Unite.AI

NOVEMBER 14, 2023

Its advanced data analysis capabilities, customization options, and removal of usage caps make it a superior choice to its predecessors. The simplicity of user interfaces and the ability to generate code through straightforward commands like “Build me a website to do X” is revolutionizing the process.

Large Language Models 331

Large Language Models Software Engineer Computer Scientist ChatGPT 331

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis. This led to the theory and development of AI.

Data Science 200

Data Science Machine Learning Big Data Data Mining 200

IBM Journey to AI blog

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

Data Science 188

Data Science DevOps Machine Learning Data Scientist 188

Viso.ai

OCTOBER 17, 2024

John Hopfield is a physicist with contributions to machine learning and AI, Geoffrey Hinton, often considered the godfather of AI, is the computer scientist whom we can thank for the current advancements in AI. Both John Hopfield and Geoffrey Hinton conducted foundational research on artificial neural networks (ANNs).

Neural Network 52

Neural Network Deep Learning Machine Learning Computer Vision 52

Topbots

MARCH 2, 2023

This use of synthetic data as training data has many uses, including to make users anonymous. However, I think the more exciting discovery is explained by Daphne Koller, computer scientist, MacArthur Genius, and CEO of early-stage biomedicine company Insitro.

Generative AI 52

Generative AI Explainability Algorithm ML 52

Pickl AI

OCTOBER 2, 2024

Genomic Analysis is crucial for various applications, including personalised medicine, cancer research, genetic disorder diagnosis, and evolutionary biology. AI Techniques Used in Genomic Analysis AI encompasses a range of techniques that can be applied to genomic Data Analysis.

Neural Network 52

Neural Network Artificial Intelligence Artificial Intelligence Deep Learning 52

TheSequence

DECEMBER 13, 2023

He has previously built machine learning-powered applications for start-ups and enterprises in the domains of natural language processing, topological data analysis, and time series. You are the co-author of the Natural Language Processing with Transformers Book.

LLM 64

LLM Natural Language Processing Machine Learning Deep Learning 64