The rapid expansion of Internet of Things (IoT) devices has transformed industries and daily life by enabling widespread connectivity and data exchange. However, this increased interconnection has introduced serious security vulnerabilities, making IoT systems more exposed to sophisticated cyber attacks. This study presents a novel ensemble learning architecture designed to improve IoT attack detection. The proposed approach applies advanced machine learning techniques, specifically the Extra Trees Classifier, along with thorough preprocessing and hyperparameter optimization. It is evaluated on several benchmark datasets including CICIoT2023, IoTID20, BotNeTIoT L01, ToN IoT, N BaIoT, and BoT IoT. The results show excellent performance, achieving high recall, accuracy, and precision with very low error rates. These outcomes demonstrate the model efficiency and superiority compared to existing approaches, providing an effective and scalable method for securing IoT environments. This research establishes a solid foundation for future progress in protecting connected devices from evolving cyber threats.

If you want to support my writing, where I depend on community support, you can do so with so by going here. If there was a legitimate AI for Good story for artificial intelligence in the 2020s, it would be healthcare. A male dominated Venture Capital sector has skewed the impact of A.I. up until now to a profit-centric degree. Given that's the kind of world we live in, I'm always looking for more uplifting stories around the emergence of AI. Recently an MIT researcher who survived breast cancer devised a technique that seems to predict many breast cancer cases (WP paywalled).

You're reading the web edition of STAT Health Tech, our guide to how tech is transforming the life sciences. Sign up to get this newsletter delivered in your inbox every Tuesday and Thursday. During the pandemic, the FDA eased limitations on telehealth prescriptions and mail delivery for certain drugs -- including abortion pills, which can be used safely and effectively in the first 10 weeks of pregnancy. In December, the FDA made that access permanent -- but so far, telehealth startups aren't jumping to provide the pills. Companies including Hims & Hers, Nurx, Tia, and PillPack, many of which frame their offerings around reduced stigma and increased sexual freedom, have chosen not to offer the treatment, with some employees citing fear that political controversy could harm their businesses' growth.

Artificial intelligence and machine learning systems continue to be adopted into an ever wider array of healthcare applications, such as assisting doctors with medical image diagnostics. Capable of understanding X-rays and rapidly generating MRIs -- sometimes even able to spot cases of COVID -- these systems have also proven effective at noticing early signs of breast cancer which might otherwise be missed by radiologists. Google and IBM, as well as medical centers and university research teams around the world, have all sought to develop such cancer-catching algorithms. They can spot worrisome lumps as well as radiologists can and predict future onsets of the disease "significantly" better than the humans that trained them. However many medical AI imaging systems produce markedly less accurate results for black and brown people -- despite WOC being 43 percent more likely to die from breast cancer compared to their white counterparts.

When Covid came to Massachusetts, it forced Constance Lehman to change how Massachusetts General Hospital screens women for breast cancer. Many people were skipping regular checkups and scans due to worries about the virus. So the center Lehman codirects began using an artificial intelligence algorithm to predict who is at most risk of developing cancer. Since the outbreak began, Lehman says, around 20,000 women have skipped routine screening. Normally five of every 1,000 women screened shows signs of cancer.

The voice-activated gadget in the corner of your bedroom suddenly laughs maniacally, and sends a recording of your pillow talk to a colleague. The clip of Peppa Pig your toddler is watching on YouTube unexpectedly descends into bloodletting and death. The social network you use to keep in touch with old school friends turns out to be influencing elections and fomenting coups. Something strange has happened to our way of thinking – and as a result, even stranger things are happening to the world. We have come to believe that everything is computable and can be resolved by the application of new technologies. But these technologies are not neutral facilitators: they embody our politics and biases, they extend beyond the boundaries of nations and legal jurisdictions and increasingly exceed the understanding of even their creators. As a result, we understand less and less about the world as these powerful technologies assume more control over our everyday lives. Across the sciences and society, in politics and education, in warfare and commerce, new technologies are not merely augmenting our abilities, they are actively shaping and directing them, for better and for worse. If we do not understand how complex technologies function then their potential is more easily captured by selfish elites and corporations.

Our oceans are in trouble. Climate change, plastic waste and overfishing are all causing tremendous damage to underwater life around the world. Inspired by the BBC's Blue Planet II series, developer E-Line Media is making a video game that focuses on the scientists who are trying to understand our impact. It's called Beyond Blue and will put you in charge of a research team with stunning technology designed to unlock new insights about the sea. Your task is simply to gather information and learn what you can about these fast-changing, human-made threats to the sea.

Japan has become the second country to grand legal rights to a robot. Not long after Saudi Arabia gave citizenship to Sophia, albeit discredited by some as a PR stunt, Tokyo's Shibuya ward are following suit by giving residency to an AI entity named Shibuya Mirai – even giving it a birth certificate. Mirai, Japanese for "future", is a chatbot on the Japanese messaging service, Line. Unlike Sophia which was designed by Hanson Robotics to look human, Mirai does not have a physical presence. He exists solely online and was created as part of a drive to make the local government more accessible.

A chatbot programmed to be a seven-year-old boy has become the first AI bot to be granted official residence in Tokyo, Japan. Shibuya Mirai is the latest resident of Shibuya, a Tokyo ward with a population of around 224,000 people, despite only existing as a chatbot on the Line messaging app. The ward's decision to make Mirai--meaning'future' in Japanese--an official resident is part of a project aimed at making the local government more familiar and accessible to locals. The chatty seven-year-old is designed to listen to the opinions of Shibuya residents. "His hobbies are taking pictures and observing people," Shibuya Ward said in a statement seen by the AFP news agency.

Tokyo, Japan may have just become the first city to officially grant residence to an artificial intelligence (AI). The intelligence's name is Shibuya Mirai and exists only as a chatbot on the popular Line messaging app. Mirai, which translates to'future' from Japanese, joins Hanson Robotic's "Sophia" as pioneering AI gaining statuses previously reserved for living, biological entities. The Kingdom of Saudi Arabia granted Sophia citizenship last month. The Shibuya Ward of Tokyo released a statement through Microsoft saying, "His hobbies are taking pictures and observing people. And he loves talking with people… Please talk to him about anything."