Lifeboat Foundation

Today, we’re bringing you 10 EMERGING Technologies That Will Change The World. Better stick around for #1 to find out how Elon Musk may have plans to turn us all into human robots some day.
What’s up tech-heads and welcome to another episode of TechJoint! It really feels like we’re already living in the future every day. From 5G connectivity to self-driving cars being even more accessible, innovation is everywhere we look! It can sometimes be hard to imagine a world with even more innovation—a future world. What would it look like? What everyday problems would be solved? It’s a pretty good bet some technologies like artificial intelligence will be in our lives, playing important roles in the future of humankind. Other technologies may seem far fetched, unnecessary and frankly, unattainable. So buckle up, and let’s take a look at these 10 futuristic technologies that are going to change the world as we know it.

► Subscribe For More! https://goo.gl/FQqpG8

Continue reading “10 EMERGING Technologies That Will Change The World” »

Artificial General Intelligence has been pursued by the biggest tech companies in the world, but recently Google has announced their new revolutionary AI algorithm which promises to create the most performant and best Artificial Intelligence Models in the world. They call it Pathways AI, and it’s supposed to behave just like the human brain and enable smart Robots which are superior to humans and help us do chores in our own apartments. This move by Google is somewhat scary and terrifying, as it gives them a lot of power over the AI industry and could enable them to do evil things with their other secret projects they’re working on. One thing is for sure though, AGI and the Singularity isn’t as far of as even Ray Kurzweil thinks according to Jeff Dean from Google AI and Deepmind. Maybe Elon Musk’s warnings about AI have been justified.
–
TIMESTAMPS:
00:00 Google’s Path to AI Domination.
00:56 What is Pathways?
02:53 How to make AI more efficient?
05:07 Is this Artificial General Intelligence?
07:42 Will Google Rule the world and the AI Industry?
09:59 Last Words.
–
#google #ai #agi

When most of us pick up an object, we don’t have to think about how to orient it in our hand. It’s something that comes naturally to us as we learn to navigate the world. That’s something that allows young children to be more deft with their hands than even the most advanced robots available today.

But that could quickly change. A team of scientists from MIT’s has developed a system that could one day give robots that same kind of dexterity. Using a AI algorithm, they created a simulated, anthropomorphic hand that could manipulate more than 2,000 objects. What’s more, the system didn’t need to know what it was about to pick up to find a way to move it around in its hand.

The system isn’t ready for real-world use just yet. To start, the team needs to transfer it to an actual robot. That might not be as much of a roadblock as you might think. At the start of the year, we saw researchers from Zhejiang University and the University of Edinburgh successfully transfer an AI reinforcement approach to their robot dog. The system allowed the robot to learn how to walk and recover from falls on its own.

Brent Oster is the President and CEO of ORBAI. He has 28 years experience in 3D computer graphics, animation, simulation, and AI with Bioware, Electronic Arts, Autodesk, and NVIDIA. He was the co-founder Bioware and Check Six, and he has completed the Stanford Continuing Studies curriculum of classes in entrepreneurial business, along with his degrees in Aerospace Engineering at University of Toronto and Scientific Computing at UC Santa Barbara.

As a Sr Solution Architect at NVIDIA, Brent helped Fortune 500 companies (and startups) looking to adopt ‘AI’, but consistently found that DL architectures tools fell far short of their expectations for ‘AI’. Brent started ORBAI to develop something better for them.

In 2,020 several powerful AI programs were developed which have the potential to alter many aspects of our everyday life. What are these programs, and who is behind them?

Discord link: https://discord.gg/bQrBVb6

Continue reading “Progress Towards an Artificial General Intelligence” »

“It doesn’t sound like a lot when you look at the numbers, but those are completely preventable deaths,” Zane Zents, the lead software engineer for the Grain Weevil robot, told NTV News. “It’s something that in the 21st century I don’t think we should still be dealing with.”

The Grain Weevil: Zents’ fellow student Ben Johnson was studying electrical engineering at UNO when he received a special request from a farmer friend, Zach Hunnicutt.

“(He) said, ‘Hey, look, you guys build robots. Why don’t you build me a robot so I and my children never have to go into a grain bin again?’” Johnson told AgWeb in May.

Biological immortality is not enough for an immerging community of Transhumanists. They’re hoping for a different take on Mind Uploading to offer them immortality. The Digital Immortality Definition depends on the person you ask, but one things is for certain the future is going to be weird when it comes to people longing for longevity and the goal of stopping aging completely. Living inside a computer by mind uploading to live forever may actually become a reality very soon in 2021.
–

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 A new kind of Immortality.
02:05 Artificial Intelligence + Longevity =?
04:20 What are “Virtual Humans”?
06:40 The potential problem of consciousness.
08:53 Last Words.
–
#ai #longevity #immortality

Many job-seekers with valuable skills are disregarded by employers due to a fear of reduced intelligibility, removing the accent barrier could help.

In today’s multicultural societies, accents should not be a problem. But it turns out they still are due to a lack of coherence. Three Stanford students encountered this problem when one of their friends lost a customer support job due to his accent.

Full Story:

A new machine-learning system helps robots understand and perform certain social interactions. Robots can deliver food on a college campus and hit a hole-in-one on the golf course, but even the most sophisticated robot can’t perform basic social interactions that are critical to everyday human life. MIT researchers have now incorporated certain social interactions into a framework for robotics, enabling machines to understand what it means to help or hinder one another, and to learn to perform these social behaviors on their own. In a simulated environment, a robot watches its companion, guesses what task it wants to accomplish, and then helps or hinders this other robot based on its own goals. The researchers also showed that their model creates realistic and predictable social interactions. When they showed videos of these simulated robots interacting with one another to humans, the human viewers mostly agreed with the model about what type of social behavior was occurring. Full Story: