San Francisco Mayor Daniel Lurie: 'We Are a City on the Rise' Since taking office, San Francisco's mayor has been on a quest to revitalize the city and increase public safety. He's also kept the National Guard out--with a little help from some very powerful friends. I first met Daniel Lurie, San Francisco's newly minted mayor, about five minutes before we walked onstage at WIRED's Big Interview event, held in his city last week. Lurie's team let me know ahead of time that his window for this conversation was tight: He'd just come from announcing a new city police chief, and had about half an hour for me before he needed to be on to the next thing. Which was? "No idea," Lurie quipped, shortly before we were foisted from backstage and into our conversation in front of several hundred attendees--a local crowd, who, judging from their boisterous reactions to Lurie's every word, are among the 73 percent of San Franciscans who approve of the job he's done since taking office in January of this year. To Lurie's credit, the story of San Francisco right now is largely a positive one. The city is indisputably the global hub of AI innovation and the billions of dollars that accompany it, with companies like Anthropic and OpenAI, along with smaller startups, investors, and plenty of young, AI-focused technologists all calling San Francisco home. Yes, that means rents are up and housing stock remains precariously low. But office vacancy rates are dropping, retail outlets are coming back to the city's downtown, and as Lurie's office is quick to tout, several key metrics measuring municipal crime--including homicides and car break-ins--are at historic lows. I wanted to talk to Lurie about all of that, but I was also curious about the bigger picture: his administration's dynamic with the federal government, particularly in the context of President Trump's October plan to send the National Guard into San Francisco--an endeavor that Lurie managed to thwart, according to The New York Times, by recruiting a powerful coterie of technology executives to work the phones in his favor. Lurie wasn't exactly forthcoming there, in keeping with his diligent efforts to focus conversations on San Francisco, and perhaps avoid attracting the attention, or the ire, of the current administration. It's a different tack than other Democrats governing progressive parts of the country have taken, from New York City mayor-elect Zohran Mamdani to California governor Gavin Newsom. But if the response in the room last week was any indication, Lurie's local fans don't seem to mind his "say less" strategy--at least for now. Someone has a 70-something percent approval rating.

An image made with a drone shows air handling units on the roof of a CloudHQ data center in Ashburn, Virginia. An image made with a drone shows air handling units on the roof of a CloudHQ data center in Ashburn, Virginia. Mon 8 Dec 2025 07.00 ESTLast modified on Mon 8 Dec 2025 08.41 EST A coalition of more than 230 environmental groups has demanded a national moratorium on new datacenters in the US, the latest salvo in a growing backlash to a booming artificial intelligence industry that has been blamed for escalating electricity bills and worsening the climate crisis. The green groups, including Greenpeace, Friends of the Earth, Food & Water Watch and dozens of local organizations, have urged members of Congress to halt the proliferation of energy-hungry datacenters, accusing them of causing planet-heating emissions, sucking up vast amounts of water and for exacerbating electricity bill increases that have hit Americans this year. The push comes amid a growing revolt against moves by companies such as Meta, Google and Open AI to plow hundreds of billions of dollars into new datacenters, primarily to meet the huge computing demands of AI.

Ikea's Smart Home Reset Goes Back to Basics Ikea's new 21-product series of bulbs, sensors, and remotes is dirt cheap, idiot-proof, Matter-ready, and designed to work with everything. But it's still years from the promised house of the future. That's what you might be thinking if you've been following smart-home tech for the past decade or, indeed, building out your own fortress of missed connections. The first Nest thermostat launched in 2011, Philips Hue in 2012, the Amazon Echo in 2014. But for anyone who has spent long nights scrolling through IoT troubleshooting forums since then, here's the latest: It's finally time for a do-over.

As world leaders gather in New York City for the United Nations General Assembly, there's a lot to get done, with just six years left to achieve the bold ambitions laid out for the world's 2030 agenda. When world governments agreed to the 2030 plan back in 2015, a decade and a half seemed like plenty of time to achieve the 17 Sustainable Development Goals (SDGs) designed to create a more prosperous, safe and fair global society. While amazing progress has been made, we are in danger of falling short. I believe the U.N.'s goals can be attained through a collaborative commitment to make digital networks available to everybody in the world. Mobility, broadband and the cloud are the infrastructure of 21st century life and everybody should have that opportunity.

In this paper, we study cost-effective home robot solutions which are designed for home health monitoring. The recent advancements in Artificial Intelligence (AI) have significantly advanced the capabilities of the robots, enabling them to better and efficiently understand and interact with their surroundings. The most common robots currently used in homes are toy robots and cleaning robots. While these are relatively affordable, their functionalities are very limited. On the other hand, humanoid and quadruped robots offer more sophisticated features and capabilities, albeit at a much higher cost. Another category is educational robots, which provide educators with the flexibility to attach various sensors and integrate different design methods with the integrated operating systems. However, the challenge still exists in bridging the gap between affordability and functionality. Our research aims to address this by exploring the potential of developing advanced yet affordable and accessible robots for home robots, aiming for health monitoring, by using edge computing techniques and taking advantage of existing computing resources for home robots, such as mobile phones.

An urban planner might design the spatial layout of transportation amenities so as to improve accessibility for underserved communities -- a fairness objective. However, implementing such a design might trigger processes of neighborhood change that change who benefits from these amenities in the long term. If so, has the planner really achieved their fairness objective? Can algorithmic decision-making anticipate second order effects? In this paper, we take a step in this direction by formulating processes of neighborhood change as instances of no-regret dynamics; a collective learning process in which a set of strategic agents rapidly reach a state of approximate equilibrium. We mathematize concepts of neighborhood change to model the incentive structures impacting individual dwelling-site decision-making. Our model accounts for affordability, access to relevant transit amenities, community ties, and site upkeep. We showcase our model with computational experiments that provide semi-quantitative insights on the spatial economics of neighborhood change, particularly on the influence of residential zoning policy and the placement of transit amenities.

Assistive or enabling technologies aim to create more accessible and inclusive solutions for people living with disabilities. This is critical, since many such users rely on technology for daily activities such as mobility and communication. While the problems are global, there are unique challenges that exist in the Asia Pacific region when it comes to developing assistive technologies, particularly assistive devices. The United Nations Economic and Social Commission for Asia and the Pacific (UN ESCAP) estimates that 650 million people in the Asia-Pacific region live with a disability.4 It is also well understood that disability statistics in the region could be significantly underreported.

In this 21st century, the majority of households are shifting into smart homes. They have adopted smart home technology and its applications. It also counts for security, home safety, performance, and lighting. The principal industries have begun integrating artificial intelligence with smart machines to facilitate connectivity among several devices. AI empowers the capability to connect several IoT projects linked with better processing and learning skills and utilize them to prior human presence.

In the year 2007, Adam and Eve discovered something that takes many years for others to discover. Eve researched an element named triclosan, a common component of toothpaste, and discovered that it is efficient in combating malaria-based parasites! Eve's friend Adam, researched the functions of yeast and turned over billions of data points available in the public databases to understand and predict the functioning of 19 genes of yeast. In the process, Adam discovered 9 new and accurate hypotheses. All this is done within an unbelievable time frame and with the highest precision and accuracy.

Artificial Intelligence is the latest technology that has increased its prominence in the digital world. You can use AI technology for the enhancement of paid advertisement. No matter where you publish them, AI can ensure outstanding returns from it. As a new business person, you can check the top five ways AI supports the paid ads you publish on top social media sites. Knowledge of all details can help you understand if publishing ads with charges are affordable for you. Moreover, you can determine if it is needed.