Dataconomy

MARCH 17, 2025

which Apple acquired in 2010. Origins and development The concept of Siri was rooted in complex AI research aimed at understanding human language. Utilizing advanced voice technology and AI, Siri relies on methods such as Automatic Speech Recognition (ASR) and Natural Language Processing (NLP).

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Dataconomy

JUNE 15, 2023

Nonetheless, starting from around 2010, there has been a renewed surge of interest in the field. This can be attributed primarily to remarkable advancements in computer processing power and the availability of vast amounts of data. Deep learning emerged as a highly promising machine learning technology for various applications.

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Dataconomy

OCTOBER 22, 2024

These datasets provide the necessary scale for training advanced machine learning models, which would be difficult for most academic labs to collect independently. Increasingly, big tech companies play a pivotal role in AI research, blurring the lines between academia and industry.

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Dataversity

NOVEMBER 15, 2021

For instance, while there were fewer than 50 million unique malware cases in 2010, the number had […]. Cybersecurity is increasingly leaning towards artificial intelligence (AI) to help mitigate threats because of the innate ability AI has to turn big data into actionable insights.

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Towards AI

JULY 21, 2023

Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 07.26.20 The cryptic book arrived on the internet in the mid 2010’s by the now wildly popular but mysterious internet group 3301. Primus The Liber Primus is unsolved to this day.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Thirdly, the presence of GPUs enabled the labeled data to be processed. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU.

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