MIT scientists are developing computer models to mimic how our ears and brain process sound, aiming to enhance hearing aid technology.
Category: robotics/AI – Page 716
Watch ChatGPT-powered humanoid robot pose funny, play terrifying ghost
Meet Alter3, a humanoid robot from the University of Tokyo that can strike various poses, from selfies to playing a spooky ghost, thanks to ChatGPT-4 AI.
In a fusion of cutting-edge technology, a highly advanced humanoid robot has been paired with unparalleled capabilities by leveraging artificial intelligence (AI).
Introducing Alter3, a humanoid robot with the ability to generate spontaneous motion through the utilization of a Large Language Model (LLM), namely GPT-4.
Developed by a University of Tokyo team, Alter3 employs Open AI’s latest tool to dynamically assume various poses, from a selfie stance to mimicking a ghost, all without the need for pre-programmed entries in its database.
Sam Altman on OpenAI and Artificial General Intelligence
If 2023 was the year artificial intelligence became a household topic of conversation, it’s in many ways because of Sam Altman, CEO of the artificial intelligence research organization OpenAI.
The OpenAI CEO spoke candidly about his November ousting and reinstatement at the company and the risks and rewards AI can bring in the future.
The Starling Squadron: NASA’s CubeSats Take Formation in Space
NASA’s Starling mission will test new technologies for autonomous swarm navigation on four CubeSats in low-Earth orbit. Credit: Blue Canyon Technologies/NASA
NASA ’s Starling spacecraft are getting in formation: the mission team has spent the last two months troubleshooting issues and commissioning the four spacecraft, nicknamed Blinky, Pinky, Inky, and Clyde.
Pinky, Inky, and Clyde have successfully completed their propulsion system commissioning and have executed maneuvers to get into their swarm operations configuration, maintaining a range between 50–200 km apart. The three have also successfully demonstrated two-way communications with their crosslink radios in this closer proximity.
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
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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).