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AIOps startup Moogsoft has improved its unified cloud monitoring platform for enterprises with a host of new features, including integration with its observability service Datadog.

The updates, according to a statement from the company, improve workflow automation and increase incident context, giving organizations using the platform a more holistic view of their systems as well as deeper actionable insights to diagnose and fix problems in real-time.

“Monitoring alone can’t move businesses forward if they don’t understand the context of what went wrong. Context achieved through observability helps customers make sense of data and illustrates how to prevent issues from happening again,” explained Adam Frank, Moogsoft’s vice president of product management and user experience (UX) design.

Robotic hand manipulates thousands of objects with ease: bit.ly/3bI367h


At just one year old, a baby is more dexterous than a robot. Sure, machines can do more than just pick up and put down objects, but we’re not quite there as far as replicating a natural pull towards exploratory or sophisticated dexterous manipulation goes.

OpenAI gave it a try with “Dactyl” (meaning “finger” from the Greek word daktylos), using their humanoid robot hand to solve a Rubik’s cube with software that’s a step towards more general AI, and a step away from the common single-task mentality. DeepMind created “ RGB-Stacking ‚” a vision-based system that challenges a robot to learn how to grab items and stack them.

Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), in the ever-present quest to get machines to replicate human abilities, created a framework that’s more scaled up: a system that can reorient over two thousand different objects, with the robotic hand facing both upwards and downwards. This ability to manipulate anything from a cup to a tuna can, and a Cheez-It box, could help the hand quickly pick-and-place objects in specific ways and locations — and even generalize to unseen objects.

Scheduled to break ground next year, the project will feature 100 single-story houses “printed” on-site using advanced robotic construction and a concrete-based building material.

Digital renderings of the neighborhood, unveiled last week, show rows of properties with their roofs covered in solar cells. The homes will each take approximately a week to build, according to firms behind the development.

The project is a collaboration between homebuilding company Lennar and ICON, a Texas-based construction firm specializing in 3D-printed structures. The houses have been co-designed by the Danish architecture practice Bjarke Ingels Group.

AI’s final and most important challange according to the leading AI Scientists seems to be beating the Human Brain in any kind of tasks put before them. This video shows you the differences between neurons inside the human brain and a regular neural network. What advantages and disadvantages do humans and machines have? Is the singularity near? All this and more in this newest episode of AI News about Artificial Intelligence.

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile

TIMESTAMPS:
00:00 AI’s Final Frontier.
01:30 How AI actually works.
02:10 How our Brain works.
03:17 Why the Brain is better than AI
05:20 Is this the future of Artificial Intelligence?
08:01 Last Words.

#ai #agi #brain

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The issue facing the world today is not simply “THE supply chain,” the issue is that nearly every single link in the supply chain is compromised. Human talent is less available and manufacturers fear this will become a permanent reality, even after the pandemic. Extreme weather events occur every month and the ongoing pandemic is also causing shortages of direct and indirect materials. In turn, shipping costs have risen sharply. The status of sheet metal, computer chips and all food ingredients are up in the air. Constraints on the supply of raw materials, including those needed for semiconductors, PPE and various plastics, have led to factory shutdowns. A chronic lack of truck drivers has every neighborhood filled empty store shelves staring back at its citizens. And, to no surprise, Inflation was just reported at 5.4%, which is a 13 year high.

Now consider that only 4% of supply chain leaders believe their operations are future ready. We are at the precipice of either complete disaster, or a brave new world.

NASA is committed to landing the first woman and the first person of color on the Moon in 2024—or thereabouts—as part of the Artemis-3 mission.

But first will come Artemis-1.

Spaceflight Now reports that NASA is now saying February 12 2022 is the soonest the un-crewed autonomous Artemis-1 mission could launch.… See more.

The only experiential time is NOW. Our phenomenal minds spring into existence at increments of conscious instants. The sequence of these Nows constitutes our “stream” of consciousness. D-Theory of Time, or Digital Presentism, is predicated on reversible quantum computing at large and gives us a coherent theoretical framework on the nature of time. In the absence of observers, the arrow of time doesn’t exist — there’s no cosmic flow of time. Instead, each conscious observer is a digital pattern flowing within a multidimensional matrix.

Based on the Cybernetic Theory of Mind by evolutionary cyberneticist Alex Vikoulov that he defends in his magnum opus The Syntellect Hypothesis: Five Paradigms of the Mind’s Evolution, comes a newly-released documentary Consciousness: Evolution of the Mind.

This film, hosted by the author of the book from which the narrative is derived, is now available for viewing on demand on Vimeo, Plex, Tubi, Xumo, Social Club TV and other global networks with its worldwide premiere aired on June 8 2021. This is a futurist’s take on the nature of consciousness and reverse engineering of our thinking in order to implement it in cybernetics and advanced AI systems.

This initial iteration of the fast-food robot—or robotic kitchen assistant, as its creators called it—was so successful that a commercial version launched last year. Its maker Miso Robotics put Flippy on the market for $30,000, and the bot was no longer limited to just flipping burgers; the new and improved Flippy could cook 19 different foods, including chicken wings, onion rings, french fries, and the Impossible Burger. It got sleeker, too: rather than sitting on a wheeled cart, the new Flippy was a “robot on a rail,” with the rail located along the hood of restaurant stoves.

This week, Miso Robotics announced an even newer, more improved Flippy robot called Flippy 2 (hey, they’re consistent). Most of the updates and improvements on the new bot are based on feedback the company received from restaurant chain White Castle, the first big restaurant chain to go all-in on the original Flippy.

So how is Flippy 2 different? The new robot can do the work of an entire fry station without any human assistance, and can do more than double the number of food preparation tasks its older sibling could do, including filling, emptying, and returning fry baskets.