Record growth masks serious challenges
A comprehensive AI sector study – conducted by the Department for Science, Innovation and Technology (DSIT) in collaboration with Perspective...
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MCSFF Framework: A Novel Multimodal Entity Alignment Framework Designed to Capture Consistency and Specificity Information across Modalities
Multi-modal entity alignment (MMEA) is a technique that leverages information from various data sources or modalities to identify corresponding entities...
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Penguin Random House says no AI training on its books
Penguin Random House (PRH) has taken a significant step in response to rising concerns about the use of intellectual property...
Generative Reward Models (GenRM): A Hybrid Approach to Reinforcement Learning from Human and AI Feedback, Solving Task Generalization and Feedback Collection Challenges
Reinforcement learning (RL) has been pivotal in advancing artificial intelligence by enabling models to learn from their interactions with the...
AI startup Ideogram launches infinite Canvas for manipulating, combining generated images
Users can spread newly generated images out, compare them to older ones, resize and reorder them at will, and even...
IBM unveils Granite 3.0 AI models with open-source commitment
IBM has taken the wraps off its most sophisticated family of AI models to date, dubbed Granite 3.0, at the...
Google DeepMind Introduces Diffusion Model Predictive Control (D-MPC): Combining Multi-Step Action Proposals and Dynamics Models Using Diffusion Models for Online MPC
Model Predictive Control (MPC), or receding horizon control, aims to maximize an objective function over a planning horizon by leveraging...
IBM debuts open source Granite 3.0 LLMs for enterprise AI
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AI meets blockchain and decentralised data
Blockchain can become a potent force as the foundation of decentralised AI systems, transparent and fair – ensuring everyone can...
Rethinking Direct Alignment: Balancing Likelihood and Diversity for Better Model Performance
The problem of over-optimization of likelihood in Direct Alignment Algorithms (DAAs), such as Direct Preference Optimisation (DPO) and Identity Preference...
Meta Introduces Spirit LM open source model that combines text and speech inputs/outputs
Spirit LM Expressive incorporates emotional cues into its speech generation and can detect and reflect anger, surprise, or joy.Read More...
Google announces restructuring to accelerate AI initiatives
Google CEO Sundar Pichai has announced a series of structural changes and leadership appointments aimed at accelerating the company’s AI...
Google DeepMind Introduces Omni×R: A Comprehensive Evaluation Framework for Benchmarking Reasoning Capabilities of Omni-Modality Language Models Across Text, Audio, Image, and Video Inputs
Omni-modality language models (OLMs) are a rapidly advancing area of AI that enables understanding and reasoning across multiple data types,...
Small but mighty: H2O.ai’s new AI models challenge tech giants in document analysis
H2O.ai has released efficient vision-language models for document AI, challenging tech giants with superior performance in OCR and text recognition...
Endor Labs unveils evaluation tool
Endor Labs has begun scoring AI models based on their security, popularity, quality, and activity. Dubbed ‘Endor Scores for AI...
