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Machine Learning at scale: first impressions of Kubeflow

OpenCredo

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. This typically requires retraining or otherwise updating the model with the fresh data. Monitoring. Why this blog post?

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Cybersecurity Snapshot: Cyber Agencies Offer Secure AI Tips, while Stanford Issues In-Depth AI Trends Analysis, Including of AI Security

Tenable

1 - Multinational cyber agencies issue best practices for secure AI deployment Looking for best practices on how to securely deploy artificial intelligence (AI) systems? Researchers are discovering newer, subtler ways of maliciously manipulating LLMs, unearthing more complex vulnerabilities in these systems. and the U.S.

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Radar Trends to Watch: June 2022

O'Reilly Media - Ideas

Facebook/Meta is also releasing an open source large language model, including the model’s training log, which records in detail the work required to train it. Artificial Intelligence. A new wave of startups is trying techniques such as reinforcement learning to train AVs to drive safely.

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Three surveys of AI adoption reveal key advice from more mature practices

O'Reilly Media - Ideas

An overview of emerging trends, known hurdles, and best practices in artificial intelligence. That was the third of three industry surveys conducted in 2018 to probe trends in artificial intelligence (AI), big data, and cloud adoption. Moreover, few schools have resources to act on that data in aggregate.

Survey 94
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Automating the Automators: Shift Change in the Robot Factory

O'Reilly Media - Ideas

You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production. You might say that the outcome of this exercise is a performant predictive model.

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The Good and the Bad of Firebase Backend Services

Altexsoft

These are available for Python, Node.js , Golang, Ruby, PHP, Java ,NET , and C#. Cloud Storage. Okay Google, another database? Cloud Storage is basically a Google Cloud for in-app user generated content, like photo, audio, or video files. Machine learning capabilities. Not exactly.

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The Good and the Bad of Firebase Backend Services

Altexsoft

These are available for Python, Node.js , Golang, Ruby, PHP, Java ,NET , and C#. Cloud Storage. Okay Google, another database? Cloud Storage is basically a Google Cloud for in-app user generated content, like photo, audio, or video files. Machine learning capabilities. Not exactly.