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Channel : #ml-industry (Link)
ML Industry Team
ML Industry Team
ML Industry bridges the gap in Frontier ML Research between the industry and academia!
We aim to empower career-switchers, early-career researchers, and academics with a robust foundation for success in industrial ML research. ML Industry is a comprehensive program of talks, workshops, and interactive panels featuring leading researchers and engineers. We plan to cover the breadth of skills, thought processes, and career philosophies essential for translating cutting-edge research into impactful products.
Guest Speaker Events
Guest Speaker Events
Book Reading Sessions
Book Reading Sessions
Currently reading: Machine Learning System Design Interview by Alex Xu and Ali Aminian
Join us on #ml-industry to participate in the sessions!
Monthly Paper Reading Sessions
Monthly Paper Reading Sessions
ML Industry - Paper Reading Session #1 - 2026/01/28 08:22 PST - RecordingJoin us on #ml-industry to participate in the sessions!
Paper Reading Sesson #1 - Jan 2026 - Papers discussed:
Urban Socio-Semantic Segmentation with Vision-Language Reasoning – Advanced scene understanding via VLMs.
Controlled Self-Evolution for Algorithmic Code Optimization (Midea/QuantaAlpha) – LLMs evolving code for efficiency.
Alterbute: Editing Intrinsic Attributes of Objects in Images (Google) – Diffusion-based intrinsic edits (color/texture/shape) preserving identity.
Action100M: A Large-scale Video Action Dataset (Meta Research) – Massive video benchmark for action AI.
Inference-time Physics Alignment of Video Generative Models with Latent World Models (AI at Meta) – Making video gens physically realistic.
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models (Deepseek)– Efficient LLM sparsity innovations.
Leads
Leads
Arya Suneesh
Arya Suneesh
@persempreoro
Arya is an NLP Engineer with a focus on AI research and quantum computing. She has majorly worked on conversational AI models and multilingual AI applications. As a DAAD-WISE Scholar, she conducted research on speech recognition models at UdK Berlin/ECDF. Arya is passionate about the intersection of classical and quantum machine learning and is always excited to discuss emerging AI technologies and potential collaborations in quantum computing applications.
Prahitha Movva
Prahitha Movva
@beth03
Prahitha is an MS CS graduate from UMass Amherst interested in AI/ML research, especially in applications that make a tangible social impact (eg: education and healthcare). She worked on applied ML projects with organizations like Spotify, UNICEF, and Save the Children and is always happy to chat about research questions and potential collaborations that sit at the intersection of real-world utility and ethics.
Events Calendar
Events Calendar
Please note: Events can take 24-48 hours to appear on your calendar.
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