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Category: robotics/AI – Page 917

Creating the next wave of computing beyond large language models

Presented by VAST Data

With access to just a sliver of the 2.5 quintillion bytes of data created every day, AI produces what often seem like miracles that human intellect can’t match — identifying cancer on a medical scan, a viable embryo for IVF, new ways of tackling climate change and the opioid crisis and on and on. However, that’s not true intelligence; rather, these AI systems are just designed to link data points and report conclusions, to power increasingly disruptive automation across industries.

While generative AI is trending and GPT models have taken the world by storm with their astonishing capabilities to respond to human prompts, do they truly acquire the ability to perform reasoning tasks that humans find easy to execute? It’s important to understand that the current AI the world is working with has little understanding of the world it exists in, and is unable to build a mental model that goes beyond regurgitating information that is already known.

A Leap in Performance — New Breakthrough Boosts Quantum AI

A groundbreaking theoretical proof reveals that using a technique called overparametrization enhances performance in quantum machine learning.

Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.

This New AI Supercomputer Outperforms NVIDIA! (with CEO Andrew Feldman)

In this video I discuss New Cerebras Supercomputer with Cerebras’s CEO Andrew Feldman.
Timestamps:
00:00 — Introduction.
02:15 — Why such a HUGE Chip?
02:37 — New AI Supercomputer Explained.
04:06 — Main Architectural Advantage.
05:47 — Software Stack NVIDIA CUDA vs Cerebras.
06:55 — Costs.
07:51 — Key Applications & Customers.
09:48 — Next Generation — WSE3
10:27 — NVIDIA vs Cerebras Comparison.

Mentioned Papers:
Massively scalable stencil algorithm: https://arxiv.org/abs/2204.03775
https://www.cerebras.net/blog/harnessing-the-power-of-sparsi…-ai-models.
https://www.cerebras.net/press-release/cerebras-wafer-scale-…ge-models/
Programming at Scale:
https://8968533.fs1.hubspotusercontent-na1.net/hubfs/8968533…tScale.pdf.
Massively Distributed Finite-Volume Flux Computation: https://arxiv.org/abs/2304.

Mentioned Video:
New CPU Technology: https://youtu.be/OcoZTDevwHc.

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Giving AI a Sense of Empathy Could Protect Us From Its Worst Impulses

M3GAN wasn’t malicious. It followed its programming, but without any care or respect for other beings—ultimately including Cady. In a sense, as it engaged with the physical world, M3GAN became an AI sociopath.

Sociopathic AI isn’t just a topic explored in Hollywood. To Dr. Leonardo Christov-Moore at the University of Southern California and colleagues, it’s high time we build artificial empathy into AI—and nip any antisocial behaviors in the bud.

In an essay published last week in Science Robotics, the team argued for a neuroscience perspective to embed empathy into lines of code. The key is to add “gut instincts” for survival—for example, the need to avoid physical pain. With a sense of how it may be “hurt,” an AI agent could then map that knowledge onto others. It’s similar to the way humans gauge each others’ feelings: I understand and feel your pain because I’ve been there before.

World’s first mass-produced humanoid robot? China start-up Fourier Intelligence eyes two-legged robots with AI brains

When Fourier Intelligence unveiled its lanky, jet-black humanoid robot GR-1 at the World Artificial Intelligence Conference (WAIC) in Shanghai in July, it instantly stole the show.

While the global technology community has been fixated on artificial intelligence (AI) software since the launch of OpenAI’s ChatGPT in November, the Chinese-made GR-1 — said to be capable of walking on two legs at a speed of 5km an hour while carrying a 50kg load — reminded people of the potential of bipedal robots, which are being pursued by global companies from Tesla to Xiaomi.

For Fourier, a Shanghai-based start-up, GR-1 was an unlikely triumph.

Stem cells used to create organoids that secrete dental enamel proteins

Organoids have now been created from stem cells to secrete the proteins that form dental enamel, the substance that protects teeth from damage and decay. A multi-disciplinary team of scientists from the University of Washington in Seattle led this effort.

Organiods are the new thing, when you think about how AI, and nanotechnology changed the worldnwe live in, but years from now you will realize it, like all I have predicted since I played with a Kurzweil Keyboard when I was a child.