2356 articles tagged with Multimodal
Vision-language-action (VLA) models transfer semantic knowledge acquired through vision-language pretraining to robot control, achieving strong performance across various benchmark...
Multimodal deep search is moving from short queries to long-horizon investigations that continually acquire evidence. However, training such agents remains constrained by limited c...
As Vision-Language Models (VLMs) advance, they are increasingly expected to perform spatiotemporal reasoning over motion, actions, and view changes beyond what the input images sho...
Retrieval is a fundamental task in multimodal systems: given an image or text query, the goal is to find the most relevant images or texts in a collection, often using a shared emb...
Unified multimodal models (UMMs) receive image-generation supervision that exposes them to visual information not fully documented in text. Can learning to generate images expand w...
Creative intent in video editing can be expressed through text instructions (e.g., "remove the people"), image references (e.g., subject appearance), video references (e.g., camera...
ActTune: Action-Aware Precision and GPU Operating-Point Adaptation for Energy-Efficient Vision-Language-Action Inference#LLM #Roboticshttps://hgpu.org/?p=31388
NEURA Robotics unveiled Neuron AI, a robot foundation model that processes touch, sound, and memory alongside vision. The model runs locally on five robot types. No benchmarks publ...
CEO Mark Lacerte Shares How the Wound Performance Platform Is Transforming Wound Care Through AI, Connected Clinical Workflows and Real-Time Analytics
MDN-VJEPA is a multimodal probabilistic JEPA that instantiates the latent predictor as a mixture density network representing future states with a Gaussian mixture. Controlled expe...
Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities...
Vision-language-action (VLA) models have rapidly advanced generalist robot manipulation by harnessing the semantic knowledge of pretrained vision-language backbones. However, their...
MLLM-based detectors formulate vision-language grounding as autoregressive coordinate generation, yet in dense scenes, they often collapse into a box repetition loop, repeatedly em...
Multimodal code intelligence connects the symbolic world of programs with the visual world their execution creates. Interest in this capability is burgeoning, as models are increas...
Fine-grained visual understanding requires distinguishing subtle differences in local attributes and spatial relations, yet remains challenging for existing vision-language models....
Max Hodak, the former president and co-founder of Neuralink, detailed on stage at TechCrunch Disrupt how his company's work with PRIMA is part of its path toward a novel brain-comp...
Emerging decision models such as JEV provide typed interfaces that map task instructions and observations directly to choices, judgments, and scores. As these models are increasing...
The Siren Head Movie Is ‘Not What People Are Expecting’Plus, Ti West's horror movie for the Apple Vision Pro.https://gizmodo.com/the-siren-head-movie-is-not-what-people-are-expecti...
A beginner's reflection on the kLab TekHer AI Program — Cohort 2 When I started the "Introduction to...
Woldmere Castleですか。ちょっとシタン先生に相談してみましょうApple Unveils Immersive Horror Film Coming Exclusively to Vision Pro https://www.macrumors.com/2026/10/13/apple-unveils-vision-pro-immersive-h...
This week I learned about computer vision. I knew nothing about it before. In this post I share what...
What I learned on Day 1 of the kLab TekHer AI Program, Cohort 2 — how images are just numbers, how filters reveal edges, how CNNs learn, and why computer vision matters for Rwanda ...
Apple unveils immersive horror film coming to Vision Pro this weekApple has announced that ‘Remnants,’ the first immersive horror film on Vision Pro, is coming this week. Here’s a ...
Textual reasoning before acting has improved vision-language-action (VLA) models, but at the cost of latency: every action conditioned on the reasoning text must wait for autoregre...