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Technonationalism: The Race to Control AI
Countries have identified artificial intelligence (AI) as a key element in being globally competitive in the future. AI is expected to transform almost every industry, like manufacturing, agriculture, energy production, transportation, and finance. By 2030, AI will add $15.7 trillion…
Artificial Intelligence: The Building Blocks of Neural Nets
Neural networks are algorithms that are able to make a decision after been trained by processing many similar examples. For example, an algorithm might be trained for image recognition of different types of objects by processing many images that label…
Neuromorphic Computing: AI Chip Successor?
Artificial Intelligence is powered today by standard CPU or GPU chips. But there’s another type of chip which may be better suited for AI processing. ‘Neuromorphic’ chips are designed to function the way that neurons work the human brain. Neuromorphic…
Algor-ethics: Building Ethical Algorithms
Trust, ethics, governance. Technology needs to build these qualities into algorithms and their software implementations. A failure to do so is not only a reputational risk to technology companies but also a blow to fairness and decency in society. But…
Artificial Intelligence: AutoML: Self-Evolving Algorithms
Artificial Intelligence (AI) algorithms have been criticized because their developers purposely, but more likely, inadvertently, embed biases and prejudices into the design and workings of the AI. A report by AI Now finds that built-in biases “affect how AI companies…