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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% from 2019 to 2025, reaching up to an estimated evaluation of USD 96.7 The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8%

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% from 2019 to 2025, reaching up to an estimated evaluation of USD 96.7 The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8%

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Snorkel AI scores $35M Series B to automate data labeling in machine learning

TechCrunch

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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Hippocratic is building a large language model for healthcare

TechCrunch

” The tranche, co-led by General Catalyst and Andreessen Horowitz, is a big vote of confidence in Hippocratic’s technology, a text-generating model tuned specifically for healthcare applications. Hippocratic is building a large language model for healthcare by Kyle Wiggers originally published on TechCrunch

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The Future of Machine Learning in Cybersecurity

CIO

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via Machine Learning.

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Traceable AI nabs $60M to secure app APIs using machine learning

TechCrunch

Businesses need machine learning here. You can no longer easily buy or hire security people, so you need to solve these vulnerabilities via technology.” ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm.