From fear to fluency: Why empathy is the missing ingredient in AI rollouts
Empathy and trust are not optional. They are essential for scaling change and encouraging innovation, particularly in this age of AI.Read More
What Satellite Images Reveal About the US Bombing of Iran’s Nuclear Sites
The US concentrated its attack on Fordow, an enrichment plant built hundreds of feet underground. Aerial photos give important clues about what damage the “bunker-buster” bombs may have caused.
Half of today’s jobs could vanish—Here’s how smart countries are future-proofing workers
AI is revolutionizing the job landscape, prompting nations worldwide to prepare their workforces for dramatic changes. A University of Georgia study evaluated 50 countries’ national AI strategies and found significant differences in how governments prioritize education and workforce training. While many jobs could disappear in the coming decades, new careers requiring advanced AI skills are …
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Spline Path Control v2 – Control the motion of anything without extra prompting! Free and Open Source
Here’s v2 of a project I started a few days ago. This will probably be the first and last big update I’ll do for now. Majority of this project was made using AI (which is why I was able to make v1 in 1 day, and v2 in 3 days). Spline Path Control is a …
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
We present STARFlow, a scalable generative model based on normalizing flows that achieves strong performance in high-resolution image synthesis. The core of STARFlow is Transformer Autoregressive Flow (TARFlow), which combines the expressive power of normalizing flows with the structured modeling capabilities of Autoregressive Transformers. We first establish the theoretical universality of TARFlow for modeling continuous …
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Cloud quantum computing: A trillion-dollar opportunity with dangerous hidden risks
GUEST: Quantum computing (QC) brings with it a mix of groundbreaking possibilities and significant risks. Major tech players like IBM, Google, Microsoft and Amazon have already rolled out commercial QC cloud services, while specialized firms like Quantinuum and PsiQuantum have quickly achieved unicorn status. Experts predict that the global QC mark…Read More
Truth Social Crashes as Trump Live-Posts Iran Bombing
The social network started experiencing global outages within minutes of Donald Trump posting details of a US military strike on Iran.
How are these hyper-realistic celebrity mashup photos created?
What models or workflows are people using to generate these? submitted by /u/danikcara [link] [comments]
Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models
Ever felt like trying to find a needle in a haystack? That’s part of the process of building and optimizing machine learning models, particularly complex ones like ensembles and neural networks, where several hyperparameters need to be manually set by us before training them.
Distillation Scaling Laws
We propose a distillation scaling law that estimates distilled model performance based on a compute budget and its allocation between the student and teacher. Our findings mitigate the risks associated with large-scale distillation by enabling compute-optimal allocation for both the teacher and student to maximize student performance. We provide compute-optimal distillation recipes for two key …