DeadlineJun 24, 2026
Announcing the 2024 Apple Scholars in AIML
An announcement page listing the 2024 recipients of the Apple Scholars in AIML PhD fellowship, including information on how the program is currently restricted to invited institutions.
Apple PhD Fellowship in AI/ML
Key details
Structured from AwardPing source-page snapshots and official links.
- Deadline
- Not listed yet
- Award amount
- funding (amount unspecified)
- Academic level
- Graduate
- Citizenship
- Not listed yet
- Eligibility
- PhD students in computer science and engineering; Currently open to invited institutions only; PhD students; Nominated by their universities; Graduate and postgraduate level students
- Application materials
- Not listed yet
Official source pages
These are the pages AwardPing checks for this award.
DeadlineJun 24, 2026
Announcing the 2025 Apple Scholars in AIML
Official announcement of the 2025 Apple Scholars in AIML PhD fellowship recipients, including program details and contact information for invited institutions.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A listing of academic conferences, workshops, and research events sponsored or attended by Apple's Machine Learning research team.
DeadlineJun 24, 2026
Announcing the 2022 Apple Scholars in AIML
An announcement page listing the 2022 recipients of the Apple Scholars in AIML PhD fellowship, including details on the program's benefits and how to inquire about participation.
DeadlineJun 24, 2026
Announcing the 2023 Apple Scholars in AIML
An announcement page listing the 2023 recipients of the Apple Scholars in AIML PhD fellowship, including details on the program's benefits and application process for invited institutions.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A listing of events, conferences, and workshops where Apple presents research in machine learning, including Human-Computer Interaction.
DeadlineJun 24, 2026
International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026
An overview of Apple's participation, research presentations, and sponsorship at the ICASSP 2026 conference.
DeadlineJun 24, 2026
Apple Workshop on Human-Centered Machine Learning 2024
A summary of the 2024 Apple Workshop on Human-Centered Machine Learning, featuring research highlights, talk recordings, and discussions on AI accessibility, foundation models, and responsible AI.
DeadlineJun 24, 2026
Apple Workshop on Reasoning and Planning 2025
A recap page for the Apple Workshop on Reasoning and Planning 2025, featuring recordings of selected talks and a list of research publications discussed during the event.
DeadlineJun 24, 2026
Apple at Empirical Methods in Natural Language Processing (EMNLP) 2025
Overview of Apple's participation, research presentations, and event schedule at the EMNLP 2025 conference in Suzhou, China.
DeadlineJun 24, 2026
Apple Machine Learning Research - Events
A list of events, workshops, and conferences sponsored or hosted by Apple Machine Learning Research, filtered by research areas including Accessibility.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A listing of academic conferences, workshops, and research events sponsored or attended by Apple in the fields of machine learning, speech, and natural language processing.
DeadlineJun 24, 2026
Apple Workshop on Privacy-Preserving Machine Learning 2025
A recap page for the Apple Workshop on Privacy-Preserving Machine Learning 2025, featuring recordings of selected talks and a list of published research presented at the event.
DeadlineJun 24, 2026
Apple at NeurIPS 2025
Overview of Apple's participation, research presentations, workshops, and booth schedule at the 2025 Neural Information Processing Systems (NeurIPS) conference.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A list of academic conferences and events sponsored or attended by Apple's Machine Learning research team, focusing on computer vision and other AI research areas.
DeadlineJun 24, 2026
International Conference on Computer Vision (ICCV) 2025 - Apple Machine Learning Research
An overview of Apple's participation, research presentations, and event schedule at the 2025 International Conference on Computer Vision (ICCV) in Honolulu.
DeadlineJun 24, 2026
Apple Workshop on Privacy-Preserving Machine Learning & AI 2026
A recap page for the 2026 Apple workshop featuring research presentations, publications, and discussions on privacy-preserving ML and AI techniques.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A listing of events, workshops, and conferences related to Apple's machine learning research, including privacy-preserving AI and computer vision.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A listing of events, workshops, and conferences related to Apple's machine learning research, including topics like fairness, privacy, and human-centered AI.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A listing of academic conferences, workshops, and research events sponsored or attended by Apple's Machine Learning research team.
DeadlineJun 24, 2026
Apple at ACM CHI 2026 Conference
Overview of Apple's participation, research presentations, and booth demonstrations at the 2026 ACM CHI Conference on Human Factors in Computing Systems.
DeadlineJun 24, 2026
Apple at ICLR 2026
Overview of Apple's research participation, conference schedule, and technical demonstrations at the International Conference on Learning Representations (ICLR) 2026.
DeadlineJun 24, 2026
Apple Machine Learning Research Events
A listing of academic conferences and workshops where Apple Machine Learning researchers are presenting work or sponsoring events.
DeadlineJun 24, 2026
Apple Workshop on Natural Language and Interactive Systems 2025
A recap of the Apple-hosted two-day workshop featuring research talks and publications on NLP, LLMs, and interactive systems.
HomepageJun 24, 2026
Announcing the 2026 Apple Scholars in AIML
An announcement page listing the 2026 recipients of the Apple Scholars in AIML PhD fellowship program, which provides funding, mentorship, and internship opportunities to PhD students.
PDF guideJun 24, 2026
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs (Research Paper)
A technical research paper detailing the POST (Privacy Of Soft-prompt Transfer) framework, which enables private tuning of soft prompts on smaller models for transfer to larger LLMs.
PDF guideJun 24, 2026
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
A research paper presented at NeurIPS 2024 detailing the NEMO method for identifying and deactivating specific neurons in diffusion models that cause the memorization of training data.
PDF guideJun 24, 2026
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
A research paper detailing new methods (PromptDPSGD and PromptPATE) for protecting data privacy in Large Language Model (LLM) prompting through differential privacy.
PDF guideJun 24, 2026
Captured by Captions: On Memorization and its Mitigation in CLIP Models
A research paper published at ICLR 2025 investigating memorization mechanisms in CLIP models and proposing mitigation strategies.
PDF guideJun 24, 2026
Memorization in Self-Supervised Learning Improves Downstream Generalization
A research paper published at ICLR 2024 investigating how self-supervised learning (SSL) encoders memorize training data and how this memorization contributes to downstream generalization performance.
PDF guideJun 24, 2026
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
A research paper analyzing the privacy, performance, and cost-efficiency of adapting open versus closed Large Language Models (LLMs) for private data tasks.
PDF guideJun 24, 2026
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents
A research paper detailing the Grammar-Preserving Text Saliency Modulation (GP-TSM) method, which uses recursive sentence compression to improve document skimming and reading efficiency.
PDF guideJun 24, 2026
Adaptable Logical Control for Large Language Models (Ctrl-G)
A research paper introducing Ctrl-G, a neuro-symbolic framework that uses Hidden Markov Models (HMMs) to guide Large Language Models (LLMs) in satisfying complex logical constraints during text generation.
PDF guideJun 24, 2026
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models
A research paper detailing VLM-Predictive Control (VLM-PC), a system that leverages vision-language models to enable autonomous, adaptive behavior selection for legged robots in complex environments.
Recent changes
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