First synthetic protein motor moves along DNA in controlled, programmable steps

Researchers from UNSW Sydney have built the first artificial protein motor capable of taking controlled, directional steps ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Center for Strategic and International Studies

What to Know About Chinese AI Models

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Stop Measuring AI By Parameter Count. Here’s What Actually Matters

Two systems with identical parameter counts can behave dramatically differently depending on how they are built.
NDTV Profit on MSN

China's Meituan trains 'country's largest' 1.6-trillion-parameter AI model without Nvidia chips

Meituan said LongCat-2.0 outperformed Google's older Gemini 3.1 Pro on several coding and agentic benchmarks, though it ...
GitHub

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

If you find our work useful in your research, please consider citing: @article{qi2017pointnetplusplus, title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, ...
IEEE

Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow

Abstract: We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow machine intelligence platform. This tool helps users understand complex machine learning architectures by ...