Dataconomy

JULY 14, 2023

M2M is used in a wide variety of applications, such as: Industrial automation : M2M can be used to monitor and control industrial equipment, such as robots and sensors. 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

Iguazio

DECEMBER 5, 2023

Human-annotated datasets offer a level of precision, nuance, and contextual understanding that automated methods struggle to match. Use MLOps solutions to ensure the process is automated, streamlined, scalable and iterative. This means that humans have added information, like labels or tags. Get the dataset here.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. It mainly comprises layers of interconnected processes nodes or neurons. The next layer emphasizes on processes of the input and passes on to the third layer. What is Robotics?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 52

How to Learn Machine Learning

JANUARY 21, 2023

At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. It is used in many areas including robotics, healthcare, finance, marketing and even autonomous vehicles. The key component of AI includes data processing, algorithms, and machine learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

ODSC - Open Data Science

JUNE 19, 2023

As the name suggests, real-time operating systems (RTOS) handle real-time applications that undertake data and event processing under a strict deadline. As opposed to general-purpose operating systems like Windows and MacOS, RTOS performs repeated tasks within specific time constraints and ensures that processes are predictable.

Big Data 96

Big Data Big Data Artificial Intelligence Artificial Intelligence 96

Pickl AI

MARCH 27, 2023

Have you ever wondered how robots work just like human beings? It involves the processing of information and following commands is in the same line as that of the human brain. Well, it’s Natural Language Processing which equips the machines to work like a human. Do you know what powers this human-like operation?

Natural Language Processing 52

Natural Language Processing Data Analysis Data Analysis Machine Learning 52

Flipboard

JUNE 11, 2023

We also pass the `tag: true` option to the ‘AES.encrypt’ method to request the authentication tag, and then pass the tag to the ‘AES.decrypt’ method to verify the integrity of the decrypted data. Pandora’s Black Box Clearly, using any type of automated programming has its dangers. ChatGPT appears authoritative.

AI 170

AI AI SQL Python 170

Smart Data Collective

MAY 27, 2021

Industry-wide regulations in web scraping and other forms of automated data collection are practically non-existent and we probably shouldn’t expect any in the near future. In nearly all cases, websites will forbid any automated data collection. With online data acquisition on the rise, we are treading into mostly uncharted waters.

Big Data 131

Big Data Big Data Database Analytics 131

Women in Big Data

DECEMBER 13, 2023

The Bay Area Chapter of Women in Big Data (WiBD) hosted its second successful episode on the NLP (Natural Language Processing), Tools, Technologies and Career opportunities. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that helps computers understand, interpret and manipulate human language.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

Heartbeat

JUNE 22, 2023

These automated technologies can deal with a variety of requests and duties, freeing up human agents to deal with more complicated problems. Natural language processing (NLP) can help with this. NLP enables robots to comprehend the complexities of human language, such as idioms, metaphors, and sarcasm.

Natural Language Processing 59

Natural Language Processing Machine Learning Machine Learning Deep Learning 59

IBM Journey to AI blog

APRIL 18, 2024

But, unlike humans, AGIs don’t experience fatigue or have biological needs and can constantly learn and process information at unimaginable speeds. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

AI 92

AI AI Computer Science Computer Science 92

AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. This process comes with intelligent diffing, throughput, and failure management. Reimbursement amounts and process are provided.

AWS 108

AWS Machine Learning Machine Learning ML 108

ODSC - Open Data Science

FEBRUARY 8, 2024

A data product may aim to automate a decision, or it may aim to assist a human decision-maker. The long-term vision is that there will be a fully automated system to prepare and serve meals that will delight and nourish the customer. The data scientists repeat this process for all of the categories they identified in Step 3.

AI 52

AI AI Data Science Data Scientist 52

AWS Machine Learning Blog

APRIL 7, 2023

Retailers can deliver more frictionless experiences on the go with natural language processing (NLP), real-time recommendation systems, and fraud detection. Even ground and aerial robotics can use ML to unlock safer, more autonomous operations. For a complete list, refer to Built-in Algorithms with pre-trained Model Table.

AWS 78

AWS Clustering ML ML 78