99-million-year-old bird fossil has been found preserved in amber and it's truly exquisite

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The big takeaway from all these research efforts is that scientists are hard at work trying to find ways of compressing and dividing the work of training to make it feasible on battery-operated devices with less memory and less processing power than workstations and servers. Also: How Apples AI advances could make or break the iPhone 16Recent work by Apple engineers suggests the company is looking to bring larger neural networks.

 Their goal was to train speech-recognition AI on mobile devices using the federated learning approach.including OpenAIs GPT-4.deteriorates as time passes since the last training cycle; phenomenon known as concept drift.

This training challenge takes place on a scale never before attempted. A team at Nanyang Technological University in Singapore this month used on-device learning to counter cyber threats by having each individual device train its own local version of an AI-based intrusion-detection system or IDS.

the cloud coordinates a bunch of client devices that fine-tune the LLM with local data.

 Also: AI will change software development in massive ways.the stablecoin sector should have all the legal and regulatory requirements in place before they get approved.

the UK and the US are two of the worlds leading digital asset destinations already looking at the stablecoin market.adjustments to regulatory approaches and implementing oversight standards will align various governments with the roadmap set out under the Financial Stability Board (FSB).

The regulatory focus on stablecoins follows efforts by governments to launch central bank digital currenciesA meeting involving finance chiefs from the worlds top 20 largest economies has called for more oversight over the stablecoin sector as part of a wider global regulatory framework.the policymakers felt there is more that can be done regarding the challenges facing the use of stablecoins.