While multimodal models (LMMs) have advanced significantly for text and image tasks, video-based models remain underdeveloped. Videos are inherently complex, […]
Category: AI
UBC Researchers Introduce ‘First Explore’: A Two-Policy Learning Approach to Rescue Meta-Reinforcement Learning RL from Failed Explorations
Reinforcement Learning is now applied in almost every pursuit of science and tech, either as a core methodology or to […]
Gaze-LLE: A New AI Model for Gaze Target Estimation Built on Top of a Frozen Visual Foundation Model
Accurately predicting where a person is looking in a scene—gaze target estimation—represents a significant challenge in AI research. Integrating complex […]
Microsoft AI Research Introduces OLA-VLM: A Vision-Centric Approach to Optimizing Multimodal Large Language Models
Multimodal large language models (MLLMs) are advancing rapidly, enabling machines to interpret and reason about textual and visual data simultaneously. […]
Meta FAIR Releases Meta Motivo: A New Behavioral Foundation Model for Controlling Virtual Physics-based Humanoid Agents for a Wide Range of Complex Whole-Body Tasks
Foundation models, pre-trained on extensive unlabeled data, have emerged as a cutting-edge approach for developing versatile AI systems capable of […]
The dark side of AI: How automation is fueling identity theft
Automations empowered by artificial intelligence are reshaping the business landscape. They give companies the capability to connect with, guide, and […]
Nexa AI Releases OmniAudio-2.6B: A Fast Audio Language Model for Edge Deployment
Audio language models (ALMs) play a crucial role in various applications, from real-time transcription and translation to voice-controlled systems and […]
DeepSeek-AI Open Sourced DeepSeek-VL2 Series: Three Models of 3B, 16B, and 27B Parameters with Mixture-of-Experts (MoE) Architecture Redefining Vision-Language AI
Integrating vision and language capabilities in AI has led to breakthroughs in Vision-Language Models (VLMs). These models aim to process […]
BiMediX2: A Groundbreaking Bilingual Bio-Medical Large Multimodal Model integrating Text and Image Analysis for Advanced Medical Diagnostics
Recent advancements in healthcare AI, including medical LLMs and LMMs, show great potential for improving access to medical advice. However, […]
Meta AI Proposes Large Concept Models (LCMs): A Semantic Leap Beyond Token-based Language Modeling
Large Language Models (LLMs) have achieved remarkable advancements in natural language processing (NLP), enabling applications in text generation, summarization, and […]