LongCat 2.0 is Meituan's 1.6T-parameter MoE model with a native 1M-token context, trained entirely on domestic AI ASIC ...

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path. To overcome this brute-force ...

We nod at it, we put it on slides, and we move on. But the goalposts keep moving. Things that used to live comfortably at the ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Running a one-person business means doing the job of an entire company by yourself. You're closing a deal in the morning and debugging the product by lunchtime. Every hour spent on admin is an hour ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

Automating your accounts payable can save you time and help you avoid manual errors. Here’s how you can easily automate your ...

A quiet transformation is unfolding in the way scientists design the materials that power modern technology. From faster ...

Employees racked up AI bills, and companies are backpedaling on tokenmaxxing. Now, it's all about routing prompts to the most ...

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

High-entropy alloys (HEAs) are metallurgy’s version of having your cake and eating it too, combining multiple elements to ...

Companies invest in smart manufacturing technology, the technology works, yet the operational results still disappoint.