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"An NHS hospital in west London is pioneering the use of Artificial Intelligence (AI) to help check for skin cancer. Chelsea and Westminster Hospital said its AI technology has been approved to give patients the all-clear without having to see a doctor. Once photos are uploaded to the system, the technology analyses and interprets the images, with 99% accuracy in diagnosing benign cases, the hospital said. Thousands of NHS patients have had urgent cancer checks using the AI tool, freeing up consultants to focus on the most serious cases and bringing down waiting lists. The system conducts the checks in minutes, with medical photographers taking photos of suspicious moles and lesions using an iPhone and the DERM app, developed by UK firm Skin Analytics."

"Najjar told the Huffington Post that the error was most likely due to Bing's use of crowdsourced translations. The service can promote alternative translations to the top spot if they receive suggestions from about 1,000 people, which means that without manual correction it is possible to manipulate the system and substitute the correct translation for an alternative."

"DeepCoder uses a technique called program synthesis: creating new programs by piecing together lines of code taken from existing software - just like a programmer might. Given a list of inputs and outputs for each code fragment, DeepCoder learned which pieces of code were needed to achieve the desired result overall. "It could allow non-coders to simply describe an idea for a program and let the system build it""

"The device tracks a single person with an accuracy of plus or minus 10 centimeters - about the size of an adult hand. Apart from the ability to "see" through a wall, its main advantage is that the person being tracked isn't required to wear a transmitter. While other location systems depend on Wi-Fi, this device can track a person's movements within the radius of its radio waves."

"There were staggering gaps in procedural and operational security, and the architecture of the system leaves it open to cyberattacks from foreign powers, such as Russia. "

""We don't do facial recognition, we do face detection," Ke Quang, chief operating officer of Quividi, told the Guardian on Monday. "It's software which works from the video feed coming off the camera. It can detect if it's seeing a face, but it never records the image or biomorphological information or traits."

Family feels that they shouldn't have to pay for a security system that doesn't work!

""The people who are on the list are not guilty until they've been prosecuted and taken to court, and the system makes that very clear", Simon says - and under the Data Protection Act "if anyone misuses that data there are very significant fines". Simon is also sanguine about the risk of misidentification. Images from the watch list will be sent with alerts so staff can check that there's a good match, he says. "

"Automatically produced texts use language models derived from statistical analysis of vast corpuses of human-generated text to produce machine-generated texts that can be very hard for a human to distinguish from text produced by another human. These models could help malicious actors in many ways, including generating convincing spam, reviews, and comments -- so it's really important to develop tools that can help us distinguish between human-generated and machine-generated texts."

"Universal has deployed the creepily named Validfill RFID system"

"the facial recognition system was tested by disney research using infrared hi-def cameras that capture people's faces while watching movies like 'big hero 6', 'the jungle book' and 'star wars: the force awakens'. the results showcased 16 million facial landmarks from 3,179 viewers demonstrating a 'very strong predictive performance'. to do so, the AI software takes the faces of people and understands how many of them are laughing, how wide are their eyes, and the different expressions they make."

""I consider 'bias' a euphemism," says Brandeis Marshall, PhD, data scientist and CEO of DataedX, an edtech and data science firm. "The words that are used are varied: There's fairness, there's responsibility, there's algorithmic bias, there's a number of terms… but really, it's dancing around the real topic… A dataset is inherently entrenched in systemic racism and sexism.""

"Twitter suffered a major security breach on Wednesday that saw hackers take control of the accounts of major public figures and corporations, including Joe Biden, Barack Obama, Elon Musk, Bill Gates, Jeff Bezos and Apple. The company confirmed the breach Wednesday evening, more than six hours after the hack began, and attributed it to a "coordinated social engineering attack" on its own employees that enabled the hackers to access "internal systems and tools"."

"Algorithms and the data that drive them are designed and created by people, which means those systems can carry biases based on who builds them and how they're ultimately deployed. Safiya Umoja Noble, author of Algorithms of Oppression: How Search Engines Reinforce Racism, offers a curated reading list exploring how technology can replicate and reinforce racist and sexist beliefs, how that bias can affect everything from health outcomes to financial credit to criminal justice, and why data discrimination is a major 21st century challenge."

"Virgin Hyperloop One announced its plan to build a $500 million certification center to advance its vision of the future of high-speed transportation in West Virginia. The state will serve as a locus for testing, developing, and validating the technology that underpins the still-theoretical hyperloop system. "

Data visibility is an important aspect to achieve the highest potential of the healthcare system for all. Right now most countries are still stuck with a decentralised set of data or no digitalisation at all. This leads to harder distribution and stocking of resources, using supply-chains and making decisions, this also includes every form of system with a high population and research. There are 4 factors in achieving data visibility. Stakeholder commitment, road map to digitalisation, data capability and interoperability.

"But ChatGPT and similar programs are, by design, unlimited in what they can "learn" (which is to say, memorize); they are incapable of distinguishing the possible from the impossible. Unlike humans, for example, who are endowed with a universal grammar that limits the languages we can learn to those with a certain kind of almost mathematical elegance, these programs learn humanly possible and humanly impossible languages with equal facility. Whereas humans are limited in the kinds of explanations we can rationally conjecture, machine learning systems can learn both that the earth is flat and that the earth is round. They trade merely in probabilities that change over time."

"Every year, Amazon ships hundreds of millions of parcels in Germany. Just a few clicks and a little later the delivery driver is at your door. An investigation by CORRECTIV.Lokal takes a look behind the scenes of the logistics chain and shows a system built on pressure, surveillance, and extreme stress. An insight into the gears of a machine where no idling is allowed."