Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...

AI systems learn new tasks more effectively when internal self-talk helps keep goals clear and reuse past knowledge instead ...

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

Carbon Robotics' Large Plant Model will allow farmers to kill new types of weeds without having to retrain the machines.

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

An international research team reviewed agrivoltaic systems, highlighting challenges in design, crop performance, and PV efficiency, while mapping their global potential. They call for innovative ...

Unlike traditional assistants, AI girlfriend apps like Dream Companion are designed to support emotionally rich interactions ...

Choosing AI in 2026 is no longer about picking the most powerful model; it is about matching capabilities to tasks, risks, ...

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

Andromeda and GEM now determine how ads are selected, ranked, and sequenced across Meta. Here’s what changed and what drives ...