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Category: robotics/AI – Page 456

We’re beginning to see the early stages of that trend pick up pace: In 2022, 34% of job tasks were completed by machines versus 66% by humans, according to the World Economic Forum’s “The Future of Jobs Report 2023”. By 2027, that ratio is expected to increase to 43% of tasks completed by machines and 57% by humans.

“On the one hand, yes, it’s scary to envision a world in which almost no job is safe from automation or from robotics. But the important thing to keep in mind is that through this kind of creative destruction process, while jobs will certainly be lost in some areas, there also will be jobs that will be gained.”

Despite those concerns, investors are looking for ways to bet on the growth of robotics. And according to the International Federation of Robotics, they don’t have to look very far. The US is home to the most suppliers that manufacture service robots and is well-positioned to cater to the rapidly growing global demand for robotics. The annual installation of industrial robots is expected to grow by about 30%, from 553,000 installations in 2022 to 718,000 in 2026.

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Google CEO Sundar Pichai has admitted that the generative AI boom caught Google by surprise.

During an event at Stanford University earlier this month, the tech boss said his company was “surprised” by the sudden public interest in AI.

Despite saying he recognized the tech’s significance years ago, he admitted he had a “different sense of the trajectory in mind” when it came to society’s adoption of AI.

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That led the Microsoft Research machine learning expert to wonder how much an AI model could learn using only words a 4-year-old could understand – and ultimately to an innovative training approach that’s produced a new class of more capable small language models that promises to make AI more accessible to more people.

Large language models (LLMs) have created exciting new opportunities to be more productive and creative using AI. But their size means they can require significant computing resources to operate.

While those models will still be the gold standard for solving many types of complex tasks, Microsoft has been developing a series of small language models (SLMs) that offer many of the same capabilities found in LLMs but are smaller in size and are trained on smaller amounts of data.

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If you’re considering how your organization can use this revolutionary technology, one of the choices that have to be made is whether to go with open-source or closed-source (proprietary) tools, models and algorithms.

Why is this decision important? Well, each option offers advantages and disadvantages when it comes to customization, scalability, support and security.

In this article, we’ll explore the key differences as well as the pros and cons of each approach, as well as explain the factors that need to be considered when deciding which is right for your organization.

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About the video: Will robots replace us? Apptronik, creator of the general purpose robot Apollo, has crafted a product that would only take the undesirable tasks away from humans.

Up next, Could this tiny magnetic sponge solve our ocean contamination crisis? ► • Scientists invented an oil spill mag…

Forget everything that sci-fi movies told you about robots. Introducing: Adaptable, general purpose robots who can work side-by-side with us on almost any task and in any environment. In other words, friend, not foe.

Named Apollo, this mobile robot is being built by Apptronik to capably complete thousands of tasks, and step into emergency situations that may be too dangerous for humans.

So while robots likely won’t be replacing you, Apollo has been crafted to help make your life easier, and give you more time to focus on what’s really important.

Continue reading “Meet Apollo, the real-life robot who wants to give you more free time | Hard Reset” | >

Human history was forever changed with the discovery of antibiotics in 1928. Infectious diseases such as pneumonia, tuberculosis and sepsis were widespread and lethal until penicillin made them treatable.

Surgical procedures that once came with a high risk of infection became safer and more routine. Antibiotics marked a triumphant moment in science that transformed medical practice and saved countless lives.

But antibiotics have an inherent caveat: When overused, bacteria can evolve resistance to these drugs. The World Health Organization estimated that these superbugs caused 1.27 million deaths around the world in 2019 and will likely become an increasing threat to global public health in the coming years.

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