Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

In this four-year PhD project, you will develop real-time machine-learning systems for the analysis of fluorescence-guided endoscopic videos. Your primary goal is to design and evaluate machine ...

Data contracts are foundational to properly designed and well behaved data pipelines. Kafka and Flink provide the key ...

In this episode of Tax Notes Talk, Juan Manuel Vázquez of Loyens & Loeff discusses the evolving international tax agenda, ...

Barrington’s route to Google wasn’t straightforward. Originally from Dublin, he moved to the US in the early 2000s for a PhD ...

Precision Care Companion (PCC) enhances biomarker testing and precision therapy adoption in community oncology, uniting ...

Metal-organic framework-based nanospike coatings mechanically puncture bacteria, preventing biofilms without antibiotics or ...

A close relationship to industry and an award-winning incubation lab have created a start-up ecosystem centred on ...

Mycosis fungoides is the most common subtype, making up the vast majority of CTCL cases. While early-stage disease has an estimated five-year survival rate of 88%, it remains a difficult-to-manage ...

The CAR T Vision Steering Committee has set an ambitious goal: to double the proportion of eligible patients treated with CAR T by 2030. 2 Reimbursement challenges stand out as an area where ...

Texas Governor Greg Abbott's recent designation of the Council on American-Islamic Relations (CAIR) and the Muslim ...

Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...