Generative artificial intelligence – the kind of AI behind the hugely popular ChatGPT application – already is disrupting the healthcare industry. C-suite executives and other health IT leaders at provider organizations need to know much to keep up and what to be wary of.
Venky Anant is a partner at research and consulting firm McKinsey Digital. He is our guest on this week’s podcast. He has vast expertise in AI and knows well its disruptive potential.
The technology is part of a project by Rogers to detect wildfires early.
A Canadian telecom is installing artificial intelligence (AI) cameras to monitor and prevent wildfires caused by climate change. This is according to a report by City News Everywhere.
“Climate change is a global issue,” said Tony Staffieri, CEO of Rogers, the company behind the new initiative.
Interesting Engineering is a cutting edge, leading community designed for all lovers of engineering, technology and science.
FireBot is a high-temperature resistant and wirelessly controlled robot that can assist firefighters in search and rescue operations.
Firefighters have one of the most dangerous and heroic jobs in the world. They risk their lives every day to save people from burning buildings, often without knowing what they will face inside. But what if there was a way to make their job safer and easier?
Source: paradigm robotics and the university of texas at austin.
FireBot.
The new biography of Elon Musk by Walter Isaacson just came out on September 12. How has Musk already accomplished so much? Why does his success bother so many people? And what the heck is his fascination with the letter X?
Love him or hate him, Elon Musk seems to be everywhere with a hand in everything. He’s the richest person in the world, with an estimated net worth of between $226 Billion and $249 Billion depending on who does the estimating. And between Twitter, now X, SpaceX, Tesla, The Boring Company, OpenAI, X.Ai., and PayPal, he’s probably been involved in something that currently touches your life or will in the near future, especially if he gets his way.
Buy the Book.
https://www.barnesandnoble.com/w/elon-musk-walter-isaacson/1…1982181284
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The New York Police Department (NYPD) is implementing a new security measure at the Times Square subway station. It’s deploying a security robot to patrol the premises, which authorities say is meant to “keep you safe.” We’re not talking about a RoboCop-like machine or any human-like biped robot — the K5, which was made by California-based company Knightscope, looks like a massive version of R2-D2. Albert Fox Cahn, the executive director of privacy rights group Surveillance Technology Oversight Project, has a less flattering description for it, though, and told The New York Times that it’s like a “trash can on wheels.”
K5 weighs 420 pounds and is equipped with four cameras that can record video but not audio. As you can guess from the image above, the machine also doesn’t come with arms — it didn’t quite ignore Mayor Eric Adams’ attempt at making a heart. The robot will patrol the station from midnight until 6 AM throughout its trial run that’s running over the next two months. But K5 won’t be doing full patrols for a while, since it’s spending its first two weeks mapping out the station and roaming only the main areas and not the platforms.
It’s not quite clear if NYPD’s machine will be livestreaming its camera footage, and if law enforcement will be keeping an eye on what it captures. Adams said during the event introducing the robot that it will “record video that can be reviewed in case of an emergency or a crime.” It apparently won’t be using facial recognition, though Cahn is concerned that the technology could eventually be incorporated into the machine. Obviously, K5 doesn’t have the capability to respond to actual emergencies in the station and can’t physically or verbally apprehend suspects. The only real-time help it can provide people is to connect them to a live person to report an incident or to ask questions, provided they’re able to press a button on the robot.
A team of urban planners and information scientists at Tsinghua University in China has found that an AI-based urban planning system was able to outperform human experts in creating urban planning designs. In their study, reported in the journal Nature Computational Science, the group describes the factors that were used in describing the ideal urban plan and how well their AI did when tested. Paolo Santi, with the MIT Senseable City Lab, has published a News & Views piece in the same journal issue outlining the work done by the team on this new effort.
For much of history, cities have been left to grow organically—immediate needs were determined and urban planners and engineers attempted to fulfill those needs. In many cases, such a haphazard approach to urban growth has led to less-then-optimal results. In more recent times, city officials and other planners have attempted to take a more logical approach to the problem by creating designs for areas to be developed that account for things like livability and pollution controls.
This has led to the development of urban planning as a science and the advent of professional urban development experts. This science can be extremely complicated due to the increasing number of variables that must be accounted for as the size of a new development increases. In this new effort, the research team found a way to apply AI to the problem to ease the burden.
HONG KONG, Sept 22 (Reuters) — China’s craze over generative artificial intelligence has triggered a flurry of product announcements from startups and tech giants on an almost daily basis, but investors are warning a shakeout is imminent as cost and profit pressures grow.
The buzz in China, first ignited by the success of OpenAI’s ChatGPT almost a year ago, has given rise to what a senior Tencent (0700.HK) executive described this month as “war of a hundred models”, as it and rivals from Baidu (9888.HK) to Alibaba (9988.HK) to Huawei promote their offerings.
China now has at least 130 large language models (LLMs), accounting for 40% of the global total and just behind the United States’ 50% share, according to brokerage CLSA. Additionally, companies have also announced dozens of “industry-specific LLMs” that link to their core model.
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A depiction of a robot with human neurons.