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.
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.
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.
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.
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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.
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.
Continue reading “The Emergence Of Smart Cities In The Digital Era” »
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.
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.
Continue reading “Imagen 2: Google DeepMind announced Imagen 2” »
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.
