The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
TechCrunch

The promise and perils of synthetic data

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...
TechCrunch

Meta to start training its AI models on public content in the EU

Meta announced on Monday that it’s going to train its AI models on public content, such as posts and comments on Facebook and Instagram, in the EU after previously pausing its plans to do so in ...
Dark Reading

Intel's Secure Data Tunnel Moves AI Training Models to Data Sources

Intel's Tiber Secure Federated AI service secures artificial intelligence (AI) training by using hardware and software mechanisms to establish a secure tunnel for data. Typically, organizations have ...
Wired

These Startups Are Building Advanced AI Models Without Data Centers

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...
Geeky Gadgets

Unsloth : The Secret Weapon for Faster Machine Learning Models

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
CoinTelegraph

AI needs better human data, not bigger models

AI’s future doesn’t depend on ever-larger models but on better, human-curated data. AI risks bias, hallucinations and irrelevance without expert oversight and high-quality training sets. AI is a paper ...