
Layer 6 AI
@Layer6AI
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Machine learning research with positive real-world impact.
Toronto
Joined September 2016
RT @vahidbalazadeh: Can neural networks learn to map from observational datasets directly onto causal effects?. YES! Introducing CausalPFN,….
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RT @huashen218: 🚀 #ICLR2025 & #CHI2025 are just around the corner — and we’re excited to welcome you to our Bidirectional 👫Human-AI🤖 Alignm….
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Our paper on Text-To-SQL translation accepted at #NAACL2024 has been selected for an oral presentation!🎉.🚀We introduce MSc-SQL, an open-source method that achieves state-of-the-art performance among small language models.
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Our team will be attending #NeurIPS2024 in Vancouver! .Our scientists will be presenting research at poster sessions and workshops—don’t miss the chance to connect with us and explore our latest findings. Let’s shape the future of ML together!
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Choosing the right data matters! 🌟 Learn how CCDR enhances object detection by aligning source & target data with smart clustering & pruning. Boost efficiency & performance with better datasets. 🔍📊 Read more: #AI #MachineLearning #DataScience
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Layer 6 was onstage for this year's premier banking conference held in Seattle! Jesse Cresswell spoke about the future of #GenAI in banking and how it will transform the way we work, but also how to manage emerging risks by integrating #Trustworthy AI practices into applications.
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RT @JordanJacobs10: Super proud of the @Layer6AI team, winning @recsyschallenge, besting top global tech companies and grad schools. (2016….
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We won!.
Congratulations to @Layer6AI to winning the #recsys2017 challenge and to all the top teams who participated!
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RT @JordanJacobs10: Seizing the #AI future. @globeandmail op ed I wrote w Geoff Hinton, @tjpoutanen, Rich Zemel & Ed Clark. .
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Your annual dose of machine intelligence landscape has arrived, corporate leaders edition, by @shivon and @jamescham
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RT @RecSysTV: Using #deeplearning @Layer6AI obtain more accurate models, less complex feature spaces, and is able to have many more inputs….
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