Showing posts with label efficiency. Show all posts
Showing posts with label efficiency. Show all posts

Tuesday, March 31, 2026

When Will Japan’s Cherry Blossoms Bloom? A.I. Can Help Answer That; The New York Times, March 31, 2026

Javier C. HernándezKiuko Notoya and 

, The New York Times; When Will Japan’s Cherry Blossoms Bloom? A.I. Can Help Answer That

Experts use artificial intelligence to analyze data, plus thousands of crowdsourced photos, to forecast the prized flowers, which are a multibillion-dollar attraction.

"For Hiroki Ito, a data scientist and meteorologist who specializes in the high-stakes art of predicting the exact date that the trees will bloom, it has always been a time of stress. Japan’s prized cherry blossoms generate an estimated more than $9 billion in tourism and other revenue each year. Airlines, hotels and restaurants depend on the forecasts — not to mention the 123 million Japanese who want to know when to head to parks and gardens for peak bloom...

Now, Mr. Ito and other experts are turning to a tool they hope might reduce some of the burden of forecasting: artificial intelligence. They are using A.I. systems to analyze decades of temperature data, and to deliver maps and “bloom meters” for trees in more than 1,000 spots, which blossom at different times.

This year, forecasters are crowdsourcing photos from the public and feeding them into A.I.-powered databases that can track the growth of buds, which form in the summer, stay dormant through the winter, and take anywhere from two to four weeks to blossom after turning green in the spring.

In the past, experts relied on computer analysis of weather patterns and observations of trees to predict the arrival of the “blossom front,” or the flowering of the trees — with varying success. In 2007, forecasters with the official Japan Meteorological Agency were forced to deliver a televised apology after a computer glitch caused the agency to get the forecast wrong by up to nine days in some places.

A.I. systems have brought more efficiency and precision to the process, scientists say, allowing the first predictions to come out a few weeks earlier, in December — three months before the start of the main cherry blossom season."

Monday, June 30, 2025

Microsoft says AI system better than doctors at diagnosing complex health conditions; The Guardian, June 30, 2025

 , The Guardian; Microsoft says AI system better than doctors at diagnosing complex health conditions

"Microsoft has revealed details of an artificial intelligence system that performs better than human doctors at complex health diagnoses, creating a “path to medical superintelligence”.

The company’s AI unit, which is led by the British tech pioneer Mustafa Suleyman, has developed a system that imitates a panel of expert physicians tackling “diagnostically complex and intellectually demanding” cases.

Microsoft said that when paired with OpenAI’s advanced o3 AI model, its approach “solved” more than eight of 10 case studies specially chosen for the diagnostic challenge. When those case studies were tried on practising physicians – who had no access to colleagues, textbooks or chatbots – the accuracy rate was two out of 10.

Microsoft said it was also a cheaper option than using human doctors because it was more efficient at ordering tests."

Tuesday, June 3, 2025

Emerging Issues in the Use of Generative AI: Ethics, Sanctions, and Beyond; The Federalist Society, June 3, 2025 12 PM EDT

The Federalist Society; Emerging Issues in the Use of Generative AI: Ethics, Sanctions, and Beyond

"The idea of Artificial Intelligence has long presented potential challenges in the legal realm, and as AI tools become more broadly available and widely used, those potential hurdles are becoming ever more salient for lawyers in their day-to-day operations. Questions abound, from what potential risks of bias and error may exist in using an AI tool, to the challenges related to professional responsibility as traditionally understood, to the risks large language learning models pose to client confidentiality. Some contend that AI is a must-use, as it opens the door to faster, more efficient legal research that could equip lawyers to serve their clients more effectively. Others reject the use of AI, arguing that the risks of use and the work required to check the output it gives exceed its potential benefit.

Join us for a FedSoc Forum exploring the ethical and legal implications of artificial intelligence in the practice of law.

Featuring: 

  • Laurin H. Mills, Member, Werther & Mills, LLC
  • Philip A. Sechler, Senior Counsel, Alliance Defending Freedom
  • Prof. Eugene Volokh, Gary T. Schwartz Distinguished Professor of Law Emeritus, UCLA School of Law; Thomas M. Siebel Senior Fellow, Hoover Institution, Stanford University
  • (Moderator) Hon. Brantley Starr, District Judge, United States District Court for the Northern District of Texas"