Peggy Smedley Show

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Securing our vulnerable cyber systems is becoming a greater priority for many—and nine universities in Virginia are uniting together to advance research on how AI (artificial intelligence) can make networks more secure. The Commonwealth Cyber Initiative brings together nine Virginia public universities to explore cybersecurity issues, and it has been awarded 18 seed grants for a total of $1.61 million. Together, the researchers are using generative AI to increase the security of iris biometrics, leveraging LLMs (large language models). Here is how this can help: Analyze security vulnerabilities in software. Employ privacy-preserving learning for public health surveillance. Advance AI to improve security and privacy. Looking to the future, we will see ongoing research in several areas such as adaptive intrusion detection, AI-powered cyber defense, deepfake detection, wireless sensor systems, and meta-architecture binary code analysis, just to name a…

When a challenge presents itself, researchers and students at universities step up to find a solution. Such was the case at Stanford when wildfire researchers ran into the challenge of deploying sensors to monitor smoke from prescribed burns. Students and researchers began working together to develop customized sensors for controlled fire monitoring and sustainability research. The fact is we will see more states fast track wildfire prevention efforts. California is one such state. These efforts could include more controlled burns, but the agencies need better data to understand how these controlled burns impact air quality. As the threat of wildfires grows, the low-cost, low-power sensors can help in several different ways. Here is how this can help: Inform risk management as state wildfire agencies and others scale up their use of prescribed burns. Better understand the impact of prescribed burns to surrounding communities. Bring notifications to the community. Low-cost ways for land managers to monitor air pollutants and smoke exposure. Looking to the future, we will see greater use of the technology. The research team will also add enhancements such as more environmental indicators and will work with local communities and…

The opportunities gen AI (artificial intelligence) brings to most industries are significant—dare we say remarkable? But let’s be clear, there are still some challenges. For example, most LLMs (large language models) are trained on publicly available data and the vast majority of enterprise data remains untapped, and much work needs to be done to address this. And again, dare we say address this sooner, rather than later? Enter Granite 3.0, IBM’s third-generation Granite flagship language models, which was announced earlier this week at IBM’s second annual TechXchange event. By combining a small Granite model with enterprise data, especially using the…

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We have come a long way with safety. If you journey back to the year 1960 and walked a construction jobsite, you would see very different work conditions than you see today. Hard hats were not mandatory yet and PPE (personal protective equipment) wasn’t the common three-letter jobsite acronym that it is today. Workers would be hanging from the top of buildings, with little gear to protect them. We have certainly come a long way, right? Yes and no. The reality is every year, one in 100 construction workers still get hurt bad enough to need time off work. We…

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