If your organization is using artificial intelligence (AI) and machine learning (ML) on any kind of widespread basis, chances are good that you have some deep learning projects in the works.

You hear a lot of different terms bandied about these days when it comes to new data processing techniques. One person says they’re using machine learning, while another calls it artificial ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning ... the latest GPU and TPU software. Jupyter Lab, the latest web-based interface for Project ...

Artificial Intelligence (AI), Machine Learning, and Deep Learning are all topics of ... O’Reilly recently published their latest study, The State of Machine Learning Adoption in the Enterprise.

Deep learning will only continue ... TensorFlow, a popular Python-based machine learning and artificial intelligence project developed by Google has dropped support for YAML, to patch a critical ...

Ng says the project has left him enough time to start two other “cool” new projects ... from work on deep learning at Stanford and Google’s X Labs that helped prove machine learning could ...

Understanding the differences between AI, machine learning, and deep learning Your email has ... ‘Greatest Designer’ & Apple Icon Jony Ive New Google Search AI Mode is ‘Total Reimagining ...

Deep learning ... easy project. It took many doctoral-level researchers months of work on models, and thousands of GPU-weeks for training the models. It also spurred Google to create a new kind ...

TensorFlow bundles together a slew of machine learning and deep learning models and algorithms ... pre-trained models available for use in your projects. Code from the TensorFlow Model Garden ...

By utilizing multiple forms of machine learning systems, models, neural networks and algorithms, deep learning opens many new doors for analysis and problem solving. “Deep learning can be ...