Apple

Research scientist working on large-scale deep learning for speech translation, spoken language understanding, question answering, healthcare, and multimodal models.

Research scientist at Apple focused on natural language processing and machine learning.

Yann LeCun is Chief AI Scientist at Meta, Silver Professor at New York University, and a pioneer of modern deep learning and computer vision.

Research scientist on Apple Foundation Models whose work focuses on machine learning systems, multimodal foundation models, and AI agents.

Max Schwarzer is a reinforcement learning researcher whose work focuses on scaling and sample-efficient RL. He completed a PhD at Mila, later interned in Apple's machine learning research group, and was an author on Apple's MM1 multimodal pre-training report.

Researcher and engineer working on machine learning, software, and hardware systems.

Sachin Kumar is a researcher at Apple and incoming assistant professor at UC San Diego. His work focuses on natural language processing, efficient and multilingual language models, and machine learning systems.

Jitendra Malik is a computer vision and machine learning researcher at UC Berkeley whose public homepage and Google Scholar profile highlight work on image understanding, robotics, and foundation models.

Machine learning researcher at Apple Machine Learning Research working at the intersection of optimization, privacy, and security.

Research scientist at Apple working on efficient and multilingual language modeling, speech and language systems, and large language models.

Senior research scientist at Apple working on large multimodal foundation models, with prior work on large language models at MosaicML.

Neil Houlsby works on adaptation of large language models, transfer learning, parameter-efficient fine-tuning, and inference efficiency.

Research scientist at Apple working at the intersection of natural language processing, machine learning, and AI, with a focus on building more intelligent, robust, and reliable systems.

Research scientist at Apple focused on state-of-the-art machine learning and computer vision methods.

Senior researcher at Apple working on large models, multimodal learning, and speech processing, according to his personal site.

Co-author of the OpenELM paper with author affiliation shown as Apple on the arXiv HTML version.

Ishan Misra is a Research Scientist at Apple whose work spans computer vision, multimodal learning, and large foundation models. He has contributed to Apple Intelligence foundation model research.

Research scientist at Apple specializing in multilingual and multimodal generative models.

Research scientist at Apple Foundation Models working on large language models and multimodal systems; previously a research scientist at Google and Meta.

Research scientist and engineer at Apple working on foundation models for speech and language, with interests in explainability and interpretability.

Zhengfeng Lai is an AI/ML engineer at Apple working on generative AI and multimodal learning. He is also a PhD student at Cornell University whose interests include multimodal learning, model reasoning, and interpretability, and he has previously interned at Apple, Google, and Meta.

Research scientist at Apple Intelligence working on computer vision, machine learning, and natural language processing.

Distinguished scientist at Apple working on large language models and multimodal foundation models; previously held research roles at ByteDance AI Lab and MBZUAI.

Chun-Liang Li is listed as a core author of the FastVLM paper, with Apple affiliation and an @apple.com contact address in the report HTML.

Ruoming Pang

Yinfei Yang

Yann LeCun

Haoxuan You

Max Schwarzer

Awni Hannun

Sachin Kumar

Jitendra Malik

Jonas Geiping

Floris Weers

Brandon McKinzie

Neil Houlsby

Angela Fan

Peter Grasch

Zirui Wang

Horton, Maxwell

Ishan Misra

Masoud Alizadeh

Nan Du

Paria Hafezi

Zhengfeng Lai

Tom Gunter

Xiang Kong

Li, Chun-Liang