Month: October 2020

Perceptive to Predictive: How Machine Learning can save lives – Express Computer

Read Article By Amit Singh, Co-Founder, Yitsol Technology IncAs the era of COVID-19 persists, healthcare systems are facing a daunting range of challenges. Healthcare faculties thrive for a sustainable emergency management framework to look beyond COVID-19 and future contingency. The scientific perception of COVID-19 has been ceaselessly expanding since its outbreak. Worldwide contamination and disease…

Royal Navy and US Navy evolve joint AI and ML work

The Royal Navy and the US Navy are working on ways to establish links between their digital delivery teams, test methods for international collaboration and develop deeper technical collaboration around artificial intelligence (AI) and machine learning (ML). The work, which started in August 2020, is part of a wider initiative to establish better technology cooperations…

The Next Generation Of Artificial Intelligence (Part 2)

Deep learning pioneer Yoshua Bengio has provocative ideas about the future of AI. Maryse Boyce, IEEE Spectrum For the first part of this article series, see here. The field of artificial intelligence moves fast. It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in…

Machine Learning Predicts Atrial Fibrillation Hospital Readmissions – HealthITAnalytics.com

By Jessica Kent October 30, 2020 – A machine learning model was able to predict 90-day hospital readmissions with 85 percent accuracy, according to a study published in Health Services Research and Managerial Epidemiology. Atrial fibrillation (AF) is a common cardiac arrythmia, causing symptoms like shortness of breath and palpitations, as well as an increase…

Responsible AI/ML Alleviates Technological Risks and Security Concerns – Analytics Insight

Artificial Intelligence (AI) and Machine Learning (ML) is transforming industries and solving important and real-world challenges at a scale. The technology is maturing rapidly with seemingly limitless applications. These vast openings carry with it a deep responsibility to build AI that works for everyone. AI applications have demonstrated its ability to automate daily works while also augmenting human…

[Tech30] How Taskmonk is helping AI/ML enterprises optimise human efforts and control data labelling budget – YourStory

Building successful AI models require massive amounts of labelled data. But data labelling is an intensive process that requires a lot of human effort. For enterprises, this effort is magnified many folds as they have multiple fronts to deal with: labelling projects, use cases, data types, and labelling teams. Overall, this leads to a significant…

Artificial Intelligence is Modernizing Restaurant Industry – Analytics Insight

While technology is growing and benefiting many industries, certain industries are still struggling to survive. One such industry experiencing the battle of endurance amidst its peers is the restaurant business. 52% of the restaurant proprietors have consented to the fact that high operating and food costs appear to be the top difficulties that come their…