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Thinking Machines Lab Launches DeepSeek-Inspired Inkling 975B Parameter Model

Thinking Machines Lab released Inkling on July 15 under the Apache 2.0 license after using Kimi K2.5 for early post-training data. Open weights let developers download and adapt the trained parameters ...
Unite.AI

Thinking Machines Lab Unveils Inkling, Its First Open-Weights Multimodal AI Model

Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...

Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...

Bridging the gap: Connecting math and AI for discovery

Some, however, find that bridging fields opens new realms of possibility. Henry Kvinge, who trained as a mathematician but ...

Thinking Machines Lab Drops Its First Model

Inkling, a 975-billion-parameter open source model, was trained to understand video and audio. It could help Thinking ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...