Thinking Machines open sources first multimodal language model, Inkling, focused on low cost and 'resistance to censorship'

An Apache 2.0 designation makes Inkling a true open-source foundation. This gives developers the legal freedom to download, ...
Crypto Briefing

Thinking Machines partners with Bridgewater to build AI model that cuts errors by nearly 30%

When the world’s largest hedge fund decides its analysts are spending too much time on document busywork, it doesn’t just buy a ChatGPT subscription. Bridgewater Associates teamed up with Thinking ...
SiliconANGLE

CarbonSix raises $40M to deliver intelligent learning machines to the factory floor

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 million in early funding to change how manufacturing works. The company focuses ...
Ars Technica

T-Mobile moving tens of thousands of virtual machines off VMware amid lawsuit

T-Mobile is asking a New York court to rule that Broadcom was contractually obligated to continue supporting its VMware perpetual licenses. In its complaint, T-Mobile said it has tens of thousands of ...
Miami University

ISA professor discusses machine learning use cases and business applications

Waldyn Martinez, associate professor of Information Systems and Analytics, shares how machine learning is still very relevant today as many business applications continue to happen with machine ...
IEEE

Optimal Voltage-Vector-Sequence-Based Model Predictive Control With Minimum Current Harmonic for Low-Switching-Frequency PMSM Drives

Abstract: This article proposes an optimal voltage-vector-sequence-based model predictive control (MPC) method for permanent magnet synchronous motor (PMSM) drives that exploits the properties of ...
IEEE

FASTEN: Fuzzy Neural Support Vector Machine for Classification

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
Journal of Medical Internet Research

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...