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Category: robotics/AI – Page 58

Cisco Systems senior visioneer, Annie Hardy, joins me to discuss AI and the future of the internet.

“We are all now connected to the internet, like neurons in a giant brain.” –Stephen Hawking.

Unless you are living in a remote cabin completely off-grid, it has reached the point where you cannot avoid artificial intelligence. It’s in our search engines, it’s on our phones, it’s on the social media on our phones. It’s permeating the internet at a breakneck pace.

Annie Hardy, a fellow member of the Association of Professional Futurists and a senior visioneer at Cisco Systems, spends most of her working hours assessing the future of artificial intelligence and the internet. She joins me in this episode of Seeking Delphi, for an in depth look at where it’s headed.

Continue reading “#66–Artificial Intelligence and the Future of the Internet, with Annie Hardy” | >

Genesis integrates various physics solvers and their coupling into a unified framework.

AI robotics training has been increased tremendously with the help of a new tool. Called ‘Genesis’, the tool is a new open-source computer simulation system.

Unveiled by a large group of university and private industry researchers, the system reportedly lets robots practice tasks in simulated reality 430,000 times faster than in the real world.

According to researchers, an AI agent is also planned to generate 3D physics simulations from text prompts.

Continue reading “New physics engine lets robots practice tasks 430,000x faster” | >

Using an AI tool, researchers at Karolinska Institutet have analyzed brain images from 70-year-olds and estimated their brains’ biological age. They found that factors detrimental to vascular health, such as inflammation and high glucose levels, are associated with an older-looking brain, while healthy lifestyles were linked to brains with a younger appearance.

The results are presented in a paper titled “Biological brain age and resilience in cognitively unimpaired 70-year-old individuals” in Alzheimer’s & Dementia.

Every year, over 20,000 people in Sweden develop some form of dementia, with Alzheimer’s disease accounting for approximately two-thirds of cases. However, the speed at which the brain ages is affected by various risk and health factors.

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AI’s impact extends beyond operational efficiency; it is vital in boosting job satisfaction and retention among hourly workers. Inconsistent scheduling and poor communication have long been pain points for this group, especially as one in five Gen-Z workers juggles multiple jobs (poly-employment). AI will directly address the challenges associated with this shift through predictive scheduling and real-time updates, providing clear and reliable expectations. It’s truly a win-win: When employees are on time, customers receive the quality service they deserve.

The World Economic Forum predicts that 23% of global jobs will change in the next five years due to industry shifts, including AI. Through AI, employees can receive support with ongoing training and development tailored to their unique needs and career goals. By providing accessible, on-demand learning, it empowers workers to upskill and grow within their roles, fostering a sense of progress and fulfillment. These resources are essential for Gen-Z, who prioritize personal growth and are likelier to stay with employers who invest in their development.

As we look toward the future, it’s clear that AI is not just a tool for corporate jobs but also a powerful ally for the hourly workforce. By embracing AI, businesses can meet diverse employee needs, enhance productivity and create work environments that are technologically advanced and genuinely supportive. However, for AI to reach its potential in workplaces, industry-wide standards around data transparency and ethical practices are essential.

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• Ethics: As AI gets more powerful, we need to address ethics such as bias in algorithms, misuse, privacy and civil liberties.

• AI Regulation: Governments and organizations will need to develop regulations and guidelines for the responsible use of AI in cybersecurity to prevent misuse and ensure accountability.

AI is a game changer in cybersecurity, for both good and bad. While AI gives defenders powerful tools to detect, prevent and respond to threats, it also equips attackers with superpowers to breach defenses. How we use AI for good and to mitigate the bad will determine the future of cybersecurity.

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In an era of medical care that is increasingly aiming at more targeted medication therapies, more individual therapies and more effective therapies, doctors and scientists want to be able to introduce molecules to the biological system to undertake specific actions.

Examples are and , which for widespread use need to be both effective and inexpensive. In service of this goal, a trio of researchers has used machine learning to design a way to remove molecules inside a molecular cage. Their study is published in Physical Review Letters.

The research, whose lead author is Ryan K. Krueger of Harvard University, but to which each co-author contributed equally, uses differentiable to design complex reactions to direct the system to specific outcomes.

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Introduction to O1 Models: The O1 series represents a shift from quick, intuitive thinking to slower, more deliberate reasoning. These models are designed to handle complex problems by thoroughly analyzing multiple data sets and reasoning through various dimensions of a problem.

#Microsoft #MicrosoftAzure

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