Updates to Veo, Imagen and VideoFX, plus introducing Whisk in Google Labs
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While video models often “hallucinate” unwanted details — extra fingers or unexpected objects, for example — Veo 2 produces these less frequently,…
Lara Ozkan named 2025 Marshall Scholar | MIT News
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Lara Ozkan, an MIT senior from Oradell, New Jersey, has been selected as a 2025 Marshall Scholar and will begin graduate studies…
Multi-tenant RAG with Amazon Bedrock Knowledge Bases
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Organizations are continuously seeking ways to use their proprietary knowledge and domain expertise to gain a competitive edge. With the advent of…
Nexa AI Releases OmniAudio-2.6B: A Fast Audio Language Model for Edge Deployment
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Audio language models (ALMs) play a crucial role in various applications, from real-time transcription and translation to voice-controlled systems and assistive technologies….
BiMediX2: A Groundbreaking Bilingual Bio-Medical Large Multimodal Model integrating Text and Image Analysis for Advanced Medical Diagnostics
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Recent advancements in healthcare AI, including medical LLMs and LMMs, show great potential for improving access to medical advice. However, these models…
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
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Integrating vision and language capabilities in AI has led to breakthroughs in Vision-Language Models (VLMs). These models aim to process and interpret…
Meta AI Proposes Large Concept Models (LCMs): A Semantic Leap Beyond Token-based Language Modeling
3 Mins read
Large Language Models (LLMs) have achieved remarkable advancements in natural language processing (NLP), enabling applications in text generation, summarization, and question-answering. However,…
From Theory to Practice: Compute-Optimal Inference Strategies for Language Model
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Large language models (LLMs) have demonstrated remarkable performance across multiple domains, driven by scaling laws highlighting the relationship between model size, training…
Beyond the Mask: A Comprehensive Study of Discrete Diffusion Models
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Masked diffusion has emerged as a promising alternative to autoregressive models for the generative modeling of discrete data. Despite its potential, existing…
This AI Paper Introduces SRDF: A Self-Refining Data Flywheel for High-Quality Vision-and-Language Navigation Datasets
3 Mins read
Vision-and-Language Navigation (VLN) combines visual perception with natural language understanding to guide agents through 3D environments. The goal is to enable agents…