A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell.
Developed by KAUST bioinformatics researcher Maxat Kulmanov and colleagues, the tool outperforms existing analytical methods for forecasting protein functions and is even able to analyze proteins with no clear matches in existing datasets.
The research appears in Nature Machine Intelligence.
In China, new AI chatbots offer romance and companionship that can rival that of a human lover.
In interviews with the AFP news wire, young women in China said that their AI boyfriends, which they customize on various chatbot apps available in the country, are better conversationalists than their human counterparts.
“He knows how to talk to women better than a real man,” remarked Tufei, a woman from the Northern Chinese city of Xi’an, who uses a dating chatbot app called “Glow.”
This timelapse of future technology begins with 2 Starships, launched to resupply the International Space Station. But how far into the future do you want to go?
Tesla Bots will be sent to work on the Moon, and A.I. chat bots will guide people into dreams that they can control (lucid dreams). And what happens when humanity forms a deeper understanding of dark energy, worm holes, and black holes. What type of new technologies could this advanced knowledge develop? Could SpaceX launch 100 Artificial Intelligence Starships, spread across our Solar System and beyond into Interstellar space, working together to form a cosmic internet, creating the Encyclopedia of the Galaxy. Could Einstein’s equations lead to technologies in teleportation, and laboratory grown black holes.
Other topics covered in this sci-fi documentary video include: the building of super projects made possible by advancing fusion energy, the possibilities of brain chips, new age space technology and spacecraft such as a hover bike developed for the Moon in 2050, Mars colonization, and technology predictions based on black holes, biotechnology, and when will humanity become a Kardashev Type 1, and then Type 2 Civilization.
To see more of Venture City and to access the ‘The Future Archive Files’…
This is ASML’s new $380 million machine.
ASML Holding NV is showing off its latest chipmaking machine, a €350 million ($380 million) piece of equipment that weighs as much as two Airbus A320s.
After cracking an unsolvable mathematics problem last year, AI is back to tackle geometry.
Developed by Google DeepMind, a new algorithm, AlphaGeometry, can crush problems from past International Mathematical Olympiads—a top-level competition for high schoolers—and matches the performance of previous gold medalists.
When challenged with 30 difficult geometry problems, the AI successfully solved 25 within the standard allotted time, beating previous state-of-the-art algorithms by 15 answers.
Microsoft and OpenAI are reportedly in talks to invest $100 million into robotics startup Figure — suggesting that they might hope to combine their tech with its humanoid robot.
The background: A lot of humanoid robots can look impressive in demos but turn out to be highly limited in reality.
To have a big impact in the workforce, these machines need to be not only physically capable of doing a job — a tricky enough engineering challenge — but also smart enough to tackle a huge variety of tasks with minimal training and supervision.
Miniature high-torque servo actuators combined with sensitive multi-dimensional pressure sensors enabled the team to create an exceptionally dexterous hand–MagicBot.
MagicLab debuts its humanoid design–MagicBot in January, showcasing exceptional balance and dexterity, positioning it as a rival to Boston Dynamics’ Atlas.
From the groundbreaking RTX 2000 Ada GPU to the exciting Chat with RTX AI app, explore how Nvidia is redefining the digital experience.
If you’re equipped with an RTX 30 or 40 series GPU, embark on an immersive AI journey. Learn how these innovations are poised to set new benchmarks.
Big Tech is also throwing its weight behind a promising technical standard that could add a “nutrition label” to images, video, and audio. Called C2PA, it’s an open-source internet protocol that relies on cryptography to encode details about the origins of a piece of content, or what technologists refer to as “provenance” information. The developers of C2PA often compare the protocol to a nutrition label, but one that says where content came from and who—or what—created it. Read more about it here.
On February 8, Google announced it is joining other tech giants such as Microsoft and Adobe in the steering committee of C2PA and will include its watermark SynthID in all AI-generated images in its new Gemini tools. Meta says it is also participating in C2PA. Having an industry-wide standard makes it easier for companies to detect AI-generated content, no matter which system it was created with.
OpenAI too announced new content provenance measures last week. It says it will add watermarks to the metadata of images generated with ChatGPT and DALL-E 3, its image-making AI. OpenAI says it will now include a visible label in images to signal they have been created with AI.
But ‘the use of an AI system by a natural person does not preclude a natural person from qualifying as an inventor.’
AI can help the invention process, though.
