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Proyecto Agorá: el BIS incorpora a BBVA, CaixaBank y Santander para explorar nuevas formas de pago internacionales
Tres gigantes de la banca española se suman, de ahora en adelante, al Proyecto Agorá impulsado de manera conjunta por el Banco de Pagos Internacionales (BIS, por sus siglas en inglés) y el Instituto de Finanzas Internacionales (IIF). En concreto, BBVA, CaixaBank y Banco Santander se sumarán a otras compañías del sector privado internacional para…
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Why OpenAI’s new model is such a big deal
This story is from The Algorithm, our weekly newsletter on AI. To get it in your inbox first, sign up here. Welcome back to The Algorithm! This week we’re going to talk about OpenAI’s impressive new reasoning model, called o1. I want to illustrate why it’s such a big deal with an example from my wedding…
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Intrinsic Dimensionality and Compositionality: Linking LLM Hidden States to fMRI Encoding Performance
Cognitive neuroscience studies how the brain processes complex information, particularly language. Researchers are interested in understanding how the brain transforms low-level stimuli, like sounds or words, into higher-order concepts and ideas. One important area of this research is comparing the brain’s language processing mechanisms to those of artificial neural networks, especially large language models (LLMs).…
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Agent Zero: A Dynamic Agentic Framework Leveraging the Operating System as a Tool for Task Completion
AI assistants have the drawback of being rigid, pre-programmed for specific tasks, and in need of more flexibility. The limited utility of these systems stems from their inability to learn and adapt as they are used. Some AI frameworks include hidden features and processes that are difficult for users to access or modify. This lack…
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Understanding the Inevitable Nature of Hallucinations in Large Language Models: A Call for Realistic Expectations and Management Strategies
Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks. Hallucinations, defined as plausible but incorrect information generated by models, emerged as a central concern. Studies explored whether these errors…
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What’s Slowing Down Text-to-Speech Systems—And How Can We Fix It? This AI Paper Present Super Monotonic Alignment Search
A significant challenge in text-to-speech (TTS) systems is the computational inefficiency of the Monotonic Alignment Search (MAS) algorithm, which is responsible for estimating alignments between text and speech sequences. MAS faces high time complexity, particularly when dealing with large inputs. The complexity is O(T×S), where T is the text length and S is the speech…
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Microsoft Unveils Copilot Agents: Revolutionizing Business Productivity
In an exciting move that underscores its commitment to redefining workplace productivity, Microsoft has unveiled Copilot Agents—a new feature within Copilot Studio that allows businesses to build custom AI-powered assistants. These Copilot Agents are integrated into the familiar ecosystem of Microsoft 365 apps and tools, aiming to supercharge business operations by automating repetitive tasks, streamlining…
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OneEdit: A Neural-Symbolic Collaborative Knowledge Editing System for Seamless Integration and Conflict Resolution in Knowledge Graphs and Large Language Models
Artificial Intelligence (AI) has long been focused on developing systems that can store and manage vast amounts of information and update that knowledge efficiently. Traditionally, symbolic systems such as Knowledge Graphs (KGs) have been used for knowledge representation, offering accuracy and clarity. These graphs map entities and their relationships in a structured form, which is…
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Burning Man Is Over, but Regional Burns Keep the Party Going Year-Round
If you’re not ready to say goodbye to Burning Man’s vibes—or if you’re looking for “Burning Man Light”—you can attend one of many regional burns around the world.
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TravelAgent: Revolutionizing Personalized Travel Planning Through AI-Driven Itineraries with Real-Time Data, Dynamic Constraints, and Comprehensive User Preferences
With the surge in global tourism, the demand for AI-driven travel assistants is rapidly growing. These systems are expected to generate practical and highly customized itineraries to individual preferences, including dynamic factors such as real-time data and budget constraints. The role of AI in this area is to improve the efficiency of the planning process…