Real-time tumor profiling can guide surgical, treatment decisions.
Category: robotics/AI – Page 894
This is according to a press release by NASA published on Thursday.
Woodside Energy will test the machine’s software and provide data and feedback to NASA particularly as it relates to developing remote mobile dexterous manipulation capabilities to accommodate remote caretaking of uncrewed and offshore energy facilities.
“Valkyrie will advance robotic remote operations capabilities which have potential to improve the efficiency of Woodside’s offshore and remote operations while also increasing safety for both its personnel and the environment. In addition, the new capabilities may have applications for NASA’s Artemis missions and for other Earth-based robotics objectives,” said the NASA statement.
Summary: Artificial Intelligence (AI), specifically GPT-4, was found to match the top 1% of human thinkers on a standard creativity test. The AI application ChatGPT, developed using GPT-4, excelled in fluency and originality in the Torrance Tests of Creative Thinking, a widely recognized tool for assessing creativity.
This breakthrough finding indicates that AI may be developing creative ability on par with or even surpassing human capabilities. Dr. Erik Guzik, the lead researcher, anticipates that AI, with its rapidly evolving advancements, will become a key tool for business innovation and entrepreneurship.
Elon Musk has again decided to share a timeline about Tesla’s self-driving effort – again claiming it will achieve “full self-driving” by the end of the year.
But this time, the CEO has mentioned “level 4 or 5” self-driving. However, it’s not clear if he knows what that means.
Over the years, Musk has claimed that Tesla was on the verge of achieving “full self-driving capability” so often that it is hard to believe him now.
AI is overwhelming the internet’s capacity for scale.
The problem, in extremely broad strokes, is this. Years ago, the web used to be a place where individuals made things. They made homepages, forums, and mailing lists, and a small bit of money with it. Then companies decided they could do things better. They created slick and feature-rich platforms and threw their doors open for anyone to join. They put boxes in front of us, and we filled those boxes with text and images, and people came to see the content of those boxes. The companies chased scale, because once enough people gather anywhere, there’s usually a way to make money off them. But AI changes these assumptions.
Given money and compute, AI systems — particularly the generative models currently in vogue — scale effortlessly. They produce text and images in abundance, and soon, music and video, too. Their output can potentially overrun or outcompete the platforms we rely on for news, information, and entertainment. But the quality of these systems is often poor, and they’re built in a way that is parasitical on the web today. These models are trained on strata of data laid down during the last web-age, which they recreate imperfectly. Companies scrape information from the open web and refine it into machine-generated content that’s cheap to generate but less reliable. This product then competes for attention with the platforms and people that came before them. Sites and users are reckoning with these changes, trying to decide how to adapt and if they even can.
“In the end, open source will win,” say Olaoluwa Osuntokun and Michael Levin, developing an AI tool for the Bitcoin-based payment protocol.
The technological research firm’s recent survey that found corporate strategists view AI and analytics as paramount to future business success.
Titles like AI Dungeon are already using generative AI to generate in-game content. Nobody knows who owns it.
OpenAI today announced the general availability of GPT-4, its latest text-generating model, through its API.
Starting this afternoon, all existing OpenAI API developers “with a history of successful payments” can access GPT-4. The company plans to open up access to new developers by the end of this month, and then start raising availability limits after that “depending on compute availability.”
“Millions of developers have requested access to the GPT-4 API since March, and the range of innovative products leveraging GPT-4 is growing every day,” OpenAI wrote in a blog post. “We envision a future where chat-based models can support any use case.”
Why aren’t there more robots in homes? This a surprising complex question — and our homes are surprisingly complex places. A big part of the reason autonomous systems are thriving on warehouse and factory floors first is the relative ease of navigating a structured environment. Sure, most systems still require a space be mapped prior to getting to work, but once that’s in place there tends to be little in the way of variation.
Homes, on the other hand, are kind of a nightmare. Not only do they vary dramatically from unit to unit, they’re full of unfriendly obstacles and tend to be fairly dynamic, as furniture is moved around or things are left on the floor. Vacuums are the most prevalent robots in the home, and they’re still being refined after decades on the market.
This week, researchers at MIT CSAIL are showcasing PIGINet (Plans, Images, Goal, and Initial facts), which is designed to bring task and motion planning to home robotic systems. The neural network is designed to help streamline their ability to create plans of action in different environments.