Researchers combined synthetic DNA with a semiconductor to create an ultra-low-power memory device capable of storing and processing information in the same place. The bio-hybrid technology could eventually help make AI systems and next-generation computers far more energy efficient.
Researchers in the Riccio College of Engineering at the University of Massachusetts Amherst have demonstrated that redesigning both hardware and algorithms can make AI applications on edge devices more efficient. As proof of concept, their system achieved 95.24% accuracy in language identification while reducing computing resources by 90%—the highest reported accuracy from a system of …
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Krea2, H3, MiniMax Music, (Starlight Topaz) pass and Premiere. Fucking RAD. submitted by /u/-becausereasons- [link] [comments]
Nearly a decade after its debut, Samsung’s Galaxy Fold finally comes into its own.
Me again as a raptor at home. Minimax H3 ref2va, default workflow with 3 inputs: my video, a reference image of a raptor and a reference image of my house at night. This time I am testing style transfer (cinematic night style), head tracking, interaction with objects (doors and toys), longer scenes and sound FX. …
This affordable electric BMX delighted my entire family, even if its range, ride comfort, and actual BMX abilities are limited.
My wife did this Cunk parody with a 3060 12gb and 32gb of system ram. Minimax is incredble! edit: youtube link to see how long before they remove it https://youtu.be/V7XhjMVHSCE?si=3SyDbJBmS0KfzcQd submitted by /u/Hopeful-Junket-7990 [link] [comments]
In this article, you will learn what latent spaces are and how they serve three distinct roles — descriptive, generative, and predictive — across a…
As concerns around data privacy in machine learning grow, the ability to unlearn, or remove, specific data points from trained models becomes increasingly important. While state of the art unlearning methods have emerged in response, they typically treat all points in the forget set equally. In this work, we challenge this approach by asking whether …
Read more “When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs”
In multi-turn reinforcement learning (RL), your custom reward function decides what the model actually learns. A subtly wrong reward can quietly teach the wrong thing while every training curve looks healthy. Designing a reward that holds up over multi-turn, agentic tasks is one of the hardest parts of customizing Amazon Nova models. For multi-turn training, …
Read more “Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge”