A new technique has been discovered that can differentiate between cancerous and healthy tissue in thin pathological samples. Using femtosecond Laser-Induced Breakdown Spectroscopy (LIBS) and machine learning, it can achieve a 95% classification accuracy. This innovative method has the potential to be used in the clinic for swift pathology during surgery without damaging healthy tissue.
GitHub's new AI tool, Copilot, assists developers in writing code by generating suggestions using machine learning algorithms. It can increase coding efficiency, reduce syntax errors, and even teach new programming languages. The Individual and Business plans offer great features like multi-line function suggestions, coding pattern filters, and corporate proxy support. Streamline your coding process and improve productivity with GitHub Copilot. Sign up for a free trial or compare pricing plans on the official website.
Carbon Health's AI-powered tool uses OpenAI LP's GPT-4 model to help doctors create detailed medical charts in less than four minutes, cutting down on time spent on manual note-taking. The tool also integrates information like lab results and has already shown a 30% increase in patient visits at a San Francisco clinic. With machine learning algorithms and Amazon Web Services Inc.'s AWS Transcribe Medical service, Carbon Health's Cloud EHR platform is revolutionizing medical record-keeping.
Discover the power of ChatGPT, the AI model that's transforming data science! With its natural language capabilities, ChatGPT quickly extracts insights from large data sets, making it useful for sentiment analysis, predictive modeling, and more. Although it has limitations, ChatGPT's potential in data science and AI integration could lead to even more powerful workflows and applications in the future. Get ready to experience more efficient and accurate data processing than ever before!
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?