Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical calculations and ...

Resources about word vectors, aka word embeddings, and distributed representations for words. Word vectors are numeric representations of words where similar words have similar vectors. Word vectors ...

Explore our many products & services, including our 24/7 online shop; interactive trainings & workshops; the bionic learning network; or shop for 1,000's of automation components with the STARS ...

The way organismic agents come to know the world, and the way algorithms solve problems, are fundamentally different. The most sensible course of action for an organism does not simply follow from ...

Alan Turing was born in London in 1912, and showed intellectual promise from a young age. Between the ages of six and nine, he attended St. Michael’s Primary School, where the headmistress noted he ...

In the blog post Demystifying AI at Scale, we gave a quick overview of how Microsoft and an increasing number of our customers are leveraging the trend of large-scale AI models to support a variety of ...

A video series with Sinead Bovell built around the questions everyone’s asking about AI. With expert voices from across Microsoft, we break down the tension and promise of this rapidly changing ...

The question of whether artificial beings or machines could become self-aware or conscious has been a philosophical question for centuries. The main problem is that self-awareness cannot be observed ...