Lifeboat Foundation

Researchers at the University of Sydney Nano Institute have developed a small silicon semiconductor chip that combines electronic and photonic (light-based) elements. This innovation greatly enhances radio-frequency (RF) bandwidth and the ability to accurately control information flowing through the unit.

Expanded bandwidth means more information can flow through the chip and the inclusion of photonics allows for advanced filter controls, creating a versatile new semiconductor device.

Researchers expect the chip will have applications in advanced radar, satellite systems, wireless networks, and the roll-out of 6G and 7G telecommunications and also open the door to advanced sovereign manufacturing. It could also assist in the creation of high-tech value-add factories at places like Western Sydney’s Aerotropolis precinct.

These ‘Community Gateways’ promise to help internet service providers bring high-speed internet to remote areas. But the business program isn’t cheap.

One brain to rule them

Two researchers have revealed how they are creating a single super-brain that can pilot any robot, no matter how different they are.

Sergey Levine and Karol Hausman wrote in IEEE Spectrum that generative AI, which can create text and images, is not enough for robotics because the Internet does not have enough data on how robots interact with the world.

In Neuromorphic Computing Part 2, we dive deeper into mapping neuromorphic concepts into chips built from silicon. With the state of modern neuroscience and chip design, the tools the industry is working with we’re working with are simply too different from biology. Mike Davies, Senior Principal Engineer and Director of Intel’s Neuromorphic Computing Lab, explains the process and challenge of creating a chip that can replicate some of the form and functions in biological neural networks.

Mike’s leadership in this specialized field allows him to share the latest insights from the promising future in neuromorphic computing here at Intel. Let’s explore nature’s circuit design of over a billion years of evolution and today’s CMOS semiconductor manufacturing technology supporting incredible computing efficiency, speed and intelligence.

Continue reading “Architecture All Access: Neuromorphic Computing Part 2” »

Computer design has always been inspired by biology, especially the brain. In this episode of Architecture All Access — Mike Davies, Senior Principal Engineer and Director of Intel’s Neuromorphic Computing Lab — explains the relationship of Neuromorphic Computing and understanding the principals of brain computations at the circuit level that are enabling next-generation intelligent devices and autonomous systems.

Mike’s leadership in this specialized field allows him to share the latest insights from the promising future in neuromorphic computing here at Intel. Discover the history and influence of the secrets that nature has evolved over a billion years supporting incredible computing efficiency, speed and intelligence.

Continue reading “Architecture All Access: Neuromorphic Computing Part 1” »

The HiP framework developed MIT_CSAIL creates detailed plans for robots using the expertise of three different foundation models, helping it execute tasks in households, factories, and construction that require multiple steps.

“All we want to do is take existing pre-trained models and have them successfully interface with each other,” says Anurag Ajay, a PhD student in the MIT Department of Electrical Engineering and Computer Science (EECS) and a CSAIL affiliate. “Instead of pushing for one model to do everything, we combine multiple ones that leverage different modalities of internet data. When used in tandem, they help with robotic decision-making and can potentially aid with tasks in homes, factories, and construction sites.”

These models also need some form of “eyes” to understand the environment they’re operating in and correctly execute each sub-goal. The team used a large video diffusion model to augment the initial planning completed by the LLM, which collects geometric and physical information about the world from footage on the internet. In turn, the video model generates an observation trajectory plan, refining the LLM’s outline to incorporate new physical knowledge.

Continue reading “Multiple AI models help robots execute complex plans more transparently” »

As the 14th season of Bravo’s Real Housewives of New York City came to a close this fall, I found myself on Reddit, reading rumors about the marriage and divorce timeline of one of the show’s stars.

The web is filled with content designed for Google, not humans.

Holograms have long been a staple of science fiction, but they are now becoming a reality thanks to Holoconnects, a leading technology provider of AI-powered holographic solutions. This company is dazzling the attendees of CES 2024 with its lifelike, highly advanced hologram technology, which can create 3D holographic visualizations of people, products, or logos.

The company’s products are Holobox, the Modular Holobox, and the Holobox Mini, which can project holograms of anything you want, such as yourself, your favorite celebrity, or your brand logo. The devices are very easy to use; you need electricity and the internet to bring holograms to any location. They also have a touch system, so you can interact with and control the holograms.

The app also had a social media component, where users could create their posts by finding and sharing interesting links from around the web. Users could also like and comment on other users’ posts, and follow their favorite writers.

However, Artifact struggled to define its identity and value proposition in the crowded and competitive market of news and social media platforms. The app faced competition from established players like Twitter, Pinterest, SmartNews Apple News, and Meta’s own Instagram, which recently launched a new feature called Threads, which allows users to create and join conversations around topics they care about.