Dataconomy

SEPTEMBER 17, 2024

The DSP accepts a request to display an ad, and checks the user profile information in the database, as well as in the database purchased from the DMP. Of course, the big data analysis algorithms of traffic networks will be more modest than those of Facebook, so it is too early to dream of powerful optimization.

Big Data 113

Big Data Big Data Data Analysis Data Analysis 113

Dataconomy

MAY 8, 2024

its Sonio Detect product, which employs advanced deep learning algorithms to enhance ultrasound image quality in real-time, has gained FDA 510(k) approval. Samsung Electronics, which purchased Medison in 2011 for $22 million, holds a 68.45% ownership in the medical device division. In the U.S.,

AI 103

AI AI Deep Learning Deep Learning 103

Flipboard

MAY 2, 2023

Netflix machine-learning algorithms, for example, leverage rich user data not just to recommend movies, but to decide which new films to make. A blockchain is in essence a large database, decentralized among many users. Generative AI algorithms, like those used to create ChatGPT, train on large language datasets.

Data Science 181

Data Science Data Analysis Data Analysis Computer Science 181

Data Science Blog

JUNE 27, 2023

Lambda – Architecture Introduced in 2011 during the peak of Big Data’s prominence, the Lambda architecture remains a significant presence in the field. For existing event sources, listeners are utilized to stream writes directly from database logs or similar data stores.

Big Data 130

Big Data Big Data Apache Kafka Database 130

IBM Data Science in Practice

JULY 5, 2023

We applied Otter-Knowledge to Drug Discovery, and demonstrated that knowledge-enhanced learned representation enriches protein sequence and SMILES drug databases with a large multi-modal Knowledge Graph fused from different sources. Bindingdb: a web-accessible database of experimentally determined protein–ligand binding affinities.

Database 130

Database Python Algorithm Deep Learning 130

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). They’re mostly trained on general domain corpora, making them less effective on domain-specific tasks.

Algorithm 89

Algorithm Machine Learning Machine Learning Natural Language Processing 89

DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). Conclusion.

Machine Learning 64

Machine Learning Machine Learning Data Quality Algorithm 64