Accurate multi-slice reconstruction from limited measurement data is crucial to speed up the acquisition process in medical and scientific imaging. However, it remains challenging due to the ill-posed nature of the problem and the high computational and memory demands. We propose a framework that addresses these challenges by integrating partitioned diffusion priors with physics-based constraints. By doing so, we substantially reduce memory usage per GPU while preserving high reconstruction quality, outperforming both physics-only and full multi-slice reconstruction baselines for different modalities, namely Magnetic Resonance Imaging (MRI) and four-dimensional Scanning Transmission Electron Microscopy (4D-STEM). Additionally, we show that the proposed method improves in-distribution accuracy as well as strong generalization to out-of-distribution datasets.

Join executive leaders at the Conversational AI & Intelligent AI Assistants Summit, presented by Five9. Zillow has been a big name for online home seekers. There have been more than 135 million homes listed on the platform, and the company has streamlined the real estate transaction process from home loans, title, and buying. It says AI has been at the heart of success in providing customized search functions, product offerings, and accurate home valuations -- with a claimed median error rate of less than 2%. Zillow's initial forays into AI in 2005 centered around blackbox models for prediction and accuracy, Stan Humphries, chief analytics officer at Zillow, said at VentureBeat's virtual Transform 2021 conference on Tuesday.

"AI can play a significant role in simplifying and automating processes where traditionally humans have been involved," said Rizwan Akhtar, chief technology officer of business technology at Realogy Holdings Corp., which owns brokerage brands including Coldwell Banker, Corcoran and Sotheby's International Realty. The Morning Download delivers daily insights and news on business technology from the CIO Journal team. Artificial-intelligence efforts in the real-estate sector are benefiting from advances in cloud computing and data analytics, as well as improvements to algorithms, according to technology leaders at Realogy, Compass Inc. and Zillow Group Inc. Realogy uses more than 25 AI models, Mr. Akhtar said, including models that can help agents predict their chances of converting a prospective client into a paying client and others that can predict the optimal percentage split between a broker and an agent on a property. The company is in the early stages of testing an AI app that aims to predict when certain milestones will be reached in the home-buying process, he said. At real-estate brokerage Compass, an AI-based tool that predicts whether people in an agent's contact database are likely to sell their homes within a year resulted in more "listing wins" for its agents, said Joseph Sirosh, the company's chief technology officer.

Stories of people getting cash offers for their homes tens of thousands of dollars over asking price have become normal. This year, inventory in the US housing market hit a record low while home prices hit a record high. Redfin CEO Glenn Kelman recently highlighted the craziness with a tweet recounting the story of a home buyer who offered to name their first-born child after the seller--and was turned down. As the hot US housing market began to overheat, in February Zillow began making initial cash offers to buy homes based on its price estimate. Now Zillow has updated its algorithm behind those estimates in a way the company says will make them more accurate--and allow Zillow to offer to buy more homes.

Winners Announced for the Zillow Prize For Spectrum's January issue, I wrote about the Zillow Prize competition, in which nearly 4,000 teams were pitted against one another in a quest to come up with a computerized algorithm or machine-learning system that could predict the future sale price of homes. Real-estate giant Zillow organized the competition in hopes of using what it learned from these teams to improve its own system of predicting home prices, something the company calls the "Zestimate." And today, Zillow has announced a winner: a team made up of Chahhou Mohamed of Morocco, Jordan Meyer of the United States, and Nima Shahbazi of Canada, whose predictions bettered the Zestimate by about 13 percent. Stan Humphries, chief analytics officer for the Zillow Group, in Seattle, says that he and his colleagues have learned an enormous amount from the winning team and others in the competition--thousands of people working for two years on the problem: "That's a huge help," says Humphries. Although he couldn't be too specific, Humphries shared that one area of insight was "how you combine various models in an ensemble approach."

In 1714, the British Parliament passed the Longitude Act, which offered serious money to anyone who could devise a practical method to measure longitude at sea. While the determination of longitude might seem a trivial thing in today's world of smartphones and GPS satellites, at the time it was an immense technical challenge. It took many years, but the strategy worked, leading to the development of the marine chronometer, a handheld mechanical marvel that undoubtedly saved the lives of countless sailors. Prizes have, of course, since been used to spur innovation in many other spheres. "These were typically offered by governments," says Josh Lerner of the Harvard Business School, who has studied the effectiveness of such prizes.

Today the Zillow Group is a public company with 645 million in revenue that also operates websites for mortgage and real estate professionals -- and completed the acquisition of its nearest competitor, Trulia, last year. From the start, Zillow offered the "Zestimate," its value-forecasting feature for homes in locations across the United States. Currently, Zillow claims to have Zestimates for more than 100 million homes, with 100-plus attributes tracked for each property. The technology powering Zestimates and other features has advanced steadily over the years, with open source and cloud computing playing increasingly important roles. Last week I interviewed Stan Humphries, chief analytics officer at Zillow, along with Jasjeet Thind, senior director of data science and engineering.