A standalone collection of utilities to help Ignition users. Features various tools to help work with Ignition's custom data export formats.

Alternatively, people with less pharmacy experience used fewer causal arguments to form trustworthiness beliefs. These people instead relied on information from external sources (e.g., physicians ...

It's only been a week since Chinese company DeepSeek launched its open-weights R1 reasoning model, which is reportedly competitive with OpenAI's state-of-the-art o1 models despite being trained ...

DeepSeek R1, the reasoning model of China’s AI startup which claims to offer performance on par with industry's leading models at a fraction of the cost, is now available on the US search engine ...

Artificial Intelligence (AI) transforms how we solve problems and make decisions. With the introduction of reasoning models, AI systems have progressed beyond merely executing instructions to thinking ...

Chinese AI lab DeepSeek has released an open version of DeepSeek-R1, its so-called reasoning model, that it claims performs as well as OpenAI’s o1 on certain AI benchmarks. R1 is available from ...

Katherine Fung is a Newsweek reporter based in New York City. Her focus is reporting on U.S. and world politics. She has covered the Republican primary elections and the American education system ...

The DeepSeek R1 developers relied mostly on Reinforcement Learning (RL) to improve the AI’s reasoning abilities. This training method uses a reward system to provide feedback to the AI ...

Chinese AI lab DeepSeek recently released AI models that match or exceed some of Silicon Valley's top offerings. DeepSeek uses an approach called test-time or inference-time compute, which slices ...

But in at least one case, he is encountering an unforeseen obstacle: his previous arguments in court. On Monday, the board that awards the Pulitzer Prizes — which Mr. Trump sued in Florida in ...

“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...