Remove 2021 Remove Artificial Intelligence Remove Supervised Learning
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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

Kin+Carta (LON:KCT) in 2021) Cameron brings a wealth of hands-of experience in leading teams to deploy solutions that uniquely fit the technology and culture of his clients. Suman Debnath, Principal AI/ML Advocate at Amazon Web Services Suman Debnath is a Principal Machine Learning Advocate at Amazon Web Services.

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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

Kin+Carta (LON:KCT) in 2021) Cameron brings a wealth of hands-of experience in leading teams to deploy solutions that uniquely fit the technology and culture of his clients. Suman Debnath, Principal AI/ML Advocate at Amazon Web Services Suman Debnath is a Principal Machine Learning Advocate at Amazon Web Services.

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Meet the winners of the Video Similarity Challenge!

DrivenData Labs

Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions. His research interest is deep metric learning and computer vision.

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. In 2021, 13 AI-derived biologics reached the clinical stage, with their therapy areas including COVID-19, oncology, and neurology. AI drug discovery is exploding.

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What Is a Transformer Model?

Hacker News

They’re driving a wave of advances in machine learning some have dubbed transformer AI. Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. Vaswani imagines a future where self-learning, attention-powered transformers approach the holy grail of AI.

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Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data

AWS Machine Learning Blog

The final phase improved on the results of HEEC and PORPOISE—both of which have been trained in a supervised fashion—using a foundation model trained in a self-supervised manner, namely Hierarchical Image Pyramid Transformer (HIPT) ( Chen et al., CLAM extracts features from image patches of size 256×256 using a pre-trained ResNet50.

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Foundation models: a guide

Snorkel AI

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning?