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Can AI solve your problem?

Three easy heuristics for recognising AI eligible project ideasThe AI then makes a guess before receiving the true answer, and over time it's hoped that the AI will learn the difference between cats and...

Treefera raises $2.2M to unravel the carbon credits credibility problem with AI

Earlier this 12 months, Disney, Shell, Gucci and a number of other other big corporations discovered that they'd purchased carbon credits that were essentially worthless. A collaborative investigation alleged that Verra, the world’s largest...

Harnessing the Power of AI and Machine Learning to Solve Global Financial Problems.

Unmasking Deception with Intelligent Algorithms Financial fraud is a pervasive problem that drains resources and undermines trust. By deploying AI and ML algorithms, financial institutions can swiftly detect fraudulent activities by analyzing large...

An AI challenge only humans can solve

The Dark Ages weren't entirely dark. Advances in agriculture and constructing technology...

How do you solve an issue like out-of-control AI? 

Last week Google revealed it goes all in on generative AI. At its annual I/O conference, the corporate announced it plans to embed AI tools into virtually all of its products, from Google Docs...

Apple “AI potential is great, but there are a lot of things to unravel”

Apple has been cautious about adopting artificial intelligence (AI). Accordingly, it's analyzed that it is going to take time to launch products comparable to 'Chat GPT' or 'Bard'. Bloomberg introduced that on the fifth...

improve the standard of Large Language Models and solve the alignment problem

There are 2 foremost aspects holding back model quality:Just throwing massive datasets of synthetically generated or scraped content on the training process and hoping for the very best.The alignment of the models to make...

improve the standard of Large Language Models and solve the alignment problem

There are 2 foremost aspects holding back model quality:Just throwing massive datasets of synthetically generated or scraped content on the training process and hoping for the perfect.The alignment of the models to make sure...

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