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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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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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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Google Research AI blog

MARCH 17, 2023

Current dense video captioning approaches, however, have several limitations — for example, they often contain highly specialized task-specific components, which make it challenging to integrate them into powerful foundation models. The architecture is initialized with a powerful visual backbone and a strong language model.

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The Verge

NOVEMBER 19, 2020

But deliver Apple did, with computers powered by a new M1 processor that aren’t just close to their previous Intel counterparts, but crush them in nearly every respect — and not just the base model Intel chips that the M1 purports to replace, either. Paul Hudson (@twostraws) November 17, 2020.

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DataRobot

APRIL 21, 2022

This increase in accuracy is important to make AI applications good enough for production , but there has been an explosion in the size of these models. It is safe to say that the accuracy hasn’t been linearly increasing with the size of the model. They define it as “buying” stronger results by just throwing more compute at the model.

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Towards Data Science

DECEMBER 1, 2023

Static workload benchmark is insufficient. The standard way to evaluate ANN indexes is to use a static workload benchmark , which consists of a fixed dataset and a fixed query set. A static workload benchmark. This evaluation approach was popularized by the ann-benchmarks project which started 5 years ago. MIT Licence.

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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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Google Research AI blog

JUNE 23, 2023

LRB , LHD , storage applications ), it remains a challenge to outperform robust heuristics in a way that can generalize reliably beyond benchmarks to production settings, while maintaining competitive compute and memory overheads. HALP learns its reward model fully online starting from a random weight initialization.

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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 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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Google Research AI blog

JUNE 9, 2023

Further, TGIE represents a substantial opportunity to improve training of foundational models themselves. We also introduce EditBench , a method that gauges the quality of image editing models. The model meaningfully incorporates the user’s intent and performs photorealistic edits. First, unlike prior inpainting models (e.g.,

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The Verge

JULY 30, 2021

For comparison, the top-of-the-line RX 6900 XT 80 compute units, while the RX 6700 XT offers 40 compute units. The company cited research from IDC that claimed that roughly two-thirds of gaming displays sold last year were 1080p panels — but also that growth in high-refresh displays was 20 times higher than lower-refresh rate models.

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Google Research AI blog

JUNE 21, 2023

This work led to the development of Project Relate for anyone with atypical speech who could benefit from a personalized speech model. Built in partnership with Google’s Speech team , Project Relate enables people who find it hard to be understood by other people and technology to train their own models.

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Google Research AI blog

MARCH 31, 2023

Posted by Piotr Padlewski and Josip Djolonga, Software Engineers, Google Research Large Language Models (LLMs) like PaLM or GPT-3 showed that scaling transformers to hundreds of billions of parameters improves performance and unlocks emergent abilities. At first, the new model scale resulted in severe training instabilities.

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TechNode

MARCH 12, 2024

His comments also come as OpenAIs text-to-video model Sora kicks off a new round of AI mania worldwide. However, comparison is inevitable, and Chinese companies focusing on AI products have always benchmarked their products against OpenAI’s models. He emphasized that only applications truly create direct value.”

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Google Research AI blog

JANUARY 25, 2023

The best expert in hindsight (and hence the benchmark to compare against) is the middle one, with total reward 21. In “ Online Learning and Bandits with Queried Hints ” (presented at ITCS 2023 ), we show how an ML model that provides us with a weak hint can significantly improve the performance of an algorithm in bandit-like settings.

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Google Research AI blog

MARCH 7, 2023

Below we summarize the characteristics of HierText in comparison with other OCR datasets. The HierText challenge The HierText Challenge represents a novel task and with unique challenges for OCR models. These OCR products digitize and democratize the valuable information that is stored in paper or image-based sources (e.g.,

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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. As an example, for graphs with 10T edges, we demonstrate ~100-fold improvements in pairwise similarity comparisons and significant running time speedups with negligible quality loss. You can find other posts in the series here.)

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The Verge

OCTOBER 21, 2020

Either it’s built up from the base model with key improvements (as happened with last year’s iPad Air ) or it’s based on the premium, flagship version with some expensive parts stripped out or replaced. It’s the exact same size and shape as the 11-inch model. However, the comparison isn’t apples-to-apples (pardon the pun).

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Google Research AI blog

MARCH 28, 2023

Posted by Harsh Mehta, Software Engineer, and Walid Krichene, Research Scientist, Google Research Large deep learning models are becoming the workhorse of a variety of critical machine learning (ML) tasks. In practice, DP training can be very expensive or even ineffective for very large models.

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TechNode

AUGUST 30, 2023

Currently, consumers can directly purchase one of a limited batch of Mate 60 Pro models with 12GB+521 GB storage, priced at RMB 6,999 ($960). However, the Mate 60 Pro model, which reportedly incorporates a self-developed 5G processor, could pave the way for Huawei to recapture some of its lost share of the smartphone market.

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The Verge

NOVEMBER 10, 2020

To me, you don’t include a “pro” model on day one unless you are very confident in the benchmarks and performance. Better to stick with just the mid-range model if you’re not sure. Apple is surely going to tout some impressive benchmarks for these Macs. But nope, Apple’s apparently going all-in. How fast is fast?

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The Next Web

DECEMBER 2, 2013

Then Google and Benchmark pumped $258 million more into it this past August. In comparison to creating effective and data-driven distribution funnels to get your app out to millions, software is cheap. The Huge team took a deep dive at the numbers on CrunchBase to work up estimates for Uber.

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M+R

JUNE 18, 2024

Cookieless reporting: what’s your approach, and what are your benchmarks? The point is, a fractured landscape makes comparisons across vendors harder. This is also a good time to look at your attribution model and consider investing in media mix modeling to help you evaluate performance across platforms without cookies.

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Google Research AI blog

JULY 11, 2023

Although prior work has demonstrated the benefits of ML in design optimization, the lack of strong, reproducible baselines hinders fair and objective comparison across different methods and poses several challenges to their deployment. cycle - accurate vs. ML - based proxy models ).

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TechNode

APRIL 19, 2024

The Pura 70 Pro/Ultra models went on sale in China on Thursday, while the Standard/Pro+ models will be available on April 22. The tech blogger Digital Chat Station revealed that the processors in the Pro and Ultra models are both identified as the Kirin 9010. operating system.

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The Verge

AUGUST 10, 2021

inch screen is large enough to invite you to open multiple windows for side-by-side comparisons or just better multitasking. The model I’ve been able to try out is the mid-tier version with a 10th Gen Core i3 processor and 4GB of RAM. It might be fine if all you use is a single window, but the 21.5-inch

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Google Research AI blog

NOVEMBER 3, 2022

For example, the quintessential benchmark of training a deep RL agent on 50+ Atari 2600 games in ALE for 200M frames (the standard protocol) requires 1,000+ GPU days. Here, we propose an alternative approach to RL research, where prior computational work, such as learned models, policies, logged data, etc.,

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The AI Alignment Forum

MARCH 12, 2025

Published on March 12, 2025 5:56 PM GMT Summary The Stages-Oversight benchmark from the Situational Awareness Dataset tests whether large language models (LLMs) can distinguish between evaluation prompts (such as benchmark questions) and deployment prompts (real-world user inputs).

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DataRobot

APRIL 20, 2021

At DataRobot , we define the benchmark of AI maturity as AI you can trust. In this installment, I’ll cover four key elements of trusted AI that relate to the performance of a model: data quality, accuracy, robustness and stability, and speed. Binary classification models are often optimized using an error metric called LogLoss.

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TechCrunch

MARCH 5, 2021

After this is done , Pariti benchmarks each company against its peers. Companies in the same industry, product stage, revenue, fundraising are some of the comparisons made. It charges a subscription model for investors, but Berhane wouldn’t disclose the numbers. ” It doesn’t end there. ” Berhane said.

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The Verge

AUGUST 10, 2021

The base model starts at $2,039 and includes a Core i5-1135G7, 8GB of RAM, 128GB of storage, and a 14-inch 1920 x 1200 screen. I tested a more expensive 2-in-1 model listed at $2,926.75 I tested a more expensive 2-in-1 model listed at $2,926.75 New to this Latitude model is the SafeShutter, an automated physical camera cover.

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The Verge

APRIL 20, 2021

inch and 15-inch Surface Laptop models with either Intel’s 11th-Gen processors or AMD’s Ryzen 4000 processors. But more importantly, there’s another company out there that recently made a huge chip upgrade to its flagship models, which has left most other 2020 chip upgrades in the dust: Apple, with its Arm-based M1. It costs $1,699.

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The Verge

MAY 18, 2021

inch model from 2019 that it’s replacing. The model I tested bumps the storage up to 512GB and the memory up to 16GB. I also received both the Magic Mouse and the Magic Trackpad with my model. That advantage bore out in our benchmark testing. In this comparison, multi-core results are more important.

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The AI Alignment Forum

APRIL 10, 2025

We first show Method 1: time-horizon-extension , a relatively simple model which forecasts when SC will arrive by extending the trend established by METRs report of AIs accomplishing tasks that take humans increasing amounts of time. Our distributions accounting for factors outside of this model are wider.

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DNL OmniMedia

MAY 7, 2024

Industry benchmarks and comparisons: Consider the larger trends at play that impact your results. Industry benchmarks can help audience members compare your organization’s performance against industry standards and identify key performance indicators (KPIs) that help set realistic goals.

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