The five-year research was carried out by group of researchers at TAUCHI, the Tampere Unit for Computer-Human Interaction at Tampere University, Finland and Eastern Washington University, the United ...

Marketers today know that data-driven initiatives can have a more granular, strategic impact than “spray and pray” methods of outreach or simply following their gut instincts ever could. For many, the ...

As an entrepreneur who works with clients in a variety of sectors, I’ve found that one of their biggest issues is understanding and using data. Although companies collect a lot of information, it is ...

Experimental data is often not only highly dimensional, but also noisy and full of artefacts. This makes it difficult to interpret the data. Now a team has designed software that uses self-learning ...

The surge of wearable sensors is transforming the clinical trial experience for patients, sponsors, and research sites. Sensors can be worn by the patient 24/7 to capture physiology continuously, ...

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a collection of ...

Every measurement counts at the nanoscopic scale of modern semiconductor processes, but with each new process node the number of measurements and the need for accuracy escalate dramatically. Petabytes ...

Early insight. Timely support. Real student progress. Schools have no shortage of data, but making that data usable for timely Multi-Tiered System of Support (MTSS) decisions remains a major challenge ...