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. Hopfield’s work laid the foundation for further advancements in neural networks, especially in deep learning.

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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.

Data Science 200

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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

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Pickl AI

OCTOBER 2, 2024

Summary: Artificial Intelligence (AI) is revolutionising Genomic Analysis by enhancing accuracy, efficiency, and data integration. Techniques such as Machine Learning and Deep Learning enable better variant interpretation, disease prediction, and personalised medicine.

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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.

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Viso.ai

MARCH 26, 2024

Initially, AI’s role in finance was limited to basic computational tasks. With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. Tracking facial biometrics with computer vision on Viso Suite No.

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TheSequence

SEPTEMBER 11, 2024

Bio: Lewis Tunstall is a Machine Learning Engineer in the research team at Hugging Face and is the co-author of the bestseller “NLP with Transformers” book. His current work focuses on building tools and recipes to align language models with human and AI preferences through techniques like reinforcement learning.

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