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Category: robotics/AI – Page 856

Revolutionizing the Cosmos: Deep Learning Supercharges Galactic Calculations

Supernovae, which are exploding stars, play a pivotal role in galaxy formation and evolution. However, simulating these phenomena accurately and efficiently has been a significant challenge. For the first time, a team including researchers from the University of Tokyo has utilized deep learning to enhance supernova simulations. This advancement accelerates simulations, crucial for understanding galaxy formation and evolution, as well as the evolution of chemistry that led to life.

When you hear about deep learning, you might think of the latest app that sprung up this week to do something clever with images or generate humanlike text. Deep learning might be responsible for some behind-the-scenes aspects of such things, but it’s also used extensively in different fields of research. Recently, a team at a tech event called a hackathon applied deep learning to weather forecasting. It proved quite effective, and this got doctoral student Keiya Hirashima from the University of Tokyo’s Department of Astronomy thinking.

Scientists Preparing to Turn on Computer Intended to Simulate Entire Human Brain

Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain.

They say the computer, dubbed DeepSouth, is capable of emulating networks of spiking neurons at a mind-melting 228 trillion synaptic operations per second, putting it on par with the estimated rate at which the human brain completes operations.

The project was announced at this week’s NeuroEng Workshop hosted by Western Sydney’s International Centre for Neuromorphic Systems (ICNS), a forum for luminaries in the field of computational neuroscience.

Revolutionary Mind-Reading AI System

This post is also available in: he עברית (Hebrew)

Researchers from the Human-centric Artificial Intelligence Centre at the University of Technology Sydney have developed a portable, non-invasive system that can turn silent thoughts into text.

The technology is expected to aid communication for people who are unable to speak due to illness or injury, as well as enable seamless communication between humans and machines (like operating a bionic arm or a robot).

The Emergence Of Smart Cities In The Digital Era

By Chuck Brooks

Realizing the potential of Smart Cities will require public-private cooperation and security by design.

The idea of smart cities is starting to take shape as the digital era develops. A city that has developed a public-private infrastructure to support waste management, energy, transportation, water resources, smart building technology, sustainability, security operations and citizen services is referred to as a “smart city”. Realizing the potential of Smart Cities will require public-private cooperation and security by design.

A smart city functions as an applied innovation lab. Automation, robotics, enabling nanotechnologies, artificial intelligence (human/computer interface), printed electronics and photovoltaics, wearables (flexible electronics), and information technologies like real-time and predictive analytics, super-computing, 5G wireless networks, secure cloud computing, mobile devices, and virtualization are a few of the fascinating technological trends of the digital era that are influencing the development of smart cities.

Researchers develop spintronic probabilistic computers compatible with current AI

Moore’s Law predicts that computers get faster every two years because of the evolution of semiconductor chips.

Researchers at Tohoku University and the University of California, Santa Barbara, have shown a proof-of-concept of energy-efficient computer compatible with current AI. It utilizes a stochastic behavior of nanoscale spintronics devices and is particularly suitable for probabilistic computation problems such as inference and sampling.

The team presented the results at the IEEE International Electron Devices Meeting (IEDM 2023) on December 12, 2023.

With the slowing down of Moore’s Law, there has been an increasing demand for domain-specific hardware. A probabilistic computer with naturally stochastic building blocks (probabilistic bits, or p-bits) is a representative example due to its potential capability to efficiently address various computationally hard tasks in machine learning (ML) and artificial intelligence (AI).

Imagen 2: Google DeepMind announced Imagen 2

Our most advanced text-to-image diffusion technology, delivering high-quality, photorealistic outputs that are closely aligned and consistent with the user’s prompt.

Imagen 2 is our most advanced text-to-image diffusion technology, delivering high-quality, photorealistic outputs that are closely aligned and consistent with the user’s prompt. It can generate more lifelike images by using the natural distribution of its training data, instead of adopting a pre-programmed style.

Imagen 2’s powerful text-to-image technology is available for developers and Cloud customers via the Imagen API in Google Cloud Vertex AI.

The Google Arts and Culture team is also deploying our Imagen 2 technology in their Cultural Icons experiment, allowing users to explore, learn and test their cultural knowledge with the help of Google AI.

Tesla Unveils Gen 2 Tesla Bot: Impressive Advancements in Design and Capabilities

Tesla has released a demo of their Gen 2 Tesla Bot with impressive advancements in design and capabilities, sparking discussion about its potential impact on manufacturing and the company’s success.

Questions to inspire discussion.

What are the improvements in the Gen 2 Tesla Bot?
—The Gen 2 Tesla Bot has updated design, actuated neck, improved hand and finger control, and a new tactile sensing system.

Using Digital Intelligence Against Criminal Use of AI

This post is also available in: he עברית (Hebrew)

Nowadays, many malicious elements online use AI to digitally expand their operations, and experts claim that such AI-generated fraud is only expected to worsen.

This increasing criminal use of AI challenges security agencies as they look to capture and convict criminals. Unfortunately, most agencies do not have the resources to handle the increased volume of cases, and those that do struggle immensely with differing regulations across jurisdictions. Furthermore, the lack of federal legislation on AI leaves agencies largely on their own to navigate these evolving challenges.

AI Networks are more Vulnerable to Malicious Attacks than previously thought

Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions.

At issue are so-called “adversarial attacks,” in which someone manipulates the data being fed into an AI system in order to confuse it. For example, someone might know that putting a specific type of sticker at a specific spot on a stop sign could effectively make the stop sign invisible to an AI system. Or a hacker could install code on an X-ray machine that alters the image data in a way that causes an AI system to make inaccurate diagnoses.

“For the most part, you can make all sorts of changes to a stop sign, and an AI that has been trained to identify stop signs will still know it’s a stop sign,” says Tianfu Wu, co-author of a paper on the new work and an associate professor of electrical and computer engineering at North Carolina State University. “However, if the AI has a vulnerability, and an attacker knows the vulnerability, the attacker could take advantage of the vulnerability and cause an accident.”

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