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First, AI can be taught to forget. This means that not only can AI identify who knows what about a topic, but it can also contextualize that information and recognize when information becomes outdated and redundant, meaning it can ‘forget’ unuseful data as needed. Second, using non-sensitive information drawn from existing tools, AI is able to see through silos. It can use all kinds of information to draw conclusions at scale, creating in one integrated platform a live map or ‘knowledge network’ of who knows what within an organization.

In short, using data, AI can build a network of knowledge and expertise in real time. When searching for answers, everyone can then access the most accurate, up-to-date information or the best expert, at that specific point in time, to help instantly.

Before the zettabytes of data grow to yottabytes, it’s time to embrace AI’s role in tackling data overload. With AI, we can start leveraging data in the way businesses and employees demand: to empower connection, problem-solving, collaboration, and finding the answers we need.

BayWa r.e., in partnership with Grüne Energien, has received planning permission for the development of the Rag Lane Solar Farm project near Bristol, UK.


Construction of the 49.9 MW solar project in South Gloucestershire is planned to commence at the beginning of 2023, with grid connection expected in the second half of 2023. When complete, Rag Lane will deliver approximately 52 GWh/year of clean renewable electricity for distribution to the national grid, the equivalent to the annual electrical needs of approximately 15,000 family homes.

BayWa r.e. is committed to ensuring maximum benefit to the local community and environment in the development of Rag Lane. As part of the construction of the project, BayWa r.e. will provide biodiversity enhancements to the local area including the reinforcement and planting of 1.7 km of new hedgerows as a haven for wildlife, as well as ecological connectivity and improvements to the public footpath that runs across the site.

The company also anticipates that at least 20 local jobs will be created through the construction phase, with 2–3 long term jobs through the operational life of the project.

The definition of precision public health is sprawling and variable: for most researchers in the field it includes a sweep of data-driven techniques, such as sequencing pathogens to detect outbreaks and turbo-charging data collection to monitor harmful environmental exposures. It also encompasses an ambition to target interventions to specific people who need them.


Some public-health researchers are embracing data and technology to target small groups with precise health interventions. Others fear that these tactics could fail millions.

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Using the world’s smallest computer, University of Michigan (UM) researchers were able to figure out why one species of snail was able to survive a situation that pushed more than 50 others into extinction.

“We were able to get data that nobody had been able to obtain,” researcher David Blaauw said in a press release. “And that’s because we had a tiny computing system that was small enough to stick on a snail.”

Unintended consequences: In 1974, scientists introduced the rosy wolf snail to the Society Islands, home to Tahiti, in the hopes it would help control the population of giant African land snails, which had become a major pest.