Workflow automation promises substantial productivity gains in everyday document-related tasks. While prior agentic systems can execute isolated instructions, t...
Spiking Neural Networks (SNNs) offer a promising and energy-efficient alternative to conventional neural networks, thanks to their sparse binary activation. How...
Hallucinations are a key concern when creating applications that rely on Foundation models (FMs). Understanding where and how these subtle failures occur in an ...
Modern GPU software stacks demand developers who can anticipate performance bottlenecks before ever launching a kernel; misjudging floating-point workloads upst...
IT teams are stuck between wanting to implement AI solutions across their organizations and dealing with the messy reality of increasingly complex infrastructur...
Parameter-efficient fine-tuning (PEFT) provides a scalable alternative to full-model adaptation by updating only a small subset of parameters in large pre-train...
The post AI in 2026: The Tale of Two AIs appeared first on Sequoia Capital....
Article URL: https://jonready.com/blog/posts/everyone-in-seattle-hates-ai.html Comments URL: https://news.ycombinator.com/item?id=46138952 Points: 20 Comments:...
Micron is retiring the Crucial brand, marking the end of its line of budget-friendly solid-state drives SSDs and RAM kits, as reported earlier by VideoCardz. In...
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions....
Normalizing Flows (NFs) learn invertible mappings between the data and a Gaussian distribution. Prior works usually suffer from two limitations. First, they add...
We introduce the 'single-life' learning paradigm, where we train a distinct vision model exclusively on egocentric videos captured by one individual. We leverag...
