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AI doing science
- MIT gives AI the power to 'reason like humans' by creating hybrid architecture
MIT scientists devise three libraries that can be combined with AI systems to improve their reasoning and contextual ... the scientists said. To do this, they must be able to sort and integrate code ...
- UAlbany lab tackles AI's "hallucinations", emotion detection and smart devices
As a New York State lawmaker calls for more warnings and disclaimers on online chatbots, the AI in Complex Systems Lab at UAlbany is researching.
- AI Therapy Bots Have Risks and Benefits and More Risks
Therapy chatbots are increasingly popular and may benefit some people, but it's dangerous to trust AI during a mental health crisis ...
- AI systems are already skilled at deceiving and manipulating humans
Many artificial intelligence (AI) systems have already learned how to deceive humans, even systems that have been trained to be helpful and honest. Researchers describe the risks of deception by AI ...
- AI is already ‘skilled’ at deceiving us, a new paper argues. Should we be worried?
AI systems have been shown to lie on their own, without first being programmed to do so. MIT's Peter Park says it's only the beginning.
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AI doing science
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Machine learning
- Machine Learning Could Make Geothermal Energy More Affordable
Machine learning technology has the potential to unlock the vast potential of geothermal energy, making it more accessible and affordable.
- The Judge Group Partners with Arm to Launch a Center of Excellence for IoT and Machine Learning Development
The Judge Group announced this week the creation of a new Center of Excellence. This initiative combines The Judge Group’s expertise in technology consulting, staffing, and training ...
- Machine learning enables cheaper and safer low-power MRI
Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study.
- Accelerating material characterization: Machine learning meets X-ray absorption spectroscopy
Lawrence Livermore National Laboratory (LLNL) scientists have developed a new approach that can rapidly predict the structure and chemical composition of heterogeneous materials.
- Machine learning aids in discovery of sperm whale ‘alphabet’
Researchers at MIT CSAIL and Project CETI believe that they have unlocked a kind of sperm whale alphabet with the aid of machine learning technologies.
Go deeper with Google Headlines on:
Machine learning
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