Three leading engineers discuss the impact of the AI revolution. Click here to subscribe to our channel 👉🏽 https://bbc.in/3VyyriMIntelligent machines are re…
Category: robotics/AI – Page 93
I had a conversation with NVIDIA CEO Jensen Huang and we spoke about groundbreaking developments in physical AI and other big announcements made at CES. Jensen discusses how NVIDIA Cosmos and Omniverse are revolutionizing robot training, enabling machines to understand the physical world and learn in virtual environments — reducing training time from years to hours.
He shares insights on NVIDIA DRIVE AI’s autonomous vehicle developments, including their major partnership with Toyota, and talks about the critical role of safety in their three-computer system approach.
Jensen also shares what he considers to be the most impactful technology of our time! This conversation left me feeling excited for the future of technology and where we’re headed. I hope you enjoy it as much as I did.
Timestamps:
00:00 Introduction to Humanoid Robots.
00:50 Exciting Announcements at CES
01:36 The Need for Robots.
02:00 Challenges in Building Humanoid Robots.
02:37 World Foundation Model.
03:25 Training Robots with Isaac Groot.
04:57 Virtual Training with Omniverse.
07:19 NVIDIA Drive AI and Autonomous Vehicles.
08:09 Safety in Autonomous Driving.
09:28 Impact of Artificial Intelligence.
10:56 AI in Various Industries.
11:08 Career Advice for Tech Enthusiasts.
Learn more about what NVIDIA is up to:
A dad and “AI evangelist” couldn’t understand why his daughter didn’t like the AI function of a toy he bought for her.
HPE’s liquid-cooling technology may have played a role in the win, wrote Woo Jin Ho, an analyst at Bloomberg Intelligence.
Modern AI systems have fulfilled Turing’s vision of machines that learn and converse like humans, but challenges remain. A new paper highlights concerns about energy consumption and societal inequality while calling for more robust AI testing to ensure ethical and sustainable progress.
A perspective published on November 13 in Intelligent Computing, a Science Partner Journal, argues that modern artificial intelligence.
Artificial Intelligence (AI) is a branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. These tasks include understanding natural language, recognizing patterns, solving problems, and learning from experience. AI technologies use algorithms and massive amounts of data to train models that can make decisions, automate processes, and improve over time through machine learning. The applications of AI are diverse, impacting fields such as healthcare, finance, automotive, and entertainment, fundamentally changing the way we interact with technology.
New job listings reveal that OpenAI plans to develop sensors and other hardware for its upcoming robotics products.
A newly compiled dataset of nearly one billion images of auroras is helping researchers categorize—and perhaps ultimately anticipate—the Northern Lights.
In a market moving as quickly as AI, investors say that they aren’t looking for companies with technology moats, but rather those with proprietary data.
Trying to spot contraband is a tricky business. Not only is identifying items like narcotics and counterfeit merchandise difficult, but the current most used technology—X-rays—only gives a 2D view, and often a muddy one at that.
“It’s not like X-raying a tooth, where you just have a tooth,” said Eric Miller, professor of electrical and computer engineering at Tufts. Instead, it’s like X-raying a tooth and getting the entire dental exam room.
But Miller and his research team have now found a possible solution that uses AI with deep learning to spot items that shouldn’t be there and is accurate 98% of the time. Their findings were published in Engineering Applications of Artificial Intelligence.
