We Are Numbed to the Harm of Digital InsultsNews
From online forums to community groups, research and experience shows people are more willing to insult and use menacing language online than in person, especially when there’s the protection of anonymity behind a computer. New research indicates that people react less strongly to malicious speech on digital platforms and see the victims as less “harmed” than if the words were said directly to a person.
AI Program Learns to Draw CaricaturesNews
Automating caricatures poses challenges due to the amount of intricate details and shapes involved and level of professional skill required. A team of computer scientists have developed an innovative deep learning-based approach to automatically generate the caricature of a given portrait
efficiently and realistically.
Making AI Less BiasedNews
With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it's never been more important to look at how they arrive at decisions. A new approach out of MIT demonstrates that the main culprit is not just the algorithms themselves, but how the data itself is collected.
Upon implementing electronic medical record-based interventions, Boston Medical Center reduced unnecessary diagnostic testing and increased the use of postoperative order sets, two markers of providing high-value medical care.
MIT researchers have developed a cryptographic system that could help neural networks identify promising drug candidates in massive pharmacological datasets, while keeping the data private. Secure computation done at such a massive scale could enable broad pooling of sensitive pharmacological data for predictive drug discovery.
The architecture of each person’s brain is unique, and differences may influence how quickly people can complete various cognitive tasks.o learn more, scientists are developing a new tool — computational models of the brain — to simulate how the structure of the brain may impact brain activity and, ultimately, human behavior.READ MORE
Based on an analysis of data leakages and opportunities to prevent the potential misuse of genetic information, researchers have developed a new file format for functional genomics data that enables data sharing while protecting the personal information of research participants.
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
A move to digitally scan 100% of slides by Leeds Teaching Hospitals NHS Trust Pathology Lab has been hailed as a crucial step to faster and better diagnosis of cancer.READ MORE
Adaptive Designs in Clinical Trials conference 2019
Apr 01 - Apr 02, 2019
International Conference on Cell and Structural biology
Jul 15 - Jul 16, 2019