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Category: robotics/AI – Page 1,535

Su-75: Is Russia’s New Stealth Fighter Actually Stealth?

Earlier this year, Russia unveiled their forthcoming “stealth fighter,” the single-engine Su-75 Checkmate, with bold claims about its expected performance and capabilities. Now, as the fighter is being displayed on foreign soil for the first time at this week’s Dubai Air Show, formal statements from its manufacturer have called its stealth credentials into question.

As we discussed at the time, Russia has a long and illustrious history of exaggeration when it comes to unveiling new defense technologies, from the Uran-9 infantry robot that garnered global headlines despite secretly not working at all, to the Checkmate’s older sibling, the Su-57, which is considered the least stealth of its fighter generation and currently exists only in token numbers. Even successful designs like the T-14 Armata main battle tank are smothered under a lack of funding, with Russia unable to produce or field them in any reasonable numbers.

And while the Su-75 has yet to even manifest in a flyable way, the firm responsible for developing the aircraft has carefully tip-toed around the topic of stealth throughout multiple stories published by Russia’s state-owned news outlets in recent months. Even the language used by these outlets is more reserved than you’ll often find in the international media. As one glaring example, you’ll find the Su-75 Checkmate referred to as a stealth fighter all throughout American media… but you won’t find Rostec (the firm developing the aircraft) use that term.

Is the Artificial Intelligence Classified as Machine Learning Becoming More Personable?

Please welcome Samantha Higgins, who defines herself as a professional writer with a passion for research, observation, and innovation. She resides in Portland, Oregon with her husband and her two twin boys. When she’s not writing about artificial intelligence and other technology subjects, Samantha loves kayaking and reading creative non-fiction. In this her first contribution to 21st Century Tech Blog, she talks about the progress being made by those who create the neural networks that make computers learn about the patterns in human existence. That’s what machine learning is all about.

Machine learning is a technology that gives us language translation applications, word prediction when composing emails and texts, and suggestions on the order presentation within social media feeds. It is a technology used by many industries from healthcare where it can aid in medical diagnosis and interpretation of radiology images, as well as in the operation of autonomous vehicles.

Machine learning is a subcategory of artificial intelligence (AI), software tools that learn without explicitly relying on programming. Many companies deploying AI today are primarily using machine learning to help reduce labor costs and increase productivity.

Three New Capabilities I Have Learned About Regarding Artificial Intelligence

Recent advances in AI are using deep learning to identify areas within human organs that surgeons can safely dissect before operating, machine learning to predict if patients with memory issues will develop Alzheimer’s within two years, and deep learning to analyze eye scans during routine examinations to identify patients at short-term high risk for a heart attack.

AI is being used for surgical guidance in the OR, for predicting early-onset Alzheimer’s, and through eye exams who may have a heart attack.

AlphaFold AI Revealing the Structure of Every Protein in our Bodies and More

Research on proteins has been front and centre in our battle to defeat COVID-19. That’s why major efforts are being made to unlock the mystery of how combinations of amino acids when folded can be powerful tools in combatting diseases and more.

DeepMind in the UK and the University of Washington leading the way in proteins research to meet 21st-century problems and challenges.

The true dangers of AI are closer than we think

As long as humans have built machines, we’ve feared the day they could destroy us. Stephen Hawking famously warned that AI could spell an end to civilization. But to many AI researchers, these conversations feel unmoored. It’s not that they don’t fear AI running amok—it’s that they see it already happening, just not in the ways most people would expect.

AI is now screening job candidates, diagnosing disease, and identifying criminal suspects. But instead of making these decisions more efficient or fair, it’s often perpetuating the biases of the humans on whose decisions it was trained.