Lifeboat Foundation

A fully-connected annealer extendable to a multi-chip system and featuring a multi-policy mechanism has been designed by Tokyo Tech researchers to solve a broad class of combinatorial optimization (CO) problems relevant to real-world scenarios quickly and efficiently. Named Amorphica, the annealer has the ability to fine-tune parameters according to a specific target CO problem and has potential applications in logistics, finance, machine learning, and so on.

The modern world has grown accustomed to an efficient delivery of goods right at our doorsteps. But did you know that realizing such an efficiency requires solving a mathematical problem, namely what is the best possible route between all the destinations? Known as the “traveling salesman problem,” this belongs to a class of mathematical problems known as “combinatorial optimization” (CO) problems.

As the number of destinations increases, the number of possible routes grows exponentially, and a brute force method based on exhaustive search for the best route becomes impractical. Instead, an approach called “annealing computation” is adopted to find the best route quickly without an exhaustive search.

https://youtube.com/watch?v=hNlgfvtS5qw

Welcome to the first issue of Rushing Robotics with brief overviews of each section.

In a stunning development, a neural network now has the intuitive skills of a 9-year-old.

Also weighing in with an online essay was the Rev. Russell Moore, formerly head of the Southern Baptist Convention’s public policy division and now editor-in-chief of the evangelical magazine Christianity Today. He confided to his readers that his first sermon, delivered at age 12, was a well-intentioned mess.

“Preaching needs someone who knows the text and can convey that to the people — but it’s not just about transmitting information,” Moore wrote. “When we listen to the Word preached, we are hearing not just a word about God but a word from God.”

“Such life-altering news needs to be delivered by a human, in person,” he added. “A chatbot can research. A chatbot can write. Perhaps a chatbot can even orate. But a chatbot can’t preach.”

“OpenAI was created as an open source (which is why I named it ‘Open’ AI), non-profit company to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company effectively controlled by Microsoft,” Musk tweeted (Opens in a new window) today. “Not what I intended at all.”

OpenAI this week acknowledged that its process for “fine-tuning” ChatGPT is “imperfect.”

“Sometimes the fine-tuning process falls short of our intent (producing a safe and useful tool) and the user’s intent (getting a helpful output in response to a given input),” OpenAI says (Opens in a new window). “Improving our methods for aligning AI systems with human values is a top priority (Opens in a new window) for our company, particularly as AI systems become more capable.”

Today, Roblox provides creators with a platform that enables end-to-end tools, services, and support to help them build the most immersive 3D experiences. With Roblox Studio, creators have everything they need, out-of-the-box and for free, to build their experiences and publish immediately on all popular platforms, reaching 61 million people daily worldwide. With the advent of generative AI techniques, however, we are seeing an opportunity to revolutionize creation on the platform, both by augmenting Roblox Studio to make creation dramatically faster and easier, and also by enabling every user on Roblox to be a creator.

As we all know, generative AI learns the underlying patterns and structures of data and generates new content, such as images, audio, code, text, 3D models, or other forms of media, that have not been seen before. With a dramatic acceleration in these tools’ effectiveness for everyday content creation, this technology is at an inflection point. It now has the capability to capture the creator’s intent, provide a broad range of digital editing capabilities, help create the content, and allow for fast iteration. We have already heard from Roblox creators about how they are using this technology to create. However, these off-the-shelf AI systems are not integrated with our platform and they often do not produce “Roblox ready” output that requires substantial follow on work from a creator. We see an incredible opportunity to build generative AI tools and APIs focused on Roblox.

Continue reading “Generative AI on Roblox” »

And, what BingGPT needs to figure out before it can replace traditional search engine.

Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change.

‘We’ve put together the top 10 technology trends to watch out for in 2023 that will help enterprises be future-ready and build resilience within their organisation to thrive in any new normal,’ Kalyan Kumar, Chief Technology Officer and Head of Ecosystems of HCL Tech said in a release.