The Uniform Appraisal Dataset (UAD) 3.6's mandatory 2026 implementation transforms residential property valuation from narrative reporting to structured, machine-readable formats. This paper provides the first comprehensive analysis of this regulatory shift alongside concurrent AI advances in computer vision, natural language processing, and autonomous systems. We develop a three-layer framework for AI-augmented valuation addressing technical implementation and institutional trust requirements. Our analysis reveals how regulatory standardization converging with AI capabilities enables fundamental market restructuring with profound implications for professional practice, efficiency, and systemic risk. We make four key contributions: (1) documenting institutional failures including inter-appraiser variability and systematic biases undermining valuation reliability; (2) developing an architectural framework spanning physical data acquisition, semantic understanding, and cognitive reasoning that integrates emerging technologies while maintaining professional oversight; (3) addressing trust requirements for high-stakes financial applications including regulatory compliance, algorithmic fairness, and uncertainty quantification; (4) proposing evaluation methodologies beyond generic AI benchmarks toward domain-specific protocols. Our findings indicate successful transformation requires not merely technological sophistication but careful human-AI collaboration, creating systems that augment rather than replace professional expertise while addressing historical biases and information asymmetries in real estate markets.

The accelerated evolution of digital infrastructures and algorithmic systems is reshaping how the humanities engage with knowledge and culture. Rooted in the traditions of Digital Humanities and Digital Humanism, the concept of "Cyber Humanities" proposes a critical reconfiguration of humanistic inquiry for the post-digital era. This Manifesto introduces a flexible framework that integrates ethical design, sustainable digital practices, and participatory knowledge systems grounded in human-centered approaches. By means of a Decalogue of foundational principles, the Manifesto invites the scientific community to critically examine and reimagine the algorithmic infrastructures that influence culture, creativity, and collective memory. Rather than being a simple extension of existing practices, "Cyber Humanities" should be understood as a foundational paradigm for humanistic inquiry in a computationally mediated world. Keywords: Cyber Humanities, Digital Humanities, Transdisciplinary Epistemology, Algorithmic Reflexivity, Human-centered AI, Ethics-by-Design, Knowledge Ecosystems, Digital Sovereignty, Cognitive Infrastructures

Large-scale tuberculosis (TB) screening is limited by the high cost and operational complexity of traditional diagnostics, creating a need for artificial-intelligence solutions. We propose DeepGB-TB, a non-invasive system that instantly assigns TB risk scores using only cough audio and basic demographic data. The model couples a lightweight one-dimensional convolutional neural network for audio processing with a gradient-boosted decision tree for tabular features. Its principal innovation is a Cross-Modal Bidirectional Cross-Attention module (CM-BCA) that iteratively exchanges salient cues between modalities, emulating the way clinicians integrate symptoms and risk factors. To meet the clinical priority of minimizing missed cases, we design a Tuberculosis Risk-Balanced Loss (TRBL) that places stronger penalties on false-negative predictions, thereby reducing high-risk misclassifications. DeepGB-TB is evaluated on a diverse dataset of 1,105 patients collected across seven countries, achieving an AUROC of 0.903 and an F1-score of 0.851, representing a new state of the art. Its computational efficiency enables real-time, offline inference directly on common mobile devices, making it ideal for low-resource settings. Importantly, the system produces clinically validated explanations that promote trust and adoption by frontline health workers. By coupling AI innovation with public-health requirements for speed, affordability, and reliability, DeepGB-TB offers a tool for advancing global TB control.

Large-scale datasets are foundational for research and development in natural language processing. However, current approaches face three key challenges: (1) reliance on ambiguously licensed sources restricting use, sharing, and derivative works; (2) static dataset releases that prevent community contributions and diminish longevity; and (3) quality assurance processes restricted to publishing teams rather than leveraging community expertise. To address these limitations, we introduce two contributions: the Dynaword approach and Danish Dynaword. The Dynaword approach is a framework for creating large-scale, open datasets that can be continuously updated through community collaboration. Danish Dynaword is a concrete implementation that validates this approach and demonstrates its potential. Danish Dynaword contains over four times as many tokens as comparable releases, is exclusively openly licensed, and has received multiple contributions across industry and research. The repository includes light-weight tests to ensure data formatting, quality, and documentation, establishing a sustainable framework for ongoing community contributions and dataset evolution.

Former deputy chief of staff for policy Bruce Reed arrived on Capitol Hill for his closed-door deposition with the House Oversight Committee on Tuesday. Former White House physician Kevin O'Connor previously dismissed cognitive tests as "meaningless," ex-Biden administration aide Bruce Reed told House investigators on Tuesday, according to a source familiar with the proceedings. Reed, who served as White House deputy chief of staff for policy, is the ninth member of former President Joe Biden's inner circle to sit down with House Oversight Committee lawyers. A source familiar with his interview told Fox News Digital that Reed attributed Biden's disastrous 2024 debate performance against then-candidate Donald Trump to the former president's stutter, a condition that's been well-documented and Biden himself has publicly acknowledged. But his meandering and seemingly tired demeanor on stage with Trump alarmed both Democrats and media pundits, who saw it as a glaring sign of Biden's advanced age.

Two Los Angeles County residents face federal charges after they were arrested on suspicion of illegally exporting tens of millions of dollars' worth of artificial intelligence microchips to China, authorities said. Chuan Geng, 28, of Pasadena; and Shiwei Yang, 28, of El Monte, were taken into custody on Saturday for their alleged involvement in the illegal overseas export of processing units used in modern computing and artificial intelligence applications, according to a statement from the U.S. attorney's office for the Eastern District of California. Federal prosecutors said both were Chinese nationals, though Geng is a lawful permanent resident of the U.S. Yang, however, was in the country illegally as she had overstayed her visa, according to authorities. Yaoning'Mike' Sun of Chino Hills is charged with acting as an illegal agent of a foreign power and conspiring to advance China-friendly policies in local government. In a criminal complaint, U.S. Justice Department officials alleged the pair had "knowingly and willingly" undercut federal export regulations to conceal illegal shipments to China for nearly three years.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Two Chinese nationals -- one of them an illegal immigrant -- were arrested for allegedly shipping tens of millions of dollars' worth of sensitive microchips used in artificial intelligence (AI) applications to China, the Justice Department announced Tuesday. The federal criminal complaint charges Chuan Geng, 28, of Pasadena, California, and Shiwei Yang, 28, of El Monte, California, with violating the Export Control Reform Act. Prosecutors said the felony offense carries a statutory maximum penalty of 20 years in prison.

United States Transportation Secretary Sean Duffy says there are concerns about the use of artificial intelligence to set personalised airline prices, echoing red flags brought up by three Democratic senators. Duffy on Tuesday promised to investigate any airline that uses the technology to set prices. "To try to individualise pricing on seats based on how much you make or don't make or who you are, I can guarantee you that we will investigate if anyone does that," Duffy said. "We would engage very strongly if any company tries to use AI to individually price their seating." Duffy noted Delta clarified that it would not use AI for pricing individual tickets, "and I'll take them at face value."

California gubernatorial candidate Steve Hilton on former Vice President Kamala Harris declining to run for the California governorship and Gov. Gavin Newsom's idea to redraw California's map if Texas redistricts. California Democrats are once again trying to rig the system, overturn elections and steal congressional seats from Republicans. Gov. Gavin Newsom and Attorney General Rob Bonta are planning to redraw California's congressional maps in 2025 or 2026, halfway through the decade and years before the next census. It's a blatant, unconstitutional power grab designed to silence millions of voters and cement one-party rule in California. Democrats are already trying to rewrite the history of this redistricting fight, claiming it's just retaliation for Republican maps in Texas.

Breakthroughs, discoveries, and DIY tips sent every weekday. Judging by newly released photos and video, the crew aboard Ocean Exploration Trust's Nautilus research vessel had an extremely productive summer trip to the South Pacific. Over 22 days, the team completed detailed archaeological surveys of more than a dozen shipwrecks sunk amid the Solomon Islands campaign during World War II. In addition to imaging four of them for the first time, experts guided remotely operated vehicles (ROVs) towards the rediscovery of two long-lost vessels:the separated bow from the USS New Orleans as well as the Imperial Japanese Naval destroyer Teruzuki. Although researchers originally spotted some of these shipwrecks more than 34 years ago, Ocean Exploration Trust president Robert Ballard explained that the most recent trip to Iron Bottom Sound provided opportunities to document their finds using a new generation of technology including high-definition survey cameras, underwater vehicles, and imaging tools aboard the EV Nautilus.