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Construction tech startups are poised to shake up a $1.3-trillion-dollar industry

TechCrunch

In the wake of COVID-19 this spring, construction sites across the nation emptied out alongside neighboring restaurants, retail stores, offices and other commercial establishments. Amidst the chaos, construction firms faced an existential question: How will they survive? Construction is a massive, $1.3

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Of Muffins and Machine Learning Models

Cloudera

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning - AI

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards.

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Hate being more productive? Ignore AI agents

CIO

That’s because we’d absolutely expect a model trained on (say) 10,000 sympathy cards or 1,000 eulogies to come across as sensitive, consoling, and well-spoken, hitting the right tone better than most of us could do on the fly. How can it assist legal teams with contracts? How can it help HR recruit, hire, and develop people ?

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10 emerging innovations that could redefine IT

CIO

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. The main constituency: Any developer who will happily trade a bit of precision for a big savings in electricity.

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Artificial Intelligence in the Cyber Security Arena

TechFides Blog

So for all the good that can potentially come from AI capabilities, the bad actors amongst us are going to steer these new tools towards nefarious ends, because, well…that’s what bad people do. Algorithmic Bias: AI algorithms are only as good as the data they’re trained on. Cyber security is no exception.