Tag: AI software development
Programmers of the Future Will Collect, Clean and Manipulate the Data...
By AI Trends Staff
Now machine learning is seen as the new way forward in software development. It is seen as potentially able to take...
Bias and Fairness: Striking a Balance
By AI Trends Staff
AI relies on large datasets to train machine learning models, and those datasets can be highly skewed in characteristics of race,...
AI on the Edge Evolving Rapidly with Specialized Chips
By AI Trends Staff
Edge computing brings computation and data storage closer to where it is needed, to improve response times and save bandwidth. Now...
OpenAI: Choosing Between Global Development of AI, and Fear of Losing...
By Konrad Budek and Arkadiusz Nowaczynski of deepsense.ai
Earlier this year, deepsense.ai highlighted AI morality and transparency as one of 2019’s dominant AI trends. Incidents...
AI Still Far Away from Mission-Critical Role, DoD’s Porter Says
Dr. Lisa Porter, Deputy Under Secretary of Defense for Research and Engineering, had a lot of good things to say about the promise of...
OECD Releases Guidelines for Development of Trustworthy AI, Joining the Pack
Australia is among 42 countries that in late May signed up to a new set of policy guidelines for the development of artificial intelligence...
The Machine Learning Life Cycle – 5 Challenges for DevOps
By Diego Oppenheimer
Machine learning is fundamentally different from traditional software development applications and requires its own, unique process: the ML development life cycle.
More and...
$15M Global Learning XPRIZE Names Two Grand Prize Winners
XPRIZE, the global leader in designing and operating incentive competitions to solve humanity’s grand challenges, announced two grand prize winners in the $15M Global Learning...
Executive Interview: John C. Havens, Executive Director, the IEEE Global...
IEEE Publishes First Edition of Ethically Aligned Design
John C. Havens is Executive Director of The IEEE Global Initiative on Ethics of Autonomous and Intelligent...
Here are 8 Tips for Avoiding Unrealistic Data Science Project Expectations
Organizations across all industries are collecting more data than ever, and looking to data scientists and analysts to glean insights that will help improve business. However,...