Episodes
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Uncover the secrets of successful scientific communication at our upcoming panel discussion. Join Marzieh Fadaee with Jay Alammar and Shayne Longpre as they share their insights on the art of translating scientific concepts.
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Join us for an panel discussion exploring the role of mentorship in the dynamic field of machine learning research. Our panelists will explore the impact of mentorship on shaping the careers, from fostering innovation to navigating pivotal moments, and considering when one is ready to become a mentor themself. Following the discussion, there will be an allocated Q&A session, offering attendees the opportunity to engage directly and seek clarification on any aspect of mentorship in ML research.
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Episodes manquant?
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Join us for a panel discussion with Bryan Li as part of our 'Roads to Research' series on the different pathways to graduate studies in ML research. You'll hear from speakers who have all had different journeys through ML grad programs. Following the discussion, there will be an allocated Q&A session, offering attendees the opportunity to engage directly and seek clarification on any aspect of grad studies in ML research.
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Prof. Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a Distinguished Scientist at MSR. He is a fellow at the Canadian Institute for Advanced Research (CIFAR) and the European Lab for Learning and Intelligent Systems (ELLIS) where he also serves on the founding board. His previous appointments include VP at Qualcomm Technologies, professor at UC Irvine, postdoc at U. Toronto and UCL under supervision of prof. Geoffrey Hinton, and postdoc at Caltech under supervision of prof. Pietro Perona. He finished his PhD in theoretical high energy physics under supervision of Nobel laureate prof. Gerard ‘t Hooft.
Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015, he serves on the advisory board of the Neurips foundation since 2015 and has been program chair and general chair of Neurips in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair of MIDL 2018. Max Welling is recipient of the ECCV Koenderink Prize in 2010 and the ICML Test of Time award in 2021. He directs the Amsterdam Machine Learning Lab (AMLAB) and co-directs the Qualcomm-UvA deep learning lab (QUVA) and the Bosch-UvA Deep Learning lab (DELTA).
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough. -
Join us for a panel discussion with industry experts as we delve into the world of applying for ML research roles in industry. You'll hear directly from industry ML researchers at various stages of their careers, and the perspective of a talent recruiter, as they share their insights, experiences, and advice on navigating the job application process. We hope to provide valuable insights for ML researchers looking to transition into industry research roles.
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Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough.
This Fireside Chat features Zeynep Akata, Professor at TUM & Director at Helmholtz Munich. Beyza Ermis, Research Scientist at Cohere For AI, will sit down with Zeynep for a conversation on "Interpretable and Reliable Machine Learning via Communication." -
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough.
This Fireside Chat features Dr.Alice Oh, a professor at KAIST, School of Computing and Director of the MARS AI Research Center. She will be diving into Cross Cultural Aspects of LLMs with our very own Beyza Ermis, Research Scientist, at Cohere For AI! -
Let's demystify ML research. This panel hosted by Marzieh Fadaee focuses on how to ask research questions, featuring insight and advice from experienced researchers.
Discussion includes:
-some practical strategies or techniques you use for generating and refining research ideas in the field of ML
-common pitfalls or mistakes that ML researchers should avoid when formulating research questions
-focus on a specific niche or sub-field of ML versus exploring a variety of topics
Look forward to a lively discussion, followed by audience questions.
About the speakers
- Stella Biderman: I am a mathematician and theoretical computer scientist interested in a variety of types of computational research, including artificial intelligence, combinatorics, and data science. Currently, I do research developing new techniques and new applications of established techniques in AI and machine learning to data analysis, especially social network analysis. Recently I have been focusing on sociopolitical and ethical implications of computational decision making.
- Tim Bettmers: I am a graduating PhD student at the University of Washington advised by Luke Zettlemoyer working on efficient deep learning at the intersection between machine learning, natural language processing, and computer systems with a focus on quantization and sparsity. My main research goal is to empower everyone to make AI their own. I do this by making large models accessible through my research (QLoRA, LLM.int8(), k-bit inference scaling laws, Petals, SWARM) and by developing software that makes it easy to use my research innovations (bitsandbytes).
- Mostafa: I'm a Research Scientist at Google Brain, where I work on machine learning, in particular, deep learning. My areas of interest include self-supervised learning, generative models, training giant models, and sequence modeling. Before Google, I was doing a PhD at the University of Amsterdam. My PhD research was focused on improving the process of learning with imperfect supervision. I explored ideas around using injecting inductive biases into algorithms, incorporating prior knowledge, and meta-learning the properties of the data using the data itself, in order to help learning algorithms to better learn from noisy or/and limited data.
- Eugene Cheah: I am currently the CEO / Co-Founder at Recursal AI and currently work on: RWKV : Opensource foundation model under the Linux Foundation, uilicious.com : Low-Code UI Testing, various other opensource projects, most notable : GPU.JS. In the past, I worked as a developer / project manager at multiple banks and insurance companies and developer at multiple startu -
The Roads to Research Program aims to showcase everything it takes to be an ML researcher, with a particular focus on elements of the process that are less often spotlighted.
To kick it off, head of C4AI, Sara Hooker will give her presentation “Your journey into research: lessons to live by.” This interactive session will help you think about the research process anew, covering such topics as how to find collaborators, consideration for your first research endeavor, and ways to know whether you are working on something that is scientifically meaningful.
Look forward to future Roads to Research sessions on:
💡 research ideation,
🤝 applying to research roles,
✨ connecting with mentors,
💪 and interactive calls to leverage the strength of our collective expertise -
Cohere For AI’s series on AI & Technical Governance explores the landscape of AI policy and governance with experts and leaders from industry, government, academia, and civil society. Join us as we gather different perspectives on topics ranging from translating between research and policy to designing sociotechnical safety evaluations.
In this session, C4AI’s Policy & Responsible AI Lead, Aidan Peppin, is joined by Bran Knowles, Professor of Sociotechnical Systems, Lancaster University and Shahar Avin, Senior Research Associate at Centre for the Study of Existential Risk. Bran and Shahar will sit down with Aidan for a conversation on "Tangible trustworthiness for AI systems" -
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough.
This Fireside Chat features Mirella Lapata, Professor at School of Informatics, Edinburgh University. Marzieh Fadaee, Sr. Research Scientist at Cohere For AI, will sit down with Mirella for a conversation on "Exploring Planning in Models and Life" -
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough.
This Fireside Chat features Mike Lewis, Research Scientist at Meta AI. Ahmet Üstün, Research Scientist at Cohere For AI, will sit down with Mike for a conversation on "Exploring the State of Foundation Models" -
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough.
This Fireside Chat features Jacob Andreas, Associate Professor at MIT. Marzieh Fadaee, Research Scientist at Cohere For AI, will sit down with Jacob for a conversation on "A Journey to Learn from Language." -
This Fireside Chat features Orhan Firat, Senior Staff Research Scientist @ Google DeepMind. Ahmet Üstün, Research Scientist at Cohere For AI, will sit down with Orhan for a conversation on "Embarking on Research Adventures: Gaining Insights and Journeying."
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough.
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/CohereForAI
Catch us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/ -
This Fireside Chat features Minjoon Seo, Assistant Professor at KAIST & Chief Scientist of Twelve Labs. Minjoon is joined by with Beyza Ermis, Research Scientist at Cohere For AI for a discussion on "Ever-evolving Language Models."
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavour, and this discussion series provides insights from beginning to breakthrough.
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/CohereForAI
Catch us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/ -
Alexander (Sasha) Rush, Associate Professor at Cornell University and Researcher at Hugging Face joined Cohere's João Araújo for this episode of Cohere For AI Fireside Chats. Listen in as Sasha talks about embracing, rather than resisting, the difficulty of learning complex topics, and the unique experience of pursuing a PhD.
Learn more about Sasha Rush's research here: https://rush-nlp.com/
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/forai_ml
Catch us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/ -
Colin Raffel (UNC Chapel Hill, Hugging Face) joins Ellie Evans (Cohere) for a fireside chat about his path to ML research. From DIY electronic kits and guitar pedals to academia, hear all about Colin Raffel's research journey and his reflections on the role of a professor.
Get to know Colin at https://colinraffel.com/
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/forai_ml
Catch us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/
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Rosanne Liu is the Co-founder and Executive Director of ML Collective, a non-profit organization providing research training for all, through open collaboration and accessible mentorship; and she is concurrently doing science at Google Brain. Before that she was one of the 15 founding members (and the only woman) of Uber AI Labs. She has published research at NeurIPS, ICLR, ICML, Science and other top venues, and her work has been covered by WIRED, MIT Tech Review, and Fortune. She obtained her PhD in Computer Science at Northwestern University; while at school she used neural networks to help discover novel materials, and to optimize fuel efficiency in hybrid vehicles. She builds and supports communities for underrepresented and unprivileged researchers, organizes symposiums, workshops, and a weekly reading group “Deep Learning: Classics and Trends” since 2018. She serves as the Diversity, Equity & Inclusion chair of ICLR 2022 and 2023. She is currently thinking deeply about how to democratize AI research even further, and improve the diversity and fairness of the field, while working on multiple fronts of machine learning research including understanding training dynamics, rethinking model capacity and scaling. Through all these efforts she wants to make neural networks a better place—both to understand the science better, and to make it a more fulfilling field to work in.
Follow Rosanne on Twitter at https://twitter.com/savvyRL
This event was hosted by C4AI community organizers Jen Iofinova and Jonas Kgomo.Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/forai_ml
Make sure you follow us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/ -
Join Andrey Cheptsov, Shreya Shankar, and Charles Frye with Cohere's João Araújo for this panel discussion on the challenges and opportunities surrounding Machine Learning operations. This panel discussion was recorded on Oct 3, 2022.
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/forai_ml
Make sure you follow us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/ -
What do flight simulators, jazz, and AI have in common? They're all part of Pablo Samuel Castro's research journey! For our second Fireside Chat, Pablo joins Cohere For AI's Sara Hooker for a wide-ranging conversation about his research path.
Cohere For AI is a non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research.
Cohere For AI Fireside Chats bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavor, and this discussion series provides insights from beginning to breakthrough.
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/forai_ml
Make sure you follow us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/ - Montre plus
