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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. AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. AI drug discovery is exploding.

AI 139
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An Exploratory Look at Vector Embeddings

Mlearning.ai

2014; Bojanowski et al., The repository includes embedding algorithms, such as Word2Vec, GloVe, and Latent Semantic Analysis (LSA), to use with their PIP loss implementation. As such, I’ve adapted and converted the simplest algorithm (LSA) and PIP loss implementations with PyTorch and guided comments for more flexibility.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. There are a wide variety of approaches for generative models, which must learn to model complex data sets (e.g., Let’s get started! natural images).

ML 132
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What is Generative Adversarial Network (GAN) in Deep Learning?

Pickl AI

Understanding the Basics of GANs Generative Adversarial Networks (GANs) are a class of Machine Learning models introduced by Ian Goodfellow in 2014. Overcoming these challenges requires careful model design, improved algorithms, and robust computational infrastructure.

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DeepMind

Dataconomy

Founded in 2010, it has made significant strides since its acquisition by Google in 2014, aiming to advance AI capabilities in diverse domains. Technology and methodology DeepMind’s approach revolves around sophisticated machine learning methods that enable AI to interact with its environment and learn from experience.