research posters from across Vector’s community 🔬 Stay tuned for updates throughout the day, and if you’re with us in person, don’t forget to tag us in your posts! #Remarkable2026 #AICanBeRemarkable
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Vector Institute@VectorInst·
Day 1 of Remarkable 2026 complete! 🌟 Massive thanks to Premier Ford, Minister Bethlenfalvy, Glenda Crisp, Nick Frosst, Chris Maddison, Ankita Upadhyay, Priyank Jaini & Alán Aspuru-Guzik, as well to our audience both in person and online! This concludes our virtual programming, but we look forward to sharing more insights right here from our exclusive in-person programming tomorrow! Stay tuned for more insights, transformed into actionable strategies! #Remarkable2026 #AICanBeRemarkable
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Vector Institute@VectorInst·
Remarkable 2026’s afternoon keynotes delivered breakthrough insights: Priyank Jaini (Google DeepMind): Video models driving computer vision paradigm shift – even figuring out how to do tasks that text-based LLMs still struggle with, like understanding celestial gravity and puzzle solving. Alán Aspuru-Guzik (Vector Faculty Member): El Agente ecosystem, an AI model designed to accelerate scientific discovery for everyone – the model can answer PhD-level questions, bound only by the human bandwidth behind it. #Remarkable2026 #AICanBeRemarkable
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