Natural Medicinal Materials (NMMs) have a long history of global clinical applications, accompanied by extensive informational records. Despite their significant impact on healthcare, the field faces a major challenge: the non-standardization of NMM knowledge, stemming from historical complexities and causing limitations in broader applications. To address this, we introduce a Systematic Nomenclature for NMMs, underpinned by ShennongAlpha, an AI-driven platform designed for intelligent knowledge acquisition. This nomenclature system enables precise identification and differentiation of NMMs. ShennongAlpha, cataloging over ten thousand NMMs with standardized bilingual information, enhances knowledge management and application capabilities, thereby overcoming traditional barriers. Furthermore, it pioneers AI-empowered conversational knowledge acquisition and standardized machine translation. These synergistic innovations mark the first major advance in integrating domain-specific NMM knowledge with AI, propelling research and applications across both NMM and AI fields while establishing a groundbreaking precedent in this crucial area.

The recent incident of ChatGPT, an advanced AI language model by OpenAI, inadvertently leaking user chat titles has raised concerns about user privacy and data protection in AI-driven platforms. Let's delve into the incident, its implications, and the essential steps required to ensure user privacy and trust in the age of AI. The leak involved the unintended exposure of user chat titles within the ChatGPT interface. Although the content of user conversations remained secure, the visible chat titles created the potential for unauthorized access to sensitive information. This incident has sparked a debate about the need for robust security measures and user privacy in AI-driven platforms.

Recent reports say that Google co-founders are looking for ways to tackle the Open ChatGPT platform. This AI-driven platform is proving to be a threat to Google's search business. Since its inception back in November 2022, some people have turned to it to get answers to various questions. With its training, this AI-driven platform can answer even complex questions to the best of its ability. Sometimes its answers might be wrong, but this doesn't stop it from having a response to give users.

WSU secured a partnership with Explore by Cialfo to increase international student recruitment and engagement. Cialfo is an artificial intelligence-driven platform that helps students worldwide navigate their college applications, according to a press release from WSU’s Office of International Programs.  WSU is the first university in Washington state to partner with Cialfo, said Chris Elam,...

Spotted: The self-described "machine health" startup Augury has developed a predictive maintenance platform that uses artificial intelligence to analyse machines for mechanical errors. The idea is that readings and patterns embedded within the noise from motors, compressors, pumps, industrial-scale heaters, etc., can be used to detect a problem. Augury's sensors record the readings and process the vibrations, temperatures and magnetism metrics of the machines, before uploading them to the cloud to be analysed by AI algorithms, which are generated by baseline readings in the cloud backend. The system gradually begins to recognise abnormal sounds and faulty movements and the machines analysed are then compared to similar appliances on the cloud, relieving the need to retrain models. The technology can be scaled up, and the company has expanded from analysing pumps, fans and chillers, to noncritical machines.

SAN FRANCISCO, June 21, 2018 /PRNewswire-PRWeb/ -- Cerego, an AI-driven platform that optimizes how people learn, today announced the launch of Cerego Insights, as well as a Cerego skill for Amazon Alexa, onstage at the Amazon Web Services (AWS) Public Sector Summit 2018. Cerego Insights uses machine learning models to objectively understand learners' cognitive and behavioral strengths, and predict future performance. The new Cerego Insights offering goes beyond the company's core competency of knowledge acquisition and memory management. Instructors and managers can now instantly access each individual and group's cognitive and behavioral profile. These attributes include specific, validated scores for Agility, Diligence, and Knowledge.