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.

🚀 Exciting News! 🚀 We are thrilled to announce that two of our research papers have been accepted to NeurIPS 2024 including one 💡 Spotlight! 💡 Stay tuned for more updates as we head to NeurIPS in December! 🙌 Papers: arxiv.org/abs/2406.03537 arxiv.org/abs/2406.05207

Feeling fresh! Our website just got a makeover, and we’re thrilled to unveil our brand-new blog section! Dive into exciting content about our research, engineering, and product insights in machine learning. Check it out and let us know what you think! layer6.ai

🚀 We’re hiring! Join our team at the intersection of machine learning & finance. We're looking for: 🔹 Software Engineers 🔹 Product Owners 🔹 Research Scientists Help us innovate in the financial industry with cutting-edge tech! See our open positions at layer6.ai/careers/

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: layer6.ai/smart-dataset-… #AI #MachineLearning #DataScience

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!

New Blog Alert! Parallel processing in Python can supercharge performance, but it also comes with challenges—especially memory errors that can be tricky to diagnose and fix. In this blog post, we discuss how to avoid common pitfalls. layer6.ai/troubleshootin…

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. arxiv.org/abs/2410.12916 github.com/layer6ai-labs/…

🚀 #ICLR2025 & #CHI2025 are just around the corner — and we’re excited to welcome you to our Bidirectional 👫Human-AI🤖 Alignment events! 🏅 "Golden Sponsors"🏅 A heartfelt thank you to our two generous Golden Sponsors: 🌟Prolific and 🌟Layer 6 AI of TD Bank! Their

Can neural networks learn to map from observational datasets directly onto causal effects? YES! Introducing CausalPFN, a foundation model trained on simulated data that learns to do in-context heterogeneous causal effect estimation, based on prior-fitted networks (PFNs). Joint

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning: arxiv.org/abs/2506.07918

And we're back. Kicking off this session is Tomi Poutanen, who will give us some deep learning advice for TV recommendations. #RecSysTV

Using #deeplearning Layer 6 AI obtain more accurate models, less complex feature spaces, and is able to have many more inputs for #recsys2016

We have Comcast Verizon Netflix and Layer 6 AI in our panel - the future and present of #TV #recsys2016

Inclusion here makes our moms proud! Thx Shivon Zilis James Cham Bloomberg Beta Harvard Business Review. x.com/roybahat/statu…

Seizing the #AI future. The Globe and Mail op ed I wrote w Geoff Hinton, Tomi Poutanen, Rich Zemel & Ed Clark. theglobeandmail.com/report-on-busi…

Super proud of the Layer 6 AI team, winning RecSysChallenge, besting top global tech companies and grad schools. (2016 winner was Alibaba) x.com/recsyschalleng…

We won!... x.com/recsyschalleng…