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19,219 stories from 3243 sources · 931 in the last 24 hours · refreshed hourly. Every story links to the original publisher.
Today's AI news from trusted publishers and official AI lab blogs, refreshed about every 30 minutes.
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- Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live iOS AppsApple Machine Learning Research · toolsWhile frontier vision-language models demonstrate strong capabilities in user interface (UI) navigation, their high inference costs prohibit everyday use. Conversely, smaller models trained via supervised fine-tuning (SFT) or offline reinforcement learning often memorize static t
- GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction PriorApple Machine Learning Research · generalWe present GHARP (Real-time Gaussian Head Animation from Large-scale Reconstruction Prior), a method that animates 3D human heads in real time from a few input images of a subject and a driving expression signal. We decouple the problem into an identity stage that builds a repres
- Local and Distributed Large LLM Inference with MLX and RDMA on Mac StudioApple Machine Learning Research · general[object Object]
- Selection-Based Structured Reasoning: Toward Efficient Multimodal Search AgentsApple Machine Learning Research · modelsMultimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action generation while incurring substantial inference cost. To address this challenge, we
- Plan or Retrieve First? A Scale Study of Tool Discovery ArchitecturesApple Machine Learning Research · researchTool-augmented LLM agents discover relevant APIs from large registries before planning execution, yet finite context windows prohibit injecting all tool definitions into a single prompt. The dominant approach, which we term Retrieve-then-Plan (RtP), embeds the user query and retr
- The Design Space of Tri-Modal Masked Diffusion ModelsApple Machine Learning Research · modelsDiscrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation. Diverging from previous approaches, we introduce the first tri-modal Masked Diffusion Model
- Code-Switching Detection via Language-Selective Dimensions in Speech Foundation ModelsApple Machine Learning Research · generalCode-switching (CS), the alternation between languages within an utterance, is common in multilingual speech but underrepresented in pretraining corpora. Increasing CS coverage requires finding relevant utterances in large speech collections so that they can be included in traini
- Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained SettingsApple Machine Learning Research · modelsFor most languages of the world, language model pre-training operates in a data-constrained regime where models must repeat their training data many times, degrading generalization. Two remedies exist: aggressive hyperparameter tuning such as high weight decay, and mixing in data
- Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both ChallengedApple Machine Learning Research · generalLarge Language Models (LLMs) are considered to be a more efficient and cost-effective alternative to human judgment for Machine Translation (MT) evaluation. With MT evaluation spanning a large number of language pairs, domains and levels of annotation granularity, LLMs must be th
- Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon DevicesApple Machine Learning Research · hardwareThe increasing demand for GPU-accelerated machine learning inference has exposed limitations in centralized GPU infrastructures, including high cost, limited elasticity, and long wait times under resource constraints. At the same time, modern Apple Silicon–based macOS devices are
- Self-Compacting Language Model AgentsApple Machine Learning Research · modelsLong agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaffolds mitigate it with fixed-interval compaction triggered at a token threshold. Such triggers pay n
- Normalizing Trajectory ModelsApple Machine Learning Research · generalDiffusion-based models decompose sampling into many small Gaussian denoising steps, an assumption that breaks down when generation is compressed to a few coarse transitions. Existing few-step methods address this through distillation, consistency training, or adversarial objectiv
- RISED: Rubrics for Agentic Multi-Environment Selection and Self-DistillationApple Machine Learning Research · toolsTraining a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents. Existing curriculum and data-selection strategies often allocate training at the environment level or prioritize local reward-based sign
- Negotiating Ontological Boundaries in User-Authored Personal Sensing SystemsApple Machine Learning Research · generalDesigned artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures is giving people power over how systems are designed and built. Despite decades of scholarship around systems that enable such aut
- Language Discrimination Improves Linguistic Learning in Multilingual Speech ModelsApple Machine Learning Research · modelsMultilingual self-supervised speech models can benefit from sharing information across languages, but under a matched total pretraining data budget they still fall short of monolingual models. We show that strengthening the model’s ability to discriminate languages during pretrai
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