Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

In security, protecting people and assets isn’t optional—it’s mission critical. That’s why it’s important to be deliberate about how and when to integrate AI, responsibly integrating and relentlessly ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Belarusian President Aleksandr Lukashenko went on a major foreign trip on 26 November. The itinerary covers Southeast Asia, ...

AI chatbots are rapidly becoming a core part of digital operations, changing how companies handle support, sales, and internal processes. Most users now rate their chatbot experience positively, as ...

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Let’s talk about SOFAI, the multi-agent architecture you helped develop for AI decision-making systems. SOFAI stands for “Slow and Fast AI” and takes its inspiration from psychologist Daniel ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

Agentic AI – autonomous systems capable of independent decision-making – is reshaping healthcare and life sciences. From streamlining administrative workflows to complex applications like sales force ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...