Meta tags:
description= Apple machine learning teams are engaged in state of the art research in machine learning and artificial intelligence. Learn about the latest advancements.;
Headings (most frequently used words):
machine, learning, learningresearch, at, apple, research, highlights, recent, publications, events, discover, opportunities, in, depyf, open, the, opaque, box, of, pytorch, compiler, for, researchers, bed, llm, intelligent, information, gathering, with, llms, and, bayesian, experimental, design,
Text of the page (most frequently used words):
#research (20), learning (13), the (13), 2026 (11), apple (11), and (11), conference (10), machine (9), all (7), iclr (7), read (6), april (6), overview (5), more (5), which (5), area (5), publications (5), with (4), new (4), view (4), events (4), human (4), highlights (4), from (3), are (3), proud (3), again (3), computer (3), interaction (3), chi (3), international (3), representations (3), for (3), this (3), rnns (3), scale (3), work (2), presenting (2), annual (2), takes (2), place (2), person (2), sponsor (2), brings (2), together (2), scientific (2), industrial (2), communities (2), focused (2), below (2), participation (2), acm (2), computing (2), rio (2), janeiro (2), brazil (2), explore (2), paper (2), authors (2), published (2), year (2), methods (2), algorithms (2), open (2), researchers (2), important (2), efficient (2), training (2), large (2), menu (2), copyright, rights, reserved, inc, legal, terms, use, privacy, policy, our, breaks, ground, every, day, discover, opportunities, barcelona, spain, association, machinery, factors, systems, deep, general, deepro, choudhury, sinead, williamson, adam, goliński, ning, miao, freddie, bickford, smith, michael, kirchhof, yizhe, zhang, tom, rainforth, 2025, bed, llm, intelligent, information, gathering, llms, bayesian, experimental, design, kaichao, you, runsheng, bai, meng, cao, jianmin, wang, ion, stoica, mingsheng, long, journal, jmlr, tools, platforms, frameworks, depyf, opaque, box, pytorch, compiler, recent, advancing, fundamental, much, shared, through, engagement, conferences, order, accelerate, progress, field, support, broader, community, week, will, held, participate, event, fourteenth, recurrent, neural, networks, naturally, suited, inference, requiring, far, less, memory, compute, than, attention, based, architectures, but, sequential, nature, their, computation, has, historically, made, impractical, billions, parameters, advancement, makes, rnn, dramatically, enabling, first, time, widening, set, pararnn, nonlinear, trainable, parallel, close,
Text of the page (random words):
overview apple machine learning research machine learning research open menu close menu overview research highlights publications events work with us machine learning research at apple research highlights view all highlights pararnn large scale nonlinear rnns trainable in parallel april 23 2026 recurrent neural networks rnns are naturally suited to efficient inference requiring far less memory and compute than attention based architectures but the sequential nature of their computation has historically made it impractical to scale up rnns to billions of parameters a new advancement from apple researchers makes rnn training dramatically more efficient enabling large scale training for the first time and widening the set of read more apple machine learning research at iclr 2026 april 22 2026 conference iclr apple is advancing ai and ml with fundamental research much of which is shared through publications and engagement at conferences in order to accelerate progress in this important field and support the broader community this week the fourteenth international conference on learning representations iclr will be held in rio de janeiro brazil and apple is proud to again participate in this important event for the research read more view all highlights recent publications explore all publications depyf open the opaque box of pytorch compiler for machine learning researchers research area methods and algorithms research area tools platforms frameworks conference journal of machine learning research jmlr published year 2026 authors kaichao you runsheng bai meng cao jianmin wang ion stoica mingsheng long read paper bed llm intelligent information gathering with llms and bayesian experimental design research area methods and algorithms conference iclr published year 2025 authors deepro choudhury sinead williamson adam goliński ning miao freddie bickford smith michael kirchhof yizhe zhang tom rainforth read paper explore all publications events view all events international conference on learning representations iclr 2026 april 17 2026 research area general apple is presenting new research at the annual international conference on learning representations iclr which takes place in person in rio de janeiro brazil from april 23 to 27 we are proud to again sponsor the conference which brings together the scientific and industrial research communities focused on deep learning below is an overview of apple s participation at iclr 2026 read more acm human computer interaction conference chi 2026 april 10 2026 research area human computer interaction apple is presenting new research at the annual acm association of computing machinery chi conference on human factors in computing systems which takes place in person in barcelona spain from april 13 to 17 we are proud to again sponsor the conference which brings together the scientific and industrial research communities focused on human computer interaction below is an overview of apple s participation at chi 2026 read more view all events discover opportunities in machine learning our research in machine learning breaks new ground every day work with us machine learning research overview privacy policy terms of use legal copyright 2026 apple inc all rights reserved
|