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Data


New documentation standards in machine learning can enable responsible technology. These risk management strategies highlight how organizations can be compliant while protecting their valuable intellectual property. The growing use of machine learning (ML), within a global drive toward digital acceleration, raises the question, “Who’s minding the store?” We’ve seen many examples of both the power …

Most of us benefit every day from the fact computers can now “understand” us when we speak or write. Yet few of us have paused to consider the potentially damaging ways this same technology may be shaping our culture. Human language is full of ambiguity and double meanings. For instance, consider the potential meaning of …

What does it mean for a machine to learn? In a way, machines learn just like humans. They infer patterns from data through a combination of experience and instruction. In this article, we will give you a sense of the applications for machine learning and explain why Python is a perfect choice for getting started. …

Health care is at a junction, a point where artificial intelligence tools are being introduced to all areas of the space. This introduction comes with great expectations: AI has the potential to greatly improve existing technologies, sharpen personalized medicines, and, with an influx of big data, benefit historically underserved populations. But in order to do …

I’d like to explain briefly how we use artificial intelligence to count sunflower seeds in a photo taken with a mobile device. Agenda: 1. Business needs 2. Data preparation 3. Model structure 4. Used libs and tools 5. Results 6. Error analysis 7. Fails/Hypotheses 8. Conclusion 9. References 1. Business needs Fortunately for me, I …

By applying modern machine learning and data science methods to “extreme” plasma physics, researchers can gain insight into our universe and find clues about creating a limitless amount of energy. In a recent perspective published in Nature, Lawrence Livermore National Laboratory (LLNL) scientists and international collaborators outline key challenges and future directions in using machine …

Researchers have changed a game of digital Monopoly to help artificial intelligence adapt to unexpected events. They did this by charging the players a wealth tax every time a player passes ‘Go’, instead of giving them $200. Experiments like this could improve the function of AI in wider-scale, real-life situations, such as the complex assessment …

Earlier, widespread automation meant the introduction of service sector jobs or big stupid machines doing repetitive work in factories. That’s not the case a couple of decades down the line, is it? Now there is software that can land aircraft, diagnose cancer, and trade stocks for you🐱‍👓 Machines are now capable of breaking down complex …

This article is part of the Global Technology Governance Summit The COVID-19 crisis is shining a Klieg light on the immense challenges of planning for the future amid extreme uncertainty. Now more than ever, leaders need tools to help them understand where they are headed beyond the near-term. Futures discussions can feel like a blizzard of …

At its core, “artificial intelligence” is a perilous belief that fails to recognize the agency of humans. A leading anxiety in both the technology and foreign policy worlds today is China’s purported edge in the artificial intelligence race. The usual narrative goes like this: Without the constraints on data collection that liberal democracies impose and with …