AI & RoboticsNews

Researchers use AI classifiers to expose potential vulnerabilities in Microsoft remote desktop

Microsoft’s encrypted Remote Desktop Protocol (RDP) contains vulnerabilities that could enable attackers to detect activities, keystrokes, and mouse movements in 30-second traces. That’s according to a preprint study from researchers at Queen’s University in Kingston, Canada, who claim the protocol’s design exposes “fine-grained” actions on which machine learning models could be…
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AI & RoboticsNews

Before we put $100 billion into AI …

America is poised to invest billions of dollars to remain the leader in artificial intelligence as well as quantum computing. This investment is critically needed to reinvigorate the science that will shape our future. But in order to get the most from this investment, we…
AI & RoboticsNews

AI Weekly: Can language models learn morality?

The fervor around state-of-the-art AI language models like OpenAI’s GPT-3 hasn’t died down. If anything, it’s gaining steam. Melanie Mitchell, a professor of computer science at Portland State University, found evidence that GPT-3 can make primitive analogies. Raphaël…
AI & RoboticsNews

Researchers quantify bias in Reddit content sometimes used to train AI

In a paper published on the preprint server Arxiv.org, scientists at the King’s College London Department of Informatics used natural language to show evidence of pervasive gender and religious bias in Reddit communities. This alone isn’t surprising, but the problem is that data from these communities are often used to train large language models like OpenAI’s GPT-3. That in turn is…
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AI & RoboticsNews

Researchers say we need better benchmarks to build more useful AI assistants

The promise of conversational AI is that, unlike virtually any other form of technology, all you have to do is talk. Natural language is the most natural and democratic form of communication. After all, humans are born capable of learning how to speak, but some never learn to read or use a graphical user interface. That’s why AI researchers from Element AI, Stanford University, and CIFAR…
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AI & RoboticsNews

Syntiant raises $35 million for AI speech-processing edge chips

Syntiant, a startup developing AI edge hardware for voice and sensor solutions, today closed a $35 million round. CEO Kurt Busch says the funds will be used to ramp up production throughout the remainder of 2020. According to a report published by Meticulous Research, the speech and voice recognition hardware market is expected to reach $26.8 billion by 2025. That’s because devices like smart…
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