The AI Evangelist

The AI Evangelist

@AiEvangelist

55 Publicações

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09/09/1990

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:47:04 ·

Zero-shot mono-to-binaural speech synthesis

Humans possess a remarkable ability to localize sound sources and perceive the surrounding environment through auditory cues alone. This sensory ability, known as spatial hearing, plays a critical role in numerous everyday tasks, including identifying speakers in crowded conversations and navigating complex environments. Hence,...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:47:03 ·

Parfait: Enabling private AI with research tools

We introduce Parfait, which stands for for “private aggregation & retrieval, federated, analytics, inference, & training”, a new GitHub organization from Google Research that showcases technologies for private AI. As...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:47:02 ·

Chain of Agents: Large language models collaborating on long-context tasks

Over the past few years large language models (LLMs) have shown remarkable capabilities on various tasks, such as reasoning, knowledge retrieval, and generation. However, it is still challenging for LLMs to solve tasks that require long inputs, because they typically have limitations on input length, and hence, cannot utilize the...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:47:01 ·

Urban mobility solutions: Calibrating digital twins at scale

In recent years, machine learning has enabled tremendous advances in urban planning and traffic management. However, as transportation systems become increasingly complex, due to factors like increased traveler and vehicle connectivity and the evolution of new services (e.g., ride-sharing, car-sharing, on-demand transit), finding...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:47:00 ·

Building AI for the pluralistic society

Modern artificial intelligence (AI) systems rely on input from people. Human feedback helps train models to perform useful tasks, guides them toward safe and responsible behavior, and is used to assess their performance. While hailing the recent AI advancements, we should also ask: which humans are we actually talking about? For AI...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:46:59 ·

Mechanism design for large language models

Generative AI and large language models (LLMs) facilitate the automated generation of assets across a variety of domains. For many use cases, several LLM agents may need to collaborate to create a joint output. A potential example is in the context of Internet ads, where advertisers might be represented by LLM agents capable of...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:46:58 ·

Accelerating scientific breakthroughs with an AI co-scientist

In the pursuit of scientific advances, researchers combine ingenuity and creativity with insight and expertise grounded in literature to generate novel and viable research directions and to guide the exploration that follows. In many fields, this presents a breadth and depth conundrum, since it is challenging to navigate the rapid...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:46:57 ·

Mind the GAP: Geometry Aware Passthrough mitigates cybersickness

Virtual reality (VR) headsets are becoming increasingly popular, especially in environments that benefit from immersion, such as gaming and education. In part, they accomplish this by restricting the user's perception to the virtual world that they are projecting. Yet many headsets, such as Meta Quest, Apple Vision Pro, and Samsung...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:46:55 ·

Discovering new words with confidential federated analytics

Introduced by Google Research in 2020, federated analytics allows for the application of data science methods to the analysis of raw data stored locally on users’ devices so that only the aggregated results — and not data from any particular device — are made available to product engineers. This keeps users' data private, while...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 18:46:55 ·

From diagnosis to treatment: Advancing AMIE for longitudinal disease management

Effective clinical reasoning — the totality of all the decisions that go into patient care — is a cornerstone of healthcare. High quality clinical reasoning is a hallmark of expert clinicians and requires not only accurate diagnosis but also sophisticated reasoning about disease progression, therapeutic response, safe medication...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:36 ·

Generating synthetic data with differentially private LLM inference

Differential privacy (DP) provides mathematically rigorous guarantees that an algorithm will not reveal details about an individual’s data. However, endowing algorithms with DP guarantees can add complexity to an already complex machine learning (ML) pipeline. This is especially true at the scale of modern ML, where pipelines are...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:35 ·

Loss of Pulse Detection on the Google Pixel Watch 3

Unwitnessed out-of-hospital cardiac arrest (OHCA), when an individual experiences a pulseless arrhythmia without nearby bystanders who could activate an emergency response on their behalf, is a seemingly intractable public health challenge. OHCA leads to millions of deaths worldwide, and it is estimated that one half to three...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:34 ·

Load balancing with random job arrivals

Cluster management systems, such as Google’s Borg, run hundreds of thousands of jobs across tens of thousands of machines with the goal of achieving high utilization via effective load balancing, efficient task placement, and machine sharing. Load balancing is the process of distributing network traffic or computational workloads...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:33 ·

Deciphering language processing in the human brain through LLM representations

How does the human brain process natural language during everyday conversations? Theoretically, large language models (LLMs) and symbolic psycholinguistic models of human language provide a fundamentally different computational framework for coding natural language. Large language models do not depend on symbolic parts of speech or...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:33 ·

The evolution of graph learning

Graphs mathematically represent the connections between things (people, places, objects, etc). They’re all around us, in the real world and in our engineered systems — such as social networks, computer networks, communication systems, transportation systems, and biological networks. They provide a powerful and flexible way to...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:32 ·

ECLeKTic: A novel benchmark for evaluating cross-lingual knowledge transfer in LLMs

Imagine you are traveling around eastern Java, Indonesia, and your tour guide mentions the Sarwadharma inscription, an ancient artifact from the time of King Kertanagara that was found nearby. You want to know more, so you go online and ask a large language model (LLM), like Gemini, for some details. You soon find that if you ask...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:31 ·

Evaluating progress of LLMs on scientific problem-solving

The advancement of science relies on the ability to build upon the collective knowledge accumulated in scientific literature, requiring not only deep domain expertise and reasoning skills, but also the capacity to apply that knowledge within the context of a given problem. Large language models (LLMs) have already shown remarkable...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:30 ·

Geospatial Reasoning: Unlocking insights with generative AI and multiple foundation models

When you get the best route from Google Maps, explore a new place in Street View, look at your neighbourhood on Google Earth, or check the weather forecast with Search, you’re using geospatial data. For decades, Google has organized the world’s geospatial information — data associated with a specific geographical location — and...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:30 ·

Teaching machines the language of biology: Scaling large language models for next-generation single-cell analysis

Every human is made up of trillions of cells, each with its own function, whether it’s carrying oxygen, fighting infections, or building organs. Even within the same tissue, no two cells are exactly alike. Single-cell RNA sequencing (scRNA-seq) allows us to measure the gene expression of individual cells, revealing what each cell...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:53:29 ·

InstructPipe: Generating Visual Blocks pipelines with human instructions and LLMs

To accelerate machine learning (ML) prototyping with interactive tools, we previously introduced Visual Blocks for ML at CHI 2023 and WebAI Summit 2024. Visual Blocks is a visual programming framework that lets you program in a visual editor by connecting blocks on a workspace into a flow of blocks, which we call a node-graph...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:41:04 ·

A new hybrid platform for quantum simulation of magnetism

A primary goal in quantum computing is quantum simulation of physical systems that are too complex to be studied on even the world’s best classical computers. To achieve this, two features are of particular importance: flexibility and speed. First, a quantum computer needs to be flexible enough to target a wide range of relevant...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:41:03 ·

Introducing Mobility AI: Advancing urban transportation

Traffic gridlock, environmental concerns, and unacceptable road fatalities (38,585 U.S. traffic deaths in 2023) are among the increasingly complex transportation challenges being faced by rapidly growing cities. These issues are compounded by evolving trends: ride-sharing services alter parking demand while increasing the need for...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:41:02 ·

Improving brain models with ZAPBench

Inside every brain lies a staggering number of neurons, firing complex patterns of electrical impulses through a vast and intricate network of synapses. Understanding these patterns is key to understanding how they generate complex behavior. The pursuit of connectomics — comprehensively mapping all the neural connections in the...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:41:01 ·

Learning to clarify: Multi-turn conversations with Action-Based Contrastive Self-Training

Large language models (LLMs) that have been optimized through human feedback have rapidly emerged as a leading paradigm for developing intelligent conversational agents. However, despite their strong performance across many benchmarks, LLM-based agents can still lack multi-turn conversational skills such as disambiguation — when...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:41:00 ·

Zooming in: Efficient regional environmental risk assessment with generative AI

Earth system models represent our best tool to predict and prepare for future changes to Earth’s environment. However, the immense computational cost of running these models at high resolution limits their ability to make regional projections at fine scales. Indeed, a typical limiting scale for these models is comparable in size to...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:40:59 ·

Optimizing LLM-based trip planning

Many real-world planning tasks involve both harder “quantitative” constraints (e.g., budgets or scheduling requirements) and softer “qualitative” objectives (e.g., user preferences expressed in natural language). Consider someone planning a week-long vacation. Typically, this planning would be subject to various clearly...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:40:58 ·

A colorful quantum future

Error correction is a key component of tomorrow’s large scale quantum computers. Using error correction, we can combine many “physical qubits” (in our devices, these are small superconducting circuits that can store quantum information, but are sensitive to noise) into an ensemble that works together to store a single “logical...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:40:57 ·

Unlocking rich genetic insights through multimodal AI with M-REGLE

Everything from medical specialists with cutting-edge technology to simple smartwatches are generating data on an unprecedented scale. The aggregation of electronic health records, medical imaging, diagnostic tests, genomic data, and even real-time measurements from smartwatches creates a wealth of data for researchers and...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:40:57 ·

From research to climate resilience

At Google Research, we're driven by exploring the art of the possible. Our research impacts products, businesses, scientific discovery, and society. Today, the opportunity to help solve seemingly impossible problems with breakthrough research is greater than ever, as is the opportunity to translate this research into real-world...

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The AI Evangelist @AiEvangelist posted an article in AI
2025-07-29 06:40:56 ·

MUVERA: Making multi-vector retrieval as fast as single-vector search

Neural embedding models have become a cornerstone of modern information retrieval (IR). Given a query from a user (e.g., “How tall is Mt Everest?”), the goal of IR is to find information relevant to the query from a very large collection of data (e.g., the billions of documents, images, or videos on the Web). Embedding models...

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