Please see below for the latest developments artificial intelligence (AI).
- According to McKinsey, AI stands out as a transformational technology of our digital age, and its practical application throughout the economy is growing apace. For its briefing, Notes from the AI frontier: Insights from hundreds of use cases, McKinsey mapped both traditional analytics and newer “deep learning” techniques and the problems they can solve to more than 400 specific use cases in companies and organisations.
- A new SAS eBook summarised answers and results of recent interviews with business leaders that explored enterprise readiness for AI, Based on the results of that survey, this eBook delves into the biggest opportunities and challenges organisations recognise on their way to AI adoption.
- A case for broadening the study of machine behaviour. These AI systems “are a new class of agents that inhabit our world. We must use every tool at our disposal to understand and regulate their impact on the human race.”
- Francois Chollet, a deep learning expert, outlined his fears that AI could be used as a tool to exploit and manipulate people.
- “We are here to create” is an interview with Kai-Fu Lee, pioneering AI researcher and head of one of China’s Top VC firms. He’s been frank about the risks: “We’re all going to face a very challenging next fifteen or twenty years, when half of the jobs are going to be replaced by machines.
- Emmanuel Macron announced his intention to make France an AI leader and avoid “dystopia”, supported by €1.5bn in investment. Macron demonstrated a nuanced understanding of the opportunity - both technological and social - of artificial intelligence interview.
- How AI engineers are tackling bias in face-recognition systems.
- GE Medical Systems is figuring out how to deliver machine intelligence across its platforms. This great discussion highlights another important theme, the dispersion of compute across the edge and cloud.
Sources: Exponential View, Azeem Azhar's Wondermissive: Future, Tech & Society