Google Research AI blog

JUNE 2, 2023

Building audiovisual datasets for training AV-ASR models, however, is challenging. In contrast, the models themselves are typically large and consist of both visual and audio encoders, and so they tend to overfit on these small datasets. LibriSpeech ). LibriSpeech ). Unconstrained audiovisual speech recognition.

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Candid

FEBRUARY 20, 2025

Every day, nonprofit fundraisers use our in-depth data to identify prospective funders to approach and requests for proposals (RFPs) to apply for. And weve leveraged advanced deep learning AI models that find patterns in data and user behavior to draw connections between millions of organizations.

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Google Research AI blog

JANUARY 18, 2023

I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. Language Models The progress on larger and more powerful language models has been one of the most exciting areas of machine learning (ML) research over the last decade. Let’s get started!

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Nonprofit Tech for Good

FEBRUARY 6, 2022

Although the most popular accounting software products- like QuickBooks and SAP- handle the needs of businesses in many industries, nonprofits have a unique business model and accounting standards and require different features and functionality from accounting software. Here are some common requirements that may apply to your organization.

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TechCrunch

JULY 13, 2022

Companies face several hurdles in creating text-, audio- and image-analyzing AI models for deployment across their apps and services. Cost is an outsize one — training a single model on commercial hardware can cost tens of thousands of dollars, if not more. Geifman proposes neural architecture search (NAS) as a solution.

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Fast Company Tech

MARCH 17, 2025

Wright proposed building the rainwater system, and created the first simple prototype. It’s also working on new models that don’t rely on philanthropy, in order to reach more people. Children often got sick from drinking the water. We were pretty much building gigantic Brita filters, he says. There’s global interest.

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Google Research AI blog

NOVEMBER 8, 2022

Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team Recent advances have expanded the applicability of language models (LM) to downstream tasks. On the other hand, recent work uses pre-trained language models for planning and acting in various interactive environments (e.g.,

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Amy Sample Ward

FEBRUARY 10, 2011

. “Innovating at the speed of communities&# is a big goal, but something organizations and civic institutions can learn a lot from as a model. Communities As A Model. What’s the community-driven model that supports innovating at the speed of communities? Think big : Not just big, but bigger than you.

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The Verge

NOVEMBER 4, 2021

AI could help scan through databases of potential molecules to find some that best fit a particular biological target, for example, or to fine-tune proposed compounds. Isomorphic will try to build models that can predict how drugs will interact with the body, Hassabis told Stat News.

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Google Research AI blog

MAY 23, 2023

As part of this process, the reviewer inspects the proposed code and asks the author for code changes through comments written in natural language. However, with machine learning (ML), we have an opportunity to automate and streamline the code review process, e.g., by proposing code changes based on a comment’s text.

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Google Research AI blog

APRIL 26, 2023

Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow , single-task systems that require large quantities of labeled data to train.

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Google Research AI blog

JULY 13, 2023

Scaling up language models has unlocked a range of new applications and paradigms in machine learning, including the ability to perform challenging reasoning tasks via in-context learning. Language models, however, are still sensitive to the way that prompts are given, indicating that they are not reasoning in a robust manner.

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Google Research AI blog

MAY 16, 2023

While large language models (LLMs) are now beating state-of-the-art approaches in many natural language processing benchmarks, they are typically trained to output the next best response, rather than planning ahead, which is required for multi-turn interactions. The selected sequence of utterances is then fused into a cohesive response.

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Google Research AI blog

MAY 12, 2023

Recent vision and language models (VLMs), such as CLIP , have demonstrated improved open-vocabulary visual recognition capabilities through learning from Internet-scale image-text pairs. The category text embeddings are obtained by feeding the category names through the text model of pretrained VLM (which has both image and text models)r.

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Google Research AI blog

JULY 6, 2023

Collecting such labeled data is costly, and models trained on this data are often tailored to a specific use case, limiting their ability to generalize to different datasets. To address these challenges, in “ Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval ”, we propose a task called zero-shot CIR (ZS-CIR).

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Google Research AI blog

AUGUST 8, 2023

While conventional neural networks have a fixed function and computation capacity, i.e., they spend the same number of FLOPs for processing different inputs, a model with adaptive and dynamic computation modulates the computational budget it dedicates to processing each input, depending on the complexity of the input.

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The Verge

APRIL 16, 2021

Google is going it alone with its proposed advertising technology to replace third-party cookies. It is a big test for Google’s proposed FLoC technology: if Microsoft isn’t going to support it, that would pretty much mean Chrome really will be going it alone with this technology. Illustration by James Bareham / The Verge.

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Google Research AI blog

FEBRUARY 2, 2023

For research, it has not only reduced language model latency for users , designed computer architectures , accelerated hardware , assisted protein discovery , and enhanced robotics , but also provided a reliable backend interface for users to search for neural architectures and evolve reinforcement learning algorithms. Search, Ads, YouTube).

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Google Research AI blog

JUNE 6, 2023

We fine-tuned a large language model to proactively suggest relevant visuals in open-vocabulary conversations using a dataset we curated for this purpose. For example, out of context, the transcription model misunderstood the word "pier" as "pair", but Visual Captions still recommends images of the Santa Monica Pier.

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Google Research AI blog

APRIL 25, 2023

Posted by Yicheng Fan and Dana Alon, Software Engineers, Google Research Every byte and every operation matters when trying to build a faster model, especially if the model is to run on-device. Using a search space built on backbones taken from MobileNetV2 and MobileNetV3 , we find models with top-1 accuracy on ImageNet up to 4.9%

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Google Research AI blog

JUNE 13, 2023

Modeling human attention (the result of which is often called a saliency model) has therefore been of interest across the fields of neuroscience, psychology, human-computer interaction (HCI) and computer vision. Attention-guided image editing Human attention models usually take an image as input (e.g.,

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DataRobot

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

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Google Research AI blog

FEBRUARY 8, 2023

In “ Self-supervised, Refine, Repeat: Improving Unsupervised Anomaly Detection ”, we propose a novel unsupervised AD framework that relies on the principles of self-supervised learning without labels and iterative data refinement based on the agreement of one-class classifier (OCC) outputs. GOAD , CutPaste ) models.

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Google Research AI blog

NOVEMBER 29, 2022

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team In recent years, language models (LMs) have become more prominent in natural language processing (NLP) research and are also becoming increasingly impactful in practice. Scaling up LMs has been shown to improve performance across a range of NLP tasks.

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The Verge

JUNE 24, 2020

In the study in question, titled “A Deep Neural Network Model to Predict Criminality Using Image Processing,” researchers claimed to have created a facial recognition system that was “capable of predicting whether someone is likely going to be a criminal. Image: Xiaolin Wu and Xi Zhang, “Automated Inference on Criminality Using Face Images”.

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The AI Alignment Forum

MARCH 13, 2025

Published on March 13, 2025 7:18 PM GMT We study alignment audits systematic investigations into whether an AI is pursuing hidden objectivesby training a model with a hidden misaligned objective and asking teams of blinded researchers to investigate it. As a testbed, we train a language model with a hidden objective.

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Google Research AI blog

JUNE 1, 2023

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team Large-scale models, such as T5 , GPT-3 , PaLM , Flamingo and PaLI , have demonstrated the ability to store substantial amounts of knowledge when scaled to tens of billions of parameters and trained on large text and image datasets.

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Bloomerang

NOVEMBER 10, 2023

Having a framework is the magic wand to writing a successful grant proposal. Step #1) G – Get the FOA/RFP/NOFA The first step in developing a grant template with the GRANTS formula is to G et the Funding Opportunity Announcement (FOA) or Request of Proposal (RFP) or NOFA (Notice of Funding Availability): i.e. the grant instructions.

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The Next Web

NOVEMBER 22, 2013

How can you evaluate your conversations with them to ensure that you make the right choice? Knowing the right questions to ask is super important, but so is knowing how to evaluate what each agency is telling you — not only in the answers they give, but in everything they tell you. Ask the right questions. Is it about you, or them?

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The Verge

APRIL 29, 2021

This model of robot is being tested to evaluate its capabilities against other models in use by our emergency service unit and bomb squad.”. In response to outcry over the machine, New York City Council Member Ben Kallos proposed a law that would ban the police from owning or operating weaponized robots. “I

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Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. We provided a model-based taxonomy that unified many graph learning methods. In addition, we discovered insights for GNN models from their performance across thousands of graphs with varying structure (shown below).

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Candid

OCTOBER 17, 2024

The article outlines steps for establishing an evaluation process for bias and harm, building an ethical AI tool, and testing and providing ethical usage guidelines before launch. Is your nonprofit thinking about using ChatGPT? Your first step is to do no harm. Where can fundraisers and grant writers read more about using AI technology?

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.orgSource

APRIL 17, 2023

Set the example by modeling the behavior you would like to see. Welcome every proposal. Although this explanation sounds more like it belongs in the classroom than the office, my takeaway is the focus on uniquely human skills. Don’t waste valuable brain power. Intimidation is Roundup for creativity.

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Google Research AI blog

MAY 12, 2023

Prior research has investigated several important technical building blocks to enable conversational interaction with mobile UIs, including summarizing a mobile screen for users to quickly understand its purpose, mapping language instructions to UI actions and modeling GUIs so that they are more amenable for language-based interaction.

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DataRobot

NOVEMBER 17, 2022

Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. A well-designed model combined with proper AI governance can help minimize unintended outcomes like AI bias.

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Candid

JANUARY 21, 2025

In the nonprofit space, large language models like ChatGPT can support overworked staff that operate with limited resources. According to a Candid survey , 23% of grantmakers say they dont accept AI-generated grant proposals. Nonprofits may lack the technical expertise and staff capacity to evaluate or adopt AI effectively.

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Google Research AI blog

FEBRUARY 23, 2023

In the same way that BERT or GPT-3 models provide general-purpose initialization for NLP, large RL–pre-trained models could provide general-purpose initialization for decision-making. Our shared vision backbone also utilized a learned position embedding (akin to Transformer models) to keep track of spatial information in the game.

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