We propose Physics-Informed Fourier Networks for Electrical Properties (EP) Tomography (PIFON-EPT), a novel deep learning-based method for EP reconstruction using noisy and/or incomplete magnetic resonance (MR) measurements. Our approach leverages the Helmholtz equation to constrain two networks, responsible for the denoising and completion of the transmit fields, and the estimation of the object's EP, respectively. We embed a random Fourier features mapping into our networks to enable efficient learning of high-frequency details encoded in the transmit fields. We demonstrated the efficacy of PIFON-EPT through several simulated experiments at 3 and 7 tesla (T) MR imaging, and showed that our method can reconstruct physically consistent EP and transmit fields. Specifically, when only $20\%$ of the noisy measured fields were used as inputs, PIFON-EPT reconstructed the EP of a phantom with $\leq 5\%$ error, and denoised and completed the measurements with $\leq 1\%$ error. Additionally, we adapted PIFON-EPT to solve the generalized Helmholtz equation that accounts for gradients of EP between inhomogeneities. This yielded improved results at interfaces between different materials without explicit knowledge of boundary conditions. PIFON-EPT is the first method that can simultaneously reconstruct EP and transmit fields from incomplete noisy MR measurements, providing new opportunities for EPT research.

Pre-trained large language models (LLMs) have recently achieved better generalization and sample efficiency in autonomous web automation. However, the performance on real-world websites has still suffered from (1) open domainness, (2) limited context length, and (3) lack of inductive bias on HTML. We introduce WebAgent, an LLM-driven agent that learns from self-experience to complete tasks on real websites following natural language instructions. WebAgent plans ahead by decomposing instructions into canonical sub-instructions, summarizes long HTML documents into task-relevant snippets, and acts on websites via Python programs generated from those. We design WebAgent with Flan-U-PaLM, for grounded code generation, and HTML-T5, new pre-trained LLMs for long HTML documents using local and global attention mechanisms and a mixture of long-span denoising objectives, for planning and summarization. We empirically demonstrate that our modular recipe improves the success on real websites by over 50%, and that HTML-T5 is the best model to solve various HTML understanding tasks; achieving 18.7% higher success rate than the prior method on MiniWoB web automation benchmark, and SoTA performance on Mind2Web, an offline task planning evaluation.

A handful of important trends will transform the software developer experience in 2023, as enterprises consider more self-hosting, observe more SaaS consolidations and see an upswing of interest in creative AI. Also, as AI enters the creativity realm, it threatens to upend the future of app dev. And OpenAI's Chat GPT, released in November, takes code completion beyond line suggestions -- in addition to writing complete web pages and simple applications, it can generate new programming languages. For developers, the 2022 job market started strong, but by December, they saw storm clouds as layoffs hit the tech sector. Experts felt vibes of the early 2000s recession and the pandemic's early days.

Lyft is planning a significant expansion of its autonomous car testing program. The company is opening a new testing facility, adding vehicles to its fleet, and racking up more test miles. Like rival Uber, Lyft believes self-driving cars are the future of ridesharing. Lyft's self-driving cars are now driving four times as many miles per quarter in autonomous mode as they were six months ago, Luc Vincent, Lyft's executive vice president of autonomous driving, wrote in a blog post. The company currently gives rides in test vehicles to employees, and the number of routes where these rides are available has tripled in the past year, Vincent wrote.

A Northern California teen was arrested Wednesday for hacking a school district's computer system and changing the grades of up to 15 students. Authorities said they arrested David Rotaro, a sophomore at Ygnacio Valley High School in Concord, California, for infiltrating the school district's computer system. Rotaro, 16, said it was like "stealing candy from a baby," according to KGO-TV, an ABC affiliate in San Francisco. It took him five minutes to design a "phishing email," that he sent out to swipe login information from school faculty. Authorities didn't release Rotaro's name, however, he confessed to having committed the crime during an interview with KGO-TV.

The ex-bomber plant and home of Rosie the Riveter will transform this year into an autonomous vehicle technology test site. It once housed one of the largest factories in the world, pumping out B24 bombers to help America and her allies win World War II, and later transmissions when it was owned by General Motors. It once housed one of the largest factories in the world, pumping out B24 bombers to help America and her allies win World War II, and later transmissions when it was owned by General Motors. The former Willow Run bomber plant in Ypsilanti Township is mostly a memory now, demolished following GM's 2009 bankruptcy, except for a piece that houses the Yankee Air Museum. Land at the former 335-acre Willow Run site in Ypsilanti Township where the American Center for Mobility is located on in January 2017 that will be used for testing autonomous vehicles.

Forbes allows marketers to connect directly with the Forbes audience by enabling them to create content – and participate in the conversation – on the Forbes digital publishing platform. Each is produced by the marketer. More on here, or contact us directly at brandvoice.com. Opinions expressed by Forbes Contributors are their own. On an old, decommissioned naval base in Concord, California, Honda showed off its latest advancements in autonomous car technology.

A report of drone sightings from the Federal Aviation Administration (FAA) shows that despite a new registration scheme, near misses between unmanned and piloted aircraft in American are on the rise. Sightings by pilots and airport officials have steadily increased from less than one a day in 2014, to over 3.5 between August 2015 and January this year, many of them from commercial passenger aircraft. In the most serious incident, the pilot of an American Airlines jet last September had to swerve to avoid a drone. On September 13, flight 475 took off from Atlanta, Georgia en route to Charlotte, North Carolina. It was climbing to 3,500 ft when the pilot of the Airbus had to take evasive action to avoid a collision with an unidentified unmanned aerial system (UAS) or drone.