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Machine Learning Security: Undetectable Backdoors
Artificial Intelligence and Machine Learning are increasingly being used across a wide variety of industries and applications. In many cases, the results achieved are amazing or a quantum jump over the capabilities of a previous generation of software. But the…
Machine Learning: Stochastic Parrots that Mimic Social Biases
Machine Learning is based on the processing of enormous amounts of data. That processing takes time. A common trick to speed up machine learning and still achieve good results is to use something called ‘transfer learning’. What this does is,…
Artificial Intelligence: The Race to Build Mammoth Natural Language Models
OpenAI wowed the AI community with its release of GPT-3, a language model that used 175 billion parameters to tune responses for writing short essays, computer code, and dialogue. 175 billion is a lot and at the time seemed like…
Machine Learning: Using MLOps to Achieve AI Best Practices
Businesses recognize the potential of Machine Learning, but many aren’t yet prepared to use the technology. The solution is to train and hire engineers who skilled in Machine Learning. This new category of AI-trained engineers are being called MLOps (Machine…
Liquid Machine Learning: Resilience When Encountering the Unexpected
Machine Learning (ML) algorithms ingest massive amounts of data and are able to identify and pick out patterns that recur in the data. Once trained, when the algorithm is able to identify similar patterns when presented with a new data…