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"Worse: turbines are networked, so once one turbine is compromised, the rest of the turbines in the field can be poisoned, with attacks that include "paralyzing turbines, suddenly triggering their brakes to potentially damage them, and even relaying false feedback to their operators to prevent the sabotage from being detected.""

Sounds a bit extreme just to make sure no one can log on to your laptop or smartphone, but a team of researchers from Stanford and Northwestern universities as well as SRI International is nonetheless experimenting at the computer-, cognitive- and neuroscience intersection to combat identity theft and shore up cyber security-by taking advantage of the human brain's innate abilities to learn and recognize patterns.

"In these cases, we call the SDKs "trackers" or "tracker SDKs." We follow the lead of the Electronic Frontier Foundation, Fight for the Future, and other digital rights organizations and use the term broadly: "Trackers" encompasses traditional advertisement surveillance, behavioral, and location monitoring. Legitimate uses may include user feedback mechanisms, telemetry, and crash reporters. App developers have decided to include tracker SDKs in apps for a variety of reasons, and we do not categorize all usage of trackers as malicious or condemn the app authors. Additionally, given the complexity and pace of software development, some developers may not be aware that trackers are in their app or may not know the full implications of bundling such code before publishing."

"The gulf between how well facial recognition performs in academic settings vs. real world applications is vast."

"The role of so-called social media "bots" - automated accounts capable of posting content or interacting with other users with no direct human involvement - has been the subject of much scrutiny and attention in recent years. "

""It marks an exciting moment for the field," said Demis Hassabis, DeepMind's founder and chief executive. "These algorithms are now becoming mature enough and powerful enough to be applicable to really challenging scientific problems." Advertisement Venki Ramakrishnan, the president of the Royal Society, called the work "a stunning advance" that had occurred "decades before many people in the field would have predicted"."

"The Purdue researchers have created Electro-Quasistatic Human Body Communication (EQS-HBC) which uses low-frequency, carrier-less broadband transmission, and so keeps the signal almost entirely within the human body. That means data from pacemakers and other implantable medical devices would only be readable a handful of centimetres outside the wearer."

"Increasing numbers of implantable medical devices are now gaining internet connectivity, giving doctors the ability to monitor patients health remotely, and even update the devices to tweak a treatment plan. Unfortunately, that flexibility offers a way for hackers to hijack that hardware, and even potentially make changes to the way the devices work. While so far no attacks have been successful, proof-of-concept attacks have been available for years"

"Dr Kovanović believes this is a "pointless race to have", given the momentum of the technology and its potential positives. He says AI detection "misses the point". "I think it's much better to sink our effort into how we can use AI productively." He also argued the practice of using anti-plagiarism software to score university students on how likely it was their work was written by AI was causing unnecessary stress. "It's hard to trust that score," he said."

"Consumer faith in cybersecurity, data privacy, and responsible AI hinges on what companies do today-and establishing this digital trust just might lead to business growth. "

"A new online study in Scientific Reports finds that drivers of these vehicles are assigned most of the blame for crashes which, the team argues, they can't reasonably avoid. This work is important because, as Niek Beckers at Delft University of Technology and colleagues point out, public opinion on this matter could shape future vehicle design and also legislation."

"Generational differences in learning techniques are apparent in how people of different ages approach technology. It has been said that we, the Net Generation, are closer to our grandparents-the Greatest Generation-in our work ethic and optimism about the future than to our parents' generation. But how we approach problems is totally different."

"Imagine having a digital twin that gets ill, and can be experimented on to identify the best possible treatment, without you having to go near a pill or a surgeon's knife. Scientists believe that within five to 10 years, "in silico" trials - in which hundreds of virtual organs are used to assess the safety and efficacy of drugs - could become routine, while patient-specific organ models could be used to personalise treatment and avoid medical complications. Digital twins are computational models of physical objects or processes, updated using data from their real-world counterparts. Within medicine, this means combining vast amounts of data about the workings of genes, proteins, cells and whole-body systems with patients' personal data to create virtual models of their organs - and eventually, potentially their entire body"

"But it feels less creepy once you learn that these technologies don't have to rely on a camera to see where you are and what you're doing. Instead, they use radar. Google's Advanced Technology and Products division-better known as ATAP, the department behind oddball projects such as a touch-sensitive denim jacket-has spent the past year exploring how computers can use radar to understand our needs or intentions and then react to us appropriately."

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.

"It remains possible, however, that the true costs of social-media anxieties are harder to tabulate. Gentzkow told me that, for the period between 2016 and 2020, the direct effects of misinformation were difficult to discern. "But it might have had a much larger effect because we got so worried about it-a broader impact on trust," he said. "Even if not that many people were exposed, the narrative that the world is full of fake news, and you can't trust anything, and other people are being misled about it-well, that might have had a bigger impact than the content itself." Nyhan had a similar reaction. "There are genuine questions that are really important, but there's a kind of opportunity cost that is missed here. There's so much focus on sweeping claims that aren't actionable, or unfounded claims we can contradict with data, that are crowding out the harms we can demonstrate, and the things we can test, that could make social media better." He added, "We're years into this, and we're still having an uninformed conversation about social media. It's totally wild.""

"Their findings show that currently, only about 23 percent of wages paid for tasks involving vision are economically viable for AI automation. In other words, it's only economically sensible to replace human labor with AI in about one-fourth of the jobs where vision is a key component of the work. "

"One of the key features introduced is a "Correction" capability in Azure AI Content Safety. This tool aims to address the problem of AI hallucinations - instances where AI models generate false or misleading information. "When we detect there's a mismatch between the grounding context and the response… we give that information back to the AI system," Bird explained. "With that additional information, it's usually able to do better the second try.""

"A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train surgical robots eliminates the need to program robots with each individual move required during a medical procedure and brings the field of robotic surgery closer to true autonomy, where robots could perform complex surgeries without human help."

"Dartmouth College experts recently conducted the first clinical trial of an AI chatbot designed specifically for providing mental health assistance. Called Therabot, the AI assistant was tested in the form of an app among participants diagnosed with serious mental health problems across the United States. "The improvements in symptoms we observed were comparable to what is reported for traditional outpatient therapy, suggesting this AI-assisted approach may offer clinically meaningful benefits," notes Nicholas Jacobson, associate professor of biomedical data science and psychiatry at the Geisel School of Medicine."