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Welcome to our latest educational video, “The 9 AI Skills You Need NOW to Stay Ahead of 97% of People.” This video is designed for anyone eager to take a deep dive into the world of artificial intelligence and machine learning. Our goal is to provide you with the most essential AI skills needed to excel in this rapidly evolving field, keeping you ahead of the curve and well-positioned in the job market.

In this comprehensive guide, we explore nine fundamental AI skills, ranging from understanding algorithms to deep learning, data science, natural language processing, computer vision, robotics, and more. We also provide practical tips on how to apply these skills in real-world scenarios, whether you’re an AI enthusiast or a seasoned professional.

AI is not just the future; it’s here NOW. By acquiring these nine essential AI skills, you can position yourself among the top 3% of people who are ready to shape the future. Don’t be left behind as AI transforms industries, from healthcare and finance to entertainment and transportation.

This video is a must-watch for anyone interested in AI, machine learning, data analysis, robotics, or any related field. Whether you’re just starting out, looking to upskill, or aiming to stay ahead in your career, these nine AI skills are your key to success.

Continue reading “The 9 AI Skills You Need NOW to Stay Ahead of 97% of People” | >

Copied from :- Meta AI

New robotics research from Meta AI and Carnegie Mellon University Robotics — RoboAgent can acquire a wide diversity of non-trivial skills and generalize them to hundreds of diverse unseen scenarios — all with an order of magnitude less data than prior works in this space.

Additionally we’re open-sourcing RoboSet, a large, high-quality robotics dataset collected with commodity hardware, to support and accelerate open source research in robot learning.

More details ➡️

Continue reading “RoboAgent: A universal agent with 12 Skills” | >

It sometimes presents incorrect steps to arrive at the answer, because it is designed to base conclusions on precedent. And a precedent based on a given data set is limited to the confines of the data set. This, says Microsoft, leads to “increased costs, memory, and computational overheads.”

AoT to the rescue. The algorithm evaluates whether the initial steps—” thoughts,” to use a word generally associated only with humans—are sound, thereby avoiding a situation where an early wrong “thought” snowballs into an absurd outcome.

Though not expressly stated by Microsoft, one can imagine that if AoT is what it’s cracked up to be, it might help mitigate the so-called AI “hallucinations”—the funny, alarming phenomenon whereby programs like ChatGPT spits out false information. In one of the more notorious examples, in May 2023, a lawyer named Stephen A. Schwartz admitted to “consulting” ChatGPT as a source when conducting research for a 10-page brief. The problem: The brief referred to several court decisions as legal precedents… that never existed.

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Crafting organic molecules into a bizarre kind of magnet, physicists from Aalto University and the University of Jyväskylä in Finland have created the perfect space for observing the elusive activity of an electronic state called a triplon.

Where a garden variety magnet is typically best described as having two poles surrounded by a nest of field lines, the curious construct known as a quantum magnet defies such a simple description.

As is the case any time the word ‘quantum’ appears, you can imagine a landscape where nothing is certain. Like spinning roulette wheels in a dimly lit casino, all states are a maybe until the croupier says “no more bets”.

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A newly observed isotope of oxygen is defying all our expectations for how it should behave.

It’s oxygen-28, with the highest number of neutrons ever seen in the nucleus of an oxygen atom. Yet, while scientists believe it should be stable, it decays rapidly – calling into question what we thought we knew about “magic” numbers of particles in the nucleus of an atom.

The nucleus of an atom contains subatomic particles called nucleons, consisting of protons and neutrons.

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Stem cells can be classified based on their ability to specialize. Totipotent stem cells can become any tissue in the body, pluripotent stem cells can become any cell type except for a complete organ, and multipotent stem cells can only differentiate into specific tissue types.

Induced pluripotent stem cells (iPSCs) show promise in treating retinal degenerative diseases. They are created by reprogramming adult cells using Yamanaka factors, allowing them to revert to an embryonic state. These cells provide a virtually unlimited cell source for research and potential therapies.

Scientists are researching several diseases and drug development applications for these cells, highlighting the characteristics that make them an ideal therapy for macular degeneration.

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“Personalize or Perish.” One of the leading newspapers aptly summarizes the critical nature of personalization 2.0, or hyper-personalization for businesses.

We live in an era where customers expect businesses to understand their wants and needs. Today, companies must meet customers’ needs and anticipate and exceed them. And for this, they must pivot to a digital-first mindset to create stronger, more authentic customer interactions.

How do they do this? Through a hyper-personalized, AI-powered business strategy where products, ads, and interactions are tailor-made for each customer or a group of customers.

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