Course Type: Elective Specialization: Natural Language Processing: Deep Learning Meets Linguistics Instructors: Dr. Katharina von der Wense Prior knowledge needed: Students should consider their ...

Deep learning processing is becoming possible across various industries because we have access to large amounts of compute power and processing units, such as with technologies like cloud and GPUs.

Deep learning-based software is already being integrated into virtual worlds; some examples include autonomously driving chatbots and other forms of natural language processing to ensure seamless ...

In boardrooms and innovation hubs worldwide, artificial intelligence (AI) is no longer a distant promise, it’s a current ...

The United States is a driving force behind TPU market expansion, backed by robust cloud infrastructure and leadership from Google, AWS, and Microsoft. In 2025, Congress is considering $32billion in ...

Google is one of the pioneers of artificial intelligence (AI). In this article we look at the amazing ways Google is using the most cutting edge AI – deep learning – in many of its operations ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

IBM is cutting deep-learning processing times from days down to hours By Brad Jones Published August 8, 2017 Save Deep ...

In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job.

In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job.

Deep learning-based processing and reconstruction of compromised biophotonic image data Peer-Reviewed Publication. Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And ...