Editor’s note: Amazon’s fall Prime Day event kicks off on October 7th; however, if you want to shop ahead of the two-day sale, we’ve rounded up the best early Prime Day deals you can already get. Even with the ability…
Developer Ali Tanis has released the first game for iPhones and iPads that’s played using Apple’s AirPods as a wearable motion controller. The RidePods – Race with Head gameplay is relatively basic – you’re just steering a motorcycle through oncoming…
We forge ahead with scientific quests,but even zealous efforts hit a walltrying to make what nature most detests:nothing at all.It seems like such a little thing to do—removing every molecule. We findthat though we displace almost all, a fewremain behind.It…
Anthropic’s new Claude Sonnet 4.5 continues the trend in large language model development: better coding and the ability to tackle tasks for much longer stretches. The article Claude Sonnet 4.5 is designed to tackle coding tasks for over 30 hours…
A guide to fast video data preprocessing for machine learning The post Preparing Video Data for Deep Learning: Introducing Vid Prepper appeared first on Towards Data Science.
oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast local SSDs. The project targets offline, single-GPU workloads and explicitly avoids…
This is a “step forward in the transition of European launch systems toward full reusability.”
The Lenovo Legion 7i Gen 10 laptop comes with a gorgeous HDR-ready OLED display, making it great for more than gaming.
The counterintuitive approach to AI optimization that’s changing how we deploy models The post I Made My AI Model 84% Smaller and It Got Better, Not Worse appeared first on Towards Data Science.
Anthropic’s latest AI model spent 30 hours running by itself to code a chat app akin to Slack or Teams. It spat out about 11,000 lines of code, according to Anthropic, and it only stopped running when it had completed…
