In my current position, I work to optimize and parallelize codes that deal with genomic data, e.g., DNA, RNA, proteins, etc.
Macbeth may have 99 problems, but parallel programming ain’t one of them.
Within the last five years, the field of Natural User Interfaces (NUIs) has been revolutionized by the influx of new devices onto the market. These devices allow users to interact directly with a user interface using gestures or speech, for example. This article looks at the extent to which this type of control is both intuitive and comfortable.
The Hack the Senses hackathon was themed around perception and
The goal of the Kaggle* Competition sponsored by Intel and MobileODT* was to use artificial intelligence to improve the precision and accuracy of cervical cancer screening. This case study follows the process used by the third-place winning team, GRXJ. They pooled their respective skill sets to create an algorithm that would improve this life-saving diagnostic procedure.
This paper is based on the Tianchi Healthcare AI Competition, an online challenge for automatically detecting lung nodules from computed tomography (CT) scans, cosponsored by Alibaba Cloud, Intel, and LinkDoc. In October 2017, this competition successfully concluded after an intense seven-month competition among 2,887 teams across the globe.
Doctor Hazel, a skin cancer screening service powered by artificial intelligence (AI) that operates in real time, relies on an extensive library of images to distinguish between skin cancer and benign lesions, making it easier for people to seek professional medical advice.
Follow an Intel® Student Ambassador who uses machine learning and AI to revolutionize medical diagnostics. These diagnostic techniques used classify the characteristics of epilepsy and Alzheimer's by analyzing how the brain is connected.
This article, Machine Learning and Mammography, shows how existing deep learning technologies can be utilized to train artificial intelligence (AI) to be able to detect invasive ductal carcinoma (IDC)1 (breast cancer) in unlabeled histology images.