The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Join Sandor Caetano, Head of Data Science at iFood, Dale Vaz, CTO at Swiggy, Nicolas Guenon from Delivery Hero, and Euro Beinat of Prosus as they dive into the transformative role of machine learning in food delivery. They discuss innovative logistics solutions, like real-time delivery management and personalized recommendations. The panel explores unique challenges in markets like Brazil and India, emphasizing the importance of tailored strategies. Insights on improving customer experiences and tackling fraud reveal how AI is reshaping the industry.

Jeff Gehlhaar, Vice President of Technology at Qualcomm, and Zahra Koochak, Staff Machine Learning Engineer, dive into the exciting world of mobile AI. They unveil advancements in the Snapdragon 865 chipset and discuss the AI Model Efficiency Toolkit designed for edge devices. The duo explores federated learning, enhancing privacy through on-device data processing. With insights into integrating tools like TensorFlow and the MLIR framework, they spotlight collaborations shaping the future of AI efficiency and open-source innovation at Qualcomm.

Sasha Luccioni, a Postdoctoral Researcher at the MILA Institute, delves into the intersection of machine learning and climate change. She discusses how Generative Adversarial Networks (GANs) are being utilized to visualize climate impacts, shedding light on the technical challenges involved. The conversation also touches on the environmental footprint of AI, emphasizing the need for sustainable practices and collaboration in the field. Sasha aims to encourage effective communication around climate issues, making complex data accessible for public understanding.

Burr Settles, Research Director at Duolingo, shares insights from his journey in language learning and machine learning. He discusses how Duolingo uses AI to replicate the benefits of one-on-one tutoring at scale. The conversation delves into the evolution of their business model, the challenges of expanding language courses, and the intricacies of developing AI-driven assessments. Additionally, Burr highlights the importance of engagement strategies and the role of community in enhancing user experiences on the platform.

In this engaging discussion, Artur Yakimovich, co-founder at Artificial Intelligence for Life Sciences and visiting scientist at University College London, dives into the fascinating intersection of AI and life sciences. He shares insights about the challenges in merging biology with computational tools, focusing on his innovative use of deep learning and capsule networks. Artur also highlights the importance of community in this interdisciplinary field, promoting collaboration to tackle complex biological problems, and sheds light on the exciting advancements in virus visualization and data analysis.

Kavita Bala, Dean of Computing and Information Science at Cornell University and research advisor at Facebook, dives into the fascinating world of computer vision and graphics. She discusses GrokStyle, a startup enhancing visual recognition for commerce on Facebook Marketplace. The conversation touches on how social media data is being leveraged to discover global style trends through projects like StreetStyle/GeoStyle. Kavita also highlights the importance of privacy-preserving techniques in technology, addressing cultural implications and innovations in the field.

Join PhD students Nikos Athanasiou and Muhammed Kocabas, alongside Michael Black, the director of the Max Planck Institute for Intelligent Systems, as they unveil their groundbreaking VIBE research. They discuss the innovative adversarial learning framework for human pose and shape estimation and the significance of the AMASS dataset. The trio also dives into advancements in transforming sparse motion capture data into detailed 3D models and leveraging models with self-attention for enhanced accuracy in human motion understanding. A must-listen for AI enthusiasts!

Georgia Gkioxari, a research scientist at Facebook AI Research, shares her insights on the groundbreaking open-source library PyTorch3D. She discusses her journey from traditional object recognition to deep learning innovations and the evolution of 3D understanding. Georgia highlights the user experience and modularity of PyTorch3D, revealing its role in enhancing machine learning capabilities. She also reflects on her responsibilities as co-chair for CVPR 2021 and the need for modernizing academic peer review processes to adapt to growing challenges in research.

In a fascinating discussion, Michael I. Jordan, a Distinguished Professor at UC Berkeley and a leader in AI and machine learning, shares insights from his diverse academic journey. He delves into how philosophy and cognitive sciences shaped his understanding of uncertainty in tech. The conversation touches on the valuation of data, empowering young artists through AI, and creating meaningful economic markets. Michael also emphasizes the need for equitable representation in AI development and the risks of unregulated algorithmic systems.

Sameer Singh, an assistant professor at UC Irvine, specializes in interpretable machine learning for NLP. He discusses the groundbreaking CheckList tool for robust behavioral testing of NLP models, stressing the importance of understanding model limitations beyond mere accuracy. Sameer reflects on the evolving landscape of AI, the relevance of his co-authored LIME paper in model explainability, and the potential of embodied AI in enhancing our understanding of complex machine learning systems. It's a thoughtful dive into the future of AI evaluation methods.