Graph-based recommendation system with Neptune ML: An illustration on social network link prediction challenges

Favorite Recommendation systems are one of the most widely adopted machine learning (ML) technologies in real-world applications, ranging from social networks to ecommerce platforms. Users of many online systems rely on recommendation systems to make new friendships, discover new music according to suggested music lists, or even make ecommerce purchase

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Shared by AWS Machine Learning January 13, 2022

Advancing genomics to better understand and treat disease

Favorite Genome sequencing can help us better understand, diagnose and treat disease. For example, healthcare providers are increasingly using genome sequencing to diagnose rare genetic diseases, such as elevated risk for breast cancer or pulmonary arterial hypertension, which are estimated to affect roughly 8% of the population. At Google Health,

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Shared by Google AI Technology January 13, 2022

How ReliaQuest uses Amazon SageMaker to accelerate its AI innovation by 35x 

Favorite Cybersecurity continues to be a top concern for enterprises. Yet the constantly evolving threat landscape that they face makes it harder than ever to be confident in their cybersecurity protections. To address this, ReliaQuest built GreyMatter, an Open XDR-as-a-Service platform that brings together telemetry from any security and business solution, whether on-premises or in one

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Shared by AWS Machine Learning January 10, 2022

How Abigail Annkah is using AI to improve maps in Africa

Favorite As a university student, Abigail Annkah fell in love with mathematics, which soon led to her interest in artificial intelligence. After graduating from the African Institute for Mathematical Sciences, Abigail made it through the competitive process to become an AI resident at Google Research, Accra. After her residency, Google

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Shared by Google AI Technology January 6, 2022