The AI Hype Cycle Is Distracting Companies
For most ML projects, the term “AI” goes entirely too far — it alludes to human-level capabilities. That’s because for most ML projects, the buzzword...
What Is ChatGPT Doing … and Why Does It Work?
But it’s a representation that’s readily usable by the neural net. And then there’s the representation in the neural net of ChatGPT. But it’s a...
About LayerNorm Variants in the Original Transformer Paper, and Some Other Interesting Historical Tidbits About LLMs
For instance, in 1991, which is about two-and-a-half decades before the original transformer paper above ("Attention Is All You Need"), Juergen Schmidhuber proposed an alternative...
Image Datapalooza 2023
The event will bring together an interdisciplinary group around a shared interest of using AI/ML to extract scientific knowledge from image and video data, including...
Australia asks if ‘high-risk’ AI should be banned in surprise consultation
https://t.co/Gz11JCXlsG — Australia's Chief Scientist (@ScienceChiefAu) June 1, 2023
Highlighted in the paper was the “positive” AI use in the medical, engineering and legal industries but...
NVIDIA Announces DGX GH200 AI Supercomputer
Fully Integrated and Purpose-Built for Giant Models
DGX GH200 supercomputers include NVIDIA software to provide a turnkey, full-stack solution for the largest AI and data analytics...
Supply chain attack targets PyTorch Machine Learning Framework
A supply chain attack has been discovered affecting the PyTorch Machine Learning Framework. The attack involved adding a malicious dependency to the framework, which...
Deep learning shaping the metaverse
In 2023, we can expect to see deep learning and AI technologies power and scale customer self-service in the metaverse. Businesses will expand the use...
The Generalization Capabilities of Large Neural Networks
We have seen a transformation over the years away from training large models entirely from scratch, and toward methods that utilize finetuning or few-shot learning....
The Fallacies of AI: Why Artificial Intelligence is Harder Than We Think
Melanie Mitchell, a computer scientist and author at the Santa Fe Institute in New Mexico, believes that artificial intelligence is harder than we think because...