{"id":9301,"date":"2025-12-01T17:48:56","date_gmt":"2025-12-01T17:48:56","guid":{"rendered":"https:\/\/techtrendfeed.com\/?p=9301"},"modified":"2025-12-01T17:48:56","modified_gmt":"2025-12-01T17:48:56","slug":"neural-data-processing-programs-neurips-2025","status":"publish","type":"post","link":"https:\/\/techtrendfeed.com\/?p=9301","title":{"rendered":"Neural Data Processing Programs (NeurIPS) 2025"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>Apple is presenting new analysis on the annual convention on <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/neurips.cc\/Conferences\/2025\" target=\"_blank\" aria-label=\"Neural Information Processing Systems (NeurIPS) - Opens in a new window\" class=\"icon icon-after icon-external\" rel=\"noopener nofollow\">Neural Data Processing Programs (NeurIPS)<\/a>, which takes place in-person in each Mexico Metropolis, Mexico, from November 30 \u2013 December 5, and San Diego, California, from December 2 \u2013 7. We&#8217;re proud to once more sponsor the multi-track interdisciplinary convention, which brings collectively the scientific and industrial analysis communities surrounding Machine Studying. Under is an summary of Apple\u2019s participation at NeurIPS 2025.<\/p>\n<p><strong>Bounce to a bit:<\/strong><\/p>\n<p>Cease by the Apple sales space #1103 within the San Diego Conference Middle throughout exhibition hours. All instances listed in PST (San Diego local-time):<\/p>\n<ul>\n<li>Tuesday, December 2, 12:00 PM &#8211; 8:00 PM<\/li>\n<li>Wednesday, December 3, 9:00 AM &#8211; 5:00 PM<\/li>\n<li>Thursday, December 4, 9:00 AM &#8211; 5:00 PM<\/li>\n<li>Friday, December 5, 9:00 AM &#8211; 12:00 PM<\/li>\n<\/ul>\n<div class=\"callout\">\n<h2>Schedule<\/h2>\n<h3>Sunday, November 30<\/h3>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP (NEURIPS CDMX &#8211; MEXICO CITY)<\/strong><\/span><\/li>\n<li><em>The place Did the Reasoning Go Fallacious? A Bench-Mark of Puzzle-Based mostly Visible Duties With CoT Error Detection<\/em><\/li>\n<li>11:00 AM &#8211; 6:00 PM, NeurIPS 2025 Workshop on Socially Accountable and Reliable Basis Fashions, Don Alberto 1<\/li>\n<li>Yusu Qian, Cheng Wan (Cornell College), Chao Jia, Yinfei Yang, Qingyu Zhao  (Cornell College), Zhe Gan<\/li>\n<\/ul>\n<h3>Tuesday, December 2<\/h3>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>AFFINITY WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/sites.google.com\/wimlworkshop.org\/wimlworkshopneurips2025\/home\" target=\"_blank\" aria-label=\"Women in Machine Learning (WiML) - Opens in new window\" class=\"icon icon-after icon-external\" rel=\"noopener noreferrer\">Ladies in Machine Studying (WiML)<\/a><\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, Higher Degree Ballroom 20CD<\/li>\n<li>Samy Bengio, Laurent Dinh, Richa Dixit, Maartje ter Hoeve, Tatiana Likhomanenko, and Shruti Palaskar will symbolize Apple on the WiML mentor roundtable session (10:45 AM &#8211; 12:15 PM), throughout the workshop.<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>AFFINITY WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.latinxinai.org\/neurips-2025?srsltid=AfmBOorbrKt29rmaOiuyl4-htpR7K5qK48-cz3pIZwFEr49n8zdE-8aC\" target=\"_blank\" aria-label=\"LatinX in AI (LXAI) - Opens in new window\" class=\"icon icon-after icon-external\" rel=\"noopener noreferrer\">LatinX in AI (LXAI)<\/a><\/em><\/li>\n<li>9:00 AM &#8211; 5:00 PM, Higher Degree Room 33ABC<\/li>\n<li>Lucas Monteiro Paes and Carlos Pareja will symbolize Apple on the LXAI Mentoring Hour (1:45 PM &#8211; 2:45 PM) throughout the workshop.<\/li>\n<\/ul>\n<h3>Wednesday, December 3<\/h3>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/illusion-of-thinking\" class=\"more\">The Phantasm of Considering: Understanding the Strengths and Limitations of Reasoning Fashions through the Lens of Downside Complexity<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #1914, Poster Session 1, Exhibit Corridor C,D,E<\/li>\n<li>Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh Vahid, Samy Bengio, Max Horton, Mehrdad Farajtabar<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/unigen-enhanced-training\" class=\"more\">UniGen: Enhanced Coaching &amp; Take a look at-Time Methods for Unified Multimodal Understanding and Technology<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #4900, Poster Session 1, Exhibit Corridor C,D,E<\/li>\n<li>Rui Tian, Mingfei Gao, Mingze Xu, Jimmy Hu, Jiasen Lu, Zuxuan Wu (Fudan College), Yinfei Yang, Afshin Dehghan<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/follow-the-energy\" class=\"more\">Observe the Power, Discover the Path: Riemannian Metrics from Power-Based mostly Fashions<\/a><\/em><\/li>\n<li>4:30 PM &#8211; 7:30 PM, #2506, Poster Session 2, Exhibit Corridor C,D,E<\/li>\n<li>Louis B\u00e9thune, David Vigouroux (IRT Saint-Exupery), Yilun Du (Harvard College), Rufin VanRullen (CNRS), Thomas Serre (Brown College),  Victor Boutin (CNRS)<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em>Fashions That Show Their Personal Correctness<\/em><\/li>\n<li>4:30 PM &#8211; 7:30 PM, #1304, Poster Session 2, Exhibit Corridor C,D,E<\/li>\n<li>Noga Amit (UC Berkeley), Shafi Goldwasser (UC Berkeley), Orr Paradise (UC Berkeley), Man Rothblum<\/li>\n<\/ul>\n<h3>Thursday, December 4<\/h3>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>AFFINITY WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.queerinai.com\/neurips-2025\" target=\"_blank\" aria-label=\"Queer in AI - Opens in new window\" class=\"icon icon-after icon-external\" rel=\"noopener noreferrer\">Queer in AI<\/a><\/em><\/li>\n<li>9:00 AM &#8211; 5:00 PM, Higher Degree Room 32AB<\/li>\n<li>Lauren Araujo and Kevin Miao will symbolize Apple  on the Sponsor Meet &amp; Greet Session (1:30 PM &#8211; 2:00 PM) throughout the workshop.<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/fed-learning-diff-privacy\" class=\"more\">Enabling Differentially Personal Federated Studying for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #114, Poster Session 3, Exhibit Corridor C,D,E<\/li>\n<li>Martin Pelikan, Shams Azam, Vitaly Feldman, Jan \u201cHonza\u201d Silovsky, Kunal Talwar, Christopher G. Brinton (Purdue College), Tatiana Likhomanenko<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/flexible-language-modeling\" class=\"more\">Versatile Language Modeling in Steady House with Transformer-based Autoregressive Flows<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #5306, Poster Session 3, Exhibit Corridor C,D,E<\/li>\n<li>Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Josh Susskind, Navdeep Jaitly, Miguel Angel Bautista, Huangjie Zheng, Tianrong Chen<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>SPOTLIGHT POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/starflow\" class=\"more\">STARFlow: Scaling Latent Normalizing Flows for Excessive-resolution Picture Synthesis<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #5318, Poster Session 3, Exhibit Corridor C,D,E<\/li>\n<li>Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Angel Bautista, Josh Susskind, Shuangfei Zhai<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/optimal-data-mixtures\" class=\"more\">Scaling Legal guidelines for Optimum Information Mixtures<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #3414, Poster Session 3, Exhibit Corridor C,D,E<\/li>\n<li>Mustafa Shukor, Louis B\u00e9thune, Dan Busbridge, David Grangier, Enrico Fini, Alaaeldin Mohamed Elnouby Ali, Pierre Ablin<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/tada\" class=\"more\">TADA: Improved Diffusion Sampling with Coaching-free Augmented Dynamics<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #3302, Poster Session 3, Exhibit Corridor C,D,E<\/li>\n<li>Tianrong Chen, Huangjie Zheng, Jiatao Gu, David Berthelot, Josh Susskind, Shuangfei Zhai<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>SPOTLIGHT POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/checklists-are-better\" class=\"more\">Checklists Are Higher Than Reward Fashions For Aligning Language Fashions<\/a><\/em><\/li>\n<li>4:30 PM &#8211; 7:30 PM, #103, Poster Session 4, Exhibit Corridor C,D,E<\/li>\n<li>Vijay Viswanathan (Carnegie Mellon College), Yanchao Solar, Shuang Ma (Meta), Xiang Kong, Meng Cao, Graham Neubig (Carnegie Mellon College), Tongshuang Wu (Carnegie Mellon College)<\/li>\n<\/ul>\n<h3>Friday, December 5<\/h3>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>SPOTLIGHT POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/car-flow\" class=\"more\">CAR-Move: Situation-Conscious Reparameterization Aligns Supply and Goal for Higher Move Matching<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #4200, Poster Session 5, Exhibit Corridor C,D,E<\/li>\n<li>Chen Chen, Pengsheng Guo, Liangchen Music, Jiasen Lu, Rui Qian, Tsu-Jui Fu (Meta), Wei Liu, Yinfei Yang, Alex Schwing<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/proactive-streaming-assistant\" class=\"more\">StreamBridge: Turning Your Offline Video Giant Language Mannequin right into a Proactive Streaming Assistant<\/a><\/em><\/li>\n<li>11:00 AM &#8211; 2:00 PM, #4617, Poster Session 5, Exhibit Corridor C,D,E<\/li>\n<li>Haibo Wang (Fudan College), Brian Feng, Jeff Lai, Mingze Xu, Shiyu Li, Weifeng Ge (Fudan College), Afshin Dehghan, Meng Cao, Ping Huang<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/datasets-documents-repetitions\" class=\"more\">Datasets, Paperwork, and Repetitions: The Practicalities of Unequal Information High quality<\/a><\/em><\/li>\n<li>4:30 PM &#8211; 7:30 PM, #101, Poster Session 6, Exhibit Corridor C,D,E<\/li>\n<li>Alex Fang (Stanford College), Hadi Pour Ansari, Matt Jordan (Ai2), Alexander Toshev, Vaishaal Shankar (Anthropic (work carried out when at Apple)), Ludwig Schmidt (Stanford College), Tom Gunter (Meta)<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>POSTER<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/end-to-end-learning\" class=\"more\">LinEAS: Finish-to-end Studying of Activation Steering with a Distributional Loss<\/a><\/em><\/li>\n<li>4:30 PM &#8211; 7:30 PM, #3604, Poster Session 6, Exhibit Corridor C,D,E<\/li>\n<li>Pau Rodriguez Lopez, Michal Klein, Eleonora Gualdoni, Valentino Maiorca (Sapienza Universit\u00e0 di Roma), Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau Cuadros<\/li>\n<\/ul>\n<h3>Saturday, December 6<\/h3>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em>Constructing the Cognitive Community: Pillars of AI-Native Wi-fi ecosystem<\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, AI and ML for Subsequent-Technology Wi-fi Communications and Networking (AI4NextG @ NeurIPS\u201925), Higher Degree Room 10<\/li>\n<li>Supratik Bhattacharjee, Sharad Sambhwani<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em>CHAST: Consideration Aided SISO OFDM Channel Estimation<\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, AI and ML for Subsequent-Technology Wi-fi Communications and Networking (AI4NextG @ NeurIPS\u201925), Higher Degree Room 10<\/li>\n<li>Mehmetcan Gok, John Zhou, Supratik Bhattacharjee, Huaning Niu, Sharad Sambhwani<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/cpep-contrastive\" class=\"more\">CPEP: Contrastive Pose-EMG Pre-training Enhances Gesture Generalization on EMG alerts<\/a><\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, Basis Fashions for the Mind and Physique Workshop, Higher Degree Room 11AB<\/li>\n<li>Behrooz Mahasseni, Wenhui Cui (College of Southern California), Chris Sandino, Juri Minxha, Ellen Zippi, Ran Liu, Hadi Pour Ansari, Erdrin Azemi, Aman Verma, Anna Sedlackova<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/relative-composition-eeg\" class=\"more\">Studying the relative composition of EEG alerts utilizing pairwise relative shift pretraining<\/a><\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, Basis Fashions for the Mind and Physique Workshop, Higher Degree Room 24ABC<\/li>\n<li>Chris Sandino, Sayeri Lala (Stanford College), Geeling Chau (California Institute of Expertise), Melika Ayoughi (College of Amsterdam), Behrooz Mahasseni, Ellen Zippi, Ali Moin, Erdrin Azemi, Hanlin Goh<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em>On Becoming Move Fashions with Giant Sinkhorn Couplings<\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, Structured Probabilistic Inference and Generative Modeling, Higher Degree Ballroom 20C<\/li>\n<li>Marco Cuturi Cameto, Michal Klein, Seyed Alireza Mousavi Hosseini<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em>Partial Parameter Updates for Environment friendly Distributed Coaching<\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, OPT 2025: Optimization for Machine Studying, Higher Degree Ballroom 20A<\/li>\n<li>Anastasiia Filippova, Angelos Katharopoulos, Ronan Collobert, David Grangier<\/li>\n<\/ul>\n<h3>Sunday, December 7<\/h3>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/breaking-down\" class=\"more\">Breaking Down Video LLM Benchmarks: Data, Spatial Notion, or True Temporal Understanding?<\/a><\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Skills, and Scaling, Higher Degree Room 2<\/li>\n<li>Brian Feng, Jeff Lai, Shiyu Li, Zizhen Wang, Simon Wang, Ping Huang, Meng Cao<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/ai-red-teaming\" class=\"more\">PersonaTeaming: Exploring How Introducing Persona Can Enhance Automated LLM Crimson-Teaming<\/a><\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Skills, and Scaling, Higher Degree Room 2<\/li>\n<li>Wesley Deng (Carnegie Mellon College, Sunnie S. Y. Kim, Akshita Jha, Ken Holstein (Carnegie Mellon College), Motahhare Eslami (Carnegie Mellon College), Lauren Wilcox, Leon Gatys<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/research\/vlsu-mapping\" class=\"more\">VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Security<\/a><\/em><\/li>\n<li>8:00 AM &#8211; 5:00 PM, Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Skills, and Scaling, Higher Degree Room 2<\/li>\n<li>Shruti Palaskar, Leon Gatys, Mona Abdelrahman, Mar Jacobo, Larry Lindsey, Gunnar Lund, Yang Xu, Navid Shiee, Jeffrey Bigham, Charlie Maalouf, Joseph Yitan Cheng<\/li>\n<\/ul>\n<ul class=\"links-stacked\">\n<li><span class=\"typography typography-caption\"><strong>WORKSHOP (CO-LOCATED AT NEURIPS SAN DIEGO)<\/strong><\/span><\/li>\n<li><em><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/machinelearning.apple.com\/updates\/SimpleFold: Folding Proteins is Simpler than You Think\" target=\"_blank\" aria-label=\"SimpleFold: Folding Proteins is Simpler than You Think - Opens in new window\" class=\"icon icon-after icon-external\" rel=\"noopener noreferrer\">SimpleFold: Folding Proteins is Easier than You Assume<\/a><\/em><\/li>\n<li>8:30 AM &#8211; 5:00 PM, Machine Studying in Structural Biology, UCSD Park &amp; Market, 1100 Market St. San Diego, CA 92101<\/li>\n<li>Yuyang Wang, Navdeep Jaitly, Josh Susskind, Miguel Angel Bautista<\/li>\n<\/ul>\n<\/div>\n<h2>Technical Demos<\/h2>\n<p><strong><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/ml-explore.github.io\/mlx\/build\/html\/index.html\" target=\"_blank\" aria-label=\"MLX - Opens in a new window\" class=\"icon icon-after icon-external\" rel=\"noopener nofollow\">MLX<\/a><\/strong><\/p>\n<p>We reveal giant mannequin inference and coaching on gadget utilizing MLX. MLX is a versatile array framework that&#8217;s optimized for Apple silicon and delivered to you by Apple machine studying analysis. It permits coaching and inference of arbitrarily complicated fashions on Apple silicon powered gadgets with nice brevity and adaptability.<br \/>\nWe are going to showcase picture technology utilizing a big difusion mannequin on an iPad Professional outfitted with an M5 chip, and spotlight disributed Compute with MLX and Apple Silicon. Guests can discover textual content and code technology leveraging a 1 trillion parameter mannequin operating in Xcode on a 4-Mac Studio M3 Extremely cluster, every outfitted with 512 GB of unified reminiscence.<\/p>\n<p><strong><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/github.com\/apple\/ml-fastvlm\/tree\/main\" target=\"_blank\" aria-label=\"FastVLM - Opens in a new window\" class=\"icon icon-after icon-external\" rel=\"noopener nofollow\">FastVLM<\/a><\/strong><\/p>\n<p>FastVLM is a household of mobile-friendly imaginative and prescient language fashions, constructed utilizing MLX. These fashions use a mixture of CNN and Transformer architectures for imaginative and prescient encoding designed particularly for processing high-resolution photographs. Collectively, they reveal a robust strategy that achieves an optimum steadiness between accuracy and pace.<br \/>\nGuests can have interaction with FastVLM through a real-time visible question-and-answer demo on an iPhone 17 Professional Max.<\/p>\n<p>Each MLX and FastVLM demos can be out there on the Apple Sales space throughout exhibition hours.<\/p>\n<h2>Major Venue-Accepted Papers<\/h2>\n<div class=\"callout space-y-1_5\">\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Chen Chen, Pengsheng Guo**, Liangchen Music, Jiasen Lu, Rui Qian, Xinze Wang, Tsu-Jui Fu**, Wei Liu**, Yinfei Yang, Alex Schwing<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Vijay Viswanathan\u2020, Yanchao Solar, Shuang Ma\u2021**, Xiang Kong, Meng Cao, Graham Neubig\u2020, Tongshuang Wu\u2020<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Alex Fang**\u2020, Hadi Pouransari, Matt Jordan\u2021, Alexander Toshev, Vaishaal Shankar\u00a7**, Ludwig Schmidt\u2020, Tom Gunter\u00b6**<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Zijing Ou\u2020, Ruixiang Zhang, Yingzhen Li\u2020<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Martin Pelikan*, Sheikh Shams Azam*, Vitaly Feldman, Jan \u201cHonza\u201d Silovsky, Kunal Talwar, Christopher G. Brinton\u2020, Tatiana Likhomanenko*<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Angel Bautista, Josh Susskind, Navdeep Jaitly<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Louis B\u00e9thune*, David Vigouroux\u2020, Yilun Du\u2021, Rufin VanRullen\u00a7, Thomas Serre\u00b6, Victor Boutin\u00a7*<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Pengfei Zhao, Rongbo Luan, Wei Zhang, Peng Wu, Sifeng He<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Ortal Senouf\u2020, Antoine Wehenkel, C\u00e9dric Vincent-Cuaz\u2020, Emmanuel Abb\u00e9, Pascal Frossard\u2020<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Jiayuan Ye\u2020**, Vitaly Feldman, Kunal Talwar<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Pau Rodr\u00edguez\u2021, Michal Klein, Eleonora Gualdoni, Valentino Maiorca\u2020**, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau\u2021<\/p>\n<\/div>\n<\/div>\n<div>\n<div>\n<h3 class=\"mt-0_5 typography-eyebrow-reduced\">Fashions That Show Their Personal Correctness<\/h3>\n<p class=\"muted mt-0_5\">Noga Amit (UC Berkeley), Shafi Goldwasser (UC Berkeley), Orr Paradise (UC Berkeley), Man Rothblum<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Jie An\u2020**, De Wang, Pengsheng Guo, Jiebo Luo\u2020, Alexander Schwing<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Hilal Asi, Vitaly Feldman, Hannah Keller\u2020**, Man N. Rothblum, Kunal Talwar<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Vitaly Feldman, Moshe Shenfeld\u2020<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Justin Lazarow, Kai Kang, Afshin Dehghan<\/p>\n<\/div>\n<\/div>\n<div>\n<div>\n<h3 class=\"mt-0_5 typography-eyebrow-reduced\">Pattern and Map from a Single Convex Potential utilizing Generative Second Measures<\/h3>\n<p class=\"muted mt-0_5\">Nina Vesseron (CREST-ENSAE), Louis B\u00e9thune, Marco Cuturi\n<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Mustafa Shukor\u2020, Louis Bethune, Dan Busbridge, David Grangier, Enrico Fini, Alaaeldin El-Nouby, Pierre Ablin<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Angel Bautista, Josh Susskind, Shuangfei Zhai<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Haibo Wang\u2021\u2021, Bo Feng, Zhengfeng Lai, Mingze Xu, Shiyu Li, Weifeng Ge\u2020, Afshin Dehghan, Meng Cao, Ping Huang<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Josh Susskind, Shuangfei Zhai<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Parshin Shojaee*\u2020, Iman Mirzadeh*, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar<\/p>\n<\/div>\n<\/div>\n<div>\n<div class=\"muted mt-0_5\">\n<p><span class=\"a11y\">Authors<\/span>Rui Tian, Mingfei Gao, Mingze Xu, Jiaming Hu, Jiasen Lu, Zuxuan Wu\u2020, Yinfei Yang, Afshin Dehghan<\/p>\n<\/div>\n<\/div>\n<\/div>\n<h2>Acknowledgements<\/h2>\n<p>Samy Bengio is a Board Member for NeurIPS.<\/p>\n<p>Pierre Ablin, Samy Bengio, Ronan Collobert, Marco Cuturi, Satyen Kale, Kunal Talwar, and Sinead Williamson are Senior Space Chairs.<\/p>\n<p>Skyler Seto has been acknowledged as a High Space Chair.<\/p>\n<p>Byeongjoo Ahn, Hilal Asi, Sheikh Shams Azam, Miguel \u00c1ngel Bautista, Meng Cao, Fartash Faghri, Mehrdad Farajtabar, Vitaly Feldman, Nick Foti, Zhe Gan, Jiatao Gu, Devon Hjelm, Chun-Liang Li, Tatiana Likhomanenko, Alex Papangelis, Stephan Richter, Pau Rodriguez, Natalie Schluter, Josh Susskind, Oncel Tuzel, Erik Wijmans, Yinfei Yang, Shuangfei Zhai, Yizhe Zhang, and Huangjie Zheng are Space Chairs.<\/p>\n<p>Noam Elata, Aryo Lotfi, Jiarui Lu, Michael Kirchhof, Parshin Shojaee, Andrew Szot, and Vimal Thilak have been acknowledged as High Reviewers.<\/p>\n<p>Yannick Assogba, Deepika Bablani, Vassilis Baltatzis, Sima Behpour, Louis B\u00e9thune, Arno Blaas, Jie Bu, Chacha Chen, Chen Chen, Tianrong Chen, Masha Fedzechkina Donaldson, Fahad Kamran, Parmeshwar Khurd, Han-Byul Kim, Sunnie S. Y. Kim, Colin Lea, Pingzhi Li, Xintong Li, Ran Liu, Stated Medjkouh, Lucas Monteiro Paes, Robin Schmidt, Amitis Shidani, Andrew Silva, Kaitao Music, Xinyu Tang, William Thong, Raviteja Vemulapalli, Yuyang Wang, Dehong Xu, Jiayuan Ye, and Xiyou Zhou are Reviewers.<\/p>\n<p>Fartash Faghri is a Workshop Co-Organizer; Samy Bengio, Mehrdad Farajtabar, Oncel Ouzel, and Hadi Pour Ansari serve on the Workshop Advisory Board; Mohammadreza Armandpour, Louis B\u00e9thune, Cheng-Yu Hsieh, Chen Huang, Cem Koc, Iman Mirzadeh and Raviteja Vemulapalli are Workshop Reviewers for <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/sites.google.com\/view\/ccfm-neurips2025\/home\" target=\"_blank\" aria-label=\"Workshop on Continual and Compatible Foundation Model Updates (CCFM) 2025 - Opens in a new window\" class=\"icon icon-after icon-external\" rel=\"noopener nofollow\"><em>Workshop on Continuous and Appropriate Basis Mannequin Updates (CCFM) 2025<\/em><\/a>.<\/p>\n<p>Antoine Wehenkel is a Workshop Co-Organizer for <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/ml4physicalsciences.github.io\/2025\/\" target=\"_blank\" aria-label=\"Machine Learning and the Physical Sciences Workshop 2025 - Opens in a new window\" class=\"icon icon-after icon-external\" rel=\"noopener nofollow\"><em>Machine Studying and the Bodily Sciences Workshop 2025<\/em><\/a>.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Apple is presenting new analysis on the annual convention on Neural Data Processing Programs (NeurIPS), which takes place in-person in each Mexico Metropolis, Mexico, from November 30 \u2013 December 5, and San Diego, California, from December 2 \u2013 7. We&#8217;re proud to once more sponsor the multi-track interdisciplinary convention, which brings collectively the scientific and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":9303,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[829,298,6699,2199,140],"class_list":["post-9301","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-information","tag-neural","tag-neurips","tag-processing","tag-systems"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/9301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9301"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/9301\/revisions"}],"predecessor-version":[{"id":9302,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/9301\/revisions\/9302"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/9303"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9301"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9301"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<!-- This website is optimized by Airlift. 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