Dataconomy

JULY 14, 2023

Sensors are often used in Machine to Machine applications because they can collect data in real time RFID tags : RFID tags are devices that can be used to identify and track objects. RFID tags can be attached to objects in order to collect data about their location, movement, and status.

Cloud Computing 91

Cloud Computing Machine Learning Machine Learning Internet of Things 91

Hacker News

MARCH 25, 2022

Transformers use positional encoders to tag data elements coming in and out of the network. Attention units follow these tags, calculating a kind of algebraic map of how each element relates to the others. A look under the hood from a presentation by Aidan Gomez, one of eight co-authors of the 2017 paper that defined transformers.

Machine Learning 180

Machine Learning Machine Learning AI AI 180

Google Research AI blog

JUNE 7, 2023

SQuId takes an utterance as input and an optional locale tag (i.e., The pooling / regression layer aggregates the vectors, appends the locale tag, and feeds the result into a fully connected layer that returns a score. Acknowledgements The author of this post is now part of Google DeepMind. Parikh, and Jason Riesa.

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IBM Data Science in Practice

MARCH 8, 2023

DeepMind launched AlphaFold , which can accurately predict 3D models of protein structures, accelerating research in nearly every field of biology. Source: IBM Cloud Pak for Data Feature Catalog Users can manage feature definitions and enrich them with metadata, such as tags, transformation logic, or value descriptions.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Dataconomy

APRIL 27, 2023

Examples of specialized AI computers include DeepMind’s AlphaGo (a system that defeated the world champion of Go), Boston Dynamics’ Spot (a four-legged robot that can navigate complex terrains), and IBM’s Watson Health (a system that can analyze medical data and provide diagnosis and treatment recommendations).

Natural Language Processing 203

Natural Language Processing AI AI Artificial Intelligence 203

Dataconomy

JUNE 29, 2023

It offers a comprehensive suite of libraries and datasets for tasks like tokenization, stemming, tagging, parsing, and more. Featured image credit: Photo by Google DeepMind on Unsplash. NLTK NLTK (Natural Language Toolkit) is a library specifically designed for natural language processing (NLP) tasks.

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Google Research AI blog

JUNE 23, 2023

This includes: (1) externally tagged features provided by the user as input, along with a cache lookup request, and (2) internally constructed dynamic features (e.g., Acknowledgements Ramki Gummadi is now part of Google DeepMind. time since last access, average time between accesses) constructed from lookup times observed on each item.

Algorithm 79

Algorithm Machine Learning Machine Learning Computer Science 79