​[[{“value”:” While multimodal models (LMMs) have advanced significantly for text and image tasks, video-based models remain underdeveloped. Videos are inherently complex, combining spatial and temporal dimensions that demand more from computational resources. Existing methods often adapt image-based approaches directly or rely on uniform frame sampling,… Read More »Meta AI Releases Apollo: A New Family of Video-LMMs Large Multimodal Models for Video Understanding Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement Learning is now applied in almost every pursuit of science and tech, either as a core methodology or to optimize existing processes and systems. Despite broad adoption even in highly advanced fields, RL lags in some fundamental skills. Sample Inefficiency is one such… Read More »UBC Researchers Introduce ‘First Explore’: A Two-Policy Learning Approach to Rescue Meta-Reinforcement Learning RL from Failed Explorations Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accurately predicting where a person is looking in a scene—gaze target estimation—represents a significant challenge in AI research. Integrating complex cues such as head orientation and scene context must be used to infer gaze direction. Traditionally, methods for this problem use multi-branch architectures, processing… Read More »Gaze-LLE: A New AI Model for Gaze Target Estimation Built on Top of a Frozen Visual Foundation Model Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Today, we are excited to announce that the Llama 3.3 70B from Meta is available in Amazon SageMaker JumpStart. Llama 3.3 70B marks an exciting advancement in large language model (LLM) development, offering comparable performance to larger Llama versions with fewer computational resources. In… Read More »Llama 3.3 70B now available in Amazon SageMaker JumpStart Marc Karp AWS Machine Learning Blog

​Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a physical robot? We present a system for augmenting Apple Vision Pro with real-time virtual robot feedback. By providing users with an intuitive understanding of how their actions… Read More »ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition Apple Machine Learning Research

​[[{“value”:” Multimodal large language models (MLLMs) are advancing rapidly, enabling machines to interpret and reason about textual and visual data simultaneously. These models have transformative applications in image analysis, visual question answering, and multimodal reasoning. By bridging the gap between vision & language, they play… Read More »Microsoft AI Research Introduces OLA-VLM: A Vision-Centric Approach to Optimizing Multimodal Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Foundation models, pre-trained on extensive unlabeled data, have emerged as a cutting-edge approach for developing versatile AI systems capable of solving complex tasks through targeted prompts. Researchers are now exploring the potential of extending this paradigm beyond language and visual domains, focusing on behavioral… Read More »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 Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressions—and to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative… Read More »AWS re:Invent 2024 Highlights: Top takeaways from Swami Sivasubramanian to help customers manage generative AI at scale Swami Sivasubramanian AWS Machine Learning Blog

​We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk. We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk.  Read More  

​[[{“value”:” Organizations are continuously seeking ways to use their proprietary knowledge and domain expertise to gain a competitive edge. With the advent of foundation models (FMs) and their remarkable natural language processing capabilities, a new opportunity has emerged to unlock the value of their data… Read More »Multi-tenant RAG with Amazon Bedrock Knowledge Bases Emanuele Levi AWS Machine Learning Blog