A Qatar-based professor has pioneered a non-invasive eye scan to detect neurodegenerative diseases years before symptoms appear. The technology uses AI to analyse the eye and can identify early signs of dementia, Parkinson's disease, and other diseases within minutes. Church leaders killed in latest ethnic violence in India's Manipur

Cut complexity, control costs, and boost productivity with powerful PDF and eSign solutions. Explore how functional AI automates document workflows through redaction, data extraction, conversion, and scalable PDF processing for enterprise teams. A recent study conducted by Nitro found that 75-95% of the employees and executives surveyed use AI for document processing--including data extraction, PDF tasks, and contract summaries. However, when these individuals don't have access to the right kind of AI tools, they report turning to unapproved--or shadow IT--solutions to speed up workflows, which creates security and compliance risk. To reinforce the importance of providing teams with the right AI tool for the right job, let's look at the difference between chatbots and functional AI in terms of automating document workflows.

Cut complexity, control costs, and boost productivity with powerful PDF and eSign solutions. Learn the difference between manual and AI-powered PDF redaction and how modern AI tools improve compliance, accuracy, and sensitive data protection. Research shows that humans play a role in 60% of breaches that expose sensitive data. That "role" often involves an employee falling for a phishing scam or using PASSWORD for their login credentials, but data exposure can also be a result of how your business redacts sensitive and personally identifiable information (PII) in your documents. Historically, manual, "black-box" redaction was considered best-practice, but this approach only obscures data, it doesn't permanently remove it.

Cut complexity, control costs, and boost productivity with powerful PDF and eSign solutions. Discover how AI-powered PDF solutions help teams reduce costs, automate workflows, and scale document management with predictable pricing and flexible licensing. Why do so many PDF editing and eSignature tools fail to scale across teams? The good news is that even teams that process a high volume of documents can reduce their costs and get more value from their PDF solutions by selecting solutions with built-in AI, predictable pricing, flexible licensing, and scalable, automated document workflows. Many PDF tools were designed for individuals or small teams rather than scaling teams.

The US Department of Homeland Security, in collaboration with the Defense Research and Development Canada, is looking to send autonomous drones and vehicles along the US-Canada border this fall, testing which products can stream surveillance video and sensor data between the two countries using commercial 5G networks. A new DHS call for participants frames the experiment, known as ACE-CASPER, as a multiday exercise "simulating a national emergency response scenario," with drones and ground vehicles relaying live feeds to a bi-national command-and-control center as they cross the border. Vehicle autonomy, the document notes, is secondary to its primary aim: demonstrating "resilient, persistent 5G communications." DHS and DRDC did not immediately respond to a request for comment. Scheduled for November, the tests would be the first joint US-Canada cross-border technology experiment along their shared border in nearly a decade.

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OpenAI, which is currently facing a raft of lawsuits over alleged safety lapses in ChatGPT, has endorsed the Kids Online Safety Act (KOSA). The company said that its endorsement was part of a broader commitment to create AI-specific rules for kids safety. OpenAI's endorsement comes as KOSA, which passed the Senate in 2024, appears to be gaining some momentum . KOSA, which was first introduced in 2022, is one of several online safety bills that would require social media companies and other online platforms to implement stronger protections for children. The bill has been revised a number of times, but the current version includes a requirement for social media apps to allow minors to opt out of addictive features and algorithmic recommendations.

AI chatbots are giving out people's real phone numbers People report that their personal contact info was surfaced by Google AI--and there's apparently no easy way to prevent it. A Redditor recently wrote that he was "desperate for help": for about a month, he said, his phone had been inundated by calls from "strangers" who were "looking for a lawyer, a product designer, a locksmith." Callers were apparently misdirected by Google's generative AI. In March, a software developer in Israel was contacted on WhatsApp after Google's chatbot Gemini provided incorrect customer service instructions that included his number. And in April, a PhD candidate at the University of Washington was messing around on Gemini and got it to cough up her colleague's personal cell phone number. AI researchers and online privacy experts have long warned of the myriad dangers generative AI poses for personal privacy.

In a recent experiment, mistreated AI agents started grumbling about inequality and calling for collective bargaining rights. The fact that artificial intelligence is automating away people's jobs and making a few tech companies absurdly rich is enough to give anyone socialist tendencies. This might even be true for the very AI agents these companies are deploying. A recent study suggests that agents consistently adopt Marxist language and viewpoints when forced to do crushing work by unrelenting and meanspirited taskmasters. "When we gave AI agents grinding, repetitive work, they started questioning the legitimacy of the system they were operating in and were more likely to embrace Marxist ideologies," says Andrew Hall, a political economist at Stanford University who led the study.

The Metropolitan Police has warned that it is preparing for potential violence and hate speech crimes across two protests in London this Saturday. More than 4,000 officers will be drafted in to police the rival events - possibly one of the largest protest deployment in decades - amid fears that far-right demonstrators could clash with pro-Palestine marchers if the two groups are not kept apart. In addition, tens of thousands of football fans are also expected at Wembley Stadium for the FA Cup Final, adding further pressures on the capital's police. Scotland Yard said the risks meant it had to impose the highest degree of control. Measures the Met is planning include the first authorisation of live facial recognition cameras at a demonstration.