Altexsoft

MAY 6, 2022

A cold chain is the supply chain that deals with perishable, temperature-sensitive goods (also called cool cargo) such as fresh produce, meat, dairy, seafood, chemicals, pharmaceutical products, flowers, wine, etc. Typical IoT architecture in cold chains. Demand Forecasting Methods: Using Machine Learning to See the Future of Sales.

Transportation 52

Transportation How To Pharmaceuticals Storage 52

John Snow Labs

FEBRUARY 29, 2024

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). John Snow Labs shares insights from deployed software, highlighting what has been learned through real-world application and providing best practices for the healthcare AI community.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

Altexsoft

SEPTEMBER 9, 2022

Another example is labeling and categorizing objects in any scientific field, be it archeological finds, chemical samples, or living things in biology. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. That’s one of the ways metadata was used long before the computer era.

Tools 59

Tools Technical Review Software Review Systems Review 59

ParkMyCloud

AUGUST 12, 2019

Use cases for the AWS graph database and other similar offerings include: Machine learning , such as intelligent image recognition, speech recognition, intelligent chatbots, and recommendation engines. This is very similar to Aurora, the relational database from Amazon, in its architecture and availability. Social networking.

AWS 9

AWS Backup Storage Chemicals 9

O'Reilly Media - Data

JULY 31, 2018

Data science, machine learning, artificial intelligence, and related technologies are now facing a day of reckoning. Chemists and biologists have had to address the use of their research for chemical and biological weapons. And Cathy O’Neil has proposed auditing machine learning algorithms for fairness.

Data 162

Data Artificial Inteligence Technical Review Software Review 162

Altexsoft

AUGUST 27, 2022

Today, researchers usually apply high throughput screening (HTS) to select promising hits from a large library of chemical and biological compounds. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. and enables generating chemical entities for a specific target.

Artificial Inteligence 52

Artificial Inteligence Chemicals Technical Review Research 52

Altexsoft

MAY 28, 2020

But at the architectural level, they haven’t changed much over the last decades, preserving the structure similar to early expert solutions. CDSS architecture. a knowledge base in the form of if-then rules or machine learning models. The core difference from the previous group consists in applying machine learning models.

Systems Review 78

Systems Review System Healthcare Technical Review 78

TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

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Artificial Inteligence Machine Learning Biotech Training 274

Cloudera

JULY 20, 2021

Most businesses, whether you are in Retail, Manufacturing, Specialty Chemicals, Telecommunications, consider a 10% market capitalization increase from 2020 to 2021 outstanding. But what would you say to your shareholders when they found out your competitors’ market capitalization grew 35%?

Retail 100

Retail Telecommunications Chemicals Airlines 100

AWS Machine Learning - AI

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. The rest of this post will focus on the technical learnings AWS and SnapLogic have had around using LLMs for text-to-pipeline applications. He currently is working on Generative AI for data integration.

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Artificial Inteligence Applications Generative AI AWS 82