Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...
As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...
When a student writes their first line of code and sees a computer respond, something powerful happens -- curiosity turns ...
Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
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Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.
Image courtesy by QUE.com Artificial intelligence can feel like an abstract concept—something that happens inside massive ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
The plaintiff, a 19-year-old Californian known by her initials, K.G.M., claims that years of using Instagram, TikTok, YouTube ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
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