The latest IEEE symposium on privacy and security included a presentation by CMU and Washington University researchers on IoT devices - specifically, trying to help raise the importance of cyber security and privacy in IoT devices such as baby monitors, voice-assistants and more with the proposal for labels on all devices. Would this see widespread adoption?https://youtu.be/X8k1NISqwKohttps://homes.cs.washington.edu/~pemamina/publications/sp21/sp21-paper.pdfimage credit: the researchers noted here.
Fresh from a USD$124M series A raise from notable investors (including Jaan Tallinn, technology investor and co-founder of Skype and ex Googler Eric Schmidt), US startup Anthropic seeks to build more reliable, general AI systems. Headed by ex VP Research @ OpenAI, the Anthropic team are focussing on the reliability of large-scale AI models and the transparency and interpretability of the same. https://www.anthropic.com/#researchImage credit: Gordon Johnson @Pixabay
Determining the most impactful research can be challenging and useful to such a broad audience. Computer scientists at MIT built a machine learning system - Delphi - Dynamic Early Warning by Learning system, trained on 1.6m papers published in 42 Biotechnology journals between 1982 - 2019. Not without critics - how does a system not perpetuate existing academic bias? - could this help identify foundational and impactful areas of research to collaborate and accelerate?https://www.chemistryworld.com/news/artificial-intelligence-system-can-predict-the-impact-of-research/4013750.articleImage credit - intographics @Pixabay
