Menu

Blog

Archive for the ‘robotics/AI’ category

Dec 9, 2022

How AI found the words to kill cancer cells

Posted by in categories: biotech/medical, robotics/AI

Using new machine learning techniques, researchers at UC San Francisco (UCSF), in collaboration with a team at IBM Research, have developed a virtual molecular library of thousands of “command sentences” for cells, based on combinations of “words” that guided engineered immune cells to seek out and tirelessly kill cancer cells.

The work, published online Dec. 8, 2022, in Science, represents the first time such sophisticated computational approaches have been applied to a field that until now has progressed largely through ad hoc tinkering and engineering cells with existing—rather than synthesized—molecules.

The advance allows scientists to predict which elements—natural or synthesized—they should include in a cell to give it the precise behaviors required to respond effectively to complex diseases.

Dec 9, 2022

Competition-level code generation with AlphaCode

Posted by in category: robotics/AI

AI gradually taking over coding. Coders tryin to circle the wagons, but its already too late. AI coders will be best in world in probably mid 2025.


Modern machine learning systems can achieve average human-level performance in popular competitive programming contests.

Dec 8, 2022

Pentagon picked four tech companies to form $9B cloud computing network

Posted by in categories: military, robotics/AI, satellites

In a press conference that Ars attended today, Department of Defense officials discussed the benefits of partnering with Google, Oracle, Microsoft, and Amazon to build the Pentagon’s new cloud computing network. The multi-cloud strategy was described as a necessary move to keep military personnel current as technology has progressed and officials’ familiarity with cloud technology has matured.

Air Force Lieutenant General Robert Skinner said that this Joint Warfighting Cloud Capability (JWCC) contract—worth $9 billion—would help quickly expand cloud capabilities across all defense departments. He described new accelerator capabilities like preconfigured templates and infrastructure as code that will make it so that even “people who don’t understand cloud can leverage cloud” technologies. Such capabilities could help troops on the ground easily access data gathered by unmanned aircraft or space communications satellites.

“JWCC is a multiple-award contract vehicle that will provide the DOD the opportunity to acquire commercial cloud capabilities and services directly from the commercial Cloud Service Providers (CSPs) at the speed of mission, at all classification levels, from headquarters to the tactical edge,” DOD’s press release said.

Continue reading “Pentagon picked four tech companies to form $9B cloud computing network” »

Dec 8, 2022

Future of Humanity: AI & Robotics | Free Documentary

Posted by in categories: education, robotics/AI

Humanity Augmented: https://youtu.be/Hc2FMNMPiNQ

Mankind has always looked for ways to reduce manual labor and repetitive tasks. To that end, and in the absence of technology, civilization exploited various me-thods, often by taking advantage of their fellow humans. Robots, as a potential solution, have long fascinated mankind, capturing our imagination for centuries. Even in Greek mythology, the god Hephaestus had « mechanical » servants. But not until recently, has artificial intelligence finally progressed to a level that will become more and more life-changing for the future of humanity.
▬▬▬▬▬▬▬▬▬
Subscribe Free Documentary Channel for free: https://bit.ly/2YJ4XzQ
Instagram: https://instagram.com/free.documentary/
Facebook: https://bit.ly/2QfRxbG
Twitter: https://bit.ly/2QlwRiI
▬▬▬▬▬▬▬▬▬
#FreeDocumentary #Documentary #Robotics.
▬▬▬▬▬▬▬▬▬
Free Documentary is dedicated to bringing high-class documentaries to you on YouTube for free. With the latest camera equipment used by well-known filmmakers working for famous production studios. You will see fascinating shots from the deep seas and up in the air, capturing great stories and pictures from everything our beautiful and interesting planet has to offer.

Continue reading “Future of Humanity: AI & Robotics | Free Documentary” »

Dec 8, 2022

Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology Dataset

Posted by in categories: biotech/medical, robotics/AI

Latent diffusion models (LDMs), a subclass of denoising diffusion models, have recently acquired prominence because they make generating images with high fidelity, diversity, and resolution possible. These models enable fine-grained control of the image production process at inference time (e.g., by utilizing text prompts) when combined with a conditioning mechanism. Large, multi-modal datasets like LAION5B, which contain billions of real image-text pairs, are frequently used to train such models. Given the proper pre-training, LDMs can be used for many downstream activities and are sometimes referred to as foundation models (FM).

LDMs can be deployed to end users more easily because their denoising process operates in a relatively low-dimensional latent space and requires only modest hardware resources. As a result of these models’ exceptional generating capabilities, high-fidelity synthetic datasets can be produced and added to conventional supervised machine learning pipelines in situations where training data is scarce. This offers a potential solution to the shortage of carefully curated, highly annotated medical imaging datasets. Such datasets require disciplined preparation and considerable work from skilled medical professionals who can decipher minor but semantically significant visual elements.

Despite the shortage of sizable, carefully maintained, publicly accessible medical imaging datasets, a text-based radiology report often thoroughly explains the pertinent medical data contained in the imaging tests. This “byproduct” of medical decision-making can be used to extract labels that can be used for downstream activities automatically. However, it still demands a more limited problem formulation than might otherwise be possible to describe in natural human language. By prompting pertinent medical terms or concepts of interest, pre-trained text conditional LDMs could be used to synthesize synthetic medical imaging data intuitively.

Continue reading “Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology Dataset” »

Dec 8, 2022

How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta

Posted by in categories: neuroscience, robotics/AI

Have you ever wondered what makes you intelligent? How are you able to see, hear, think, read, sing, solve problems, and perform any number of intelligent tasks?

Your brain learns a model of the world, and this model recreates the structure of everything you know. Everything you do and experience is based on this model. Intelligence is the ability to create this model of the world.

Continue reading “How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta” »

Dec 8, 2022

The smallest robotic arm you can imagine is controlled by artificial intelligence

Posted by in categories: nanotechnology, particle physics, robotics/AI

Researchers used deep reinforcement learning to steer atoms into a lattice shape, with a view to building new materials or nanodevices.

In a very cold vacuum chamber, single atoms of silver form a star-like . The precise formation is not accidental, and it wasn’t constructed directly by either. Researchers used a kind of artificial intelligence called learning to steer the atoms, each a fraction of a nanometer in size, into the lattice shape. The process is similar to moving marbles around a Chinese checkers board, but with very tiny tweezers grabbing and dragging each atom into place.

The main application for deep is in robotics, says postdoctoral researcher I-Ju Chen. “We’re also building robotic arms with deep learning, but for moving atoms,” she explains. “Reinforcement learning is successful in things like playing chess or video games, but we’ve applied it to solve at the nanoscale.”

Dec 8, 2022

Student-made invisibility coat aims to hide wearers from AI cameras

Posted by in categories: information science, robotics/AI, security

The accuracy of pedestrian identification was reduced by 57% when the students tested the outfit on on-campus security cameras.

According to the South China Morning Post (SCMP), Chinese students have successfully developed a coat that can make people invisible to security cameras. So the SCMP story goes, the coat looks the same as regular camouflaged clothing, but it can trick digital cameras, especially ones with AI.

Continue reading “Student-made invisibility coat aims to hide wearers from AI cameras” »

Dec 8, 2022

Humans SHOULD Become Cyborgs

Posted by in categories: cyborgs, robotics/AI, transhumanism

In this video, I’m arguing that humans should become cyborgs and more about Transhumanism.

We are going to look at a few ideas which embrace the concept of artificial intelligence and cybernetics – the idea that we can fundamentally change the way that we think and interact with the world.

Dec 8, 2022

Exploring Large Language Models with ChatGPT

Posted by in category: robotics/AI

1 hour “interview” with ChatGPT.


Is OpenAI’s ChatGPT capable of having a coherent conversation? We find out in this special edition of the TWIML AI Podcast!

Continue reading “Exploring Large Language Models with ChatGPT” »

Page 1 of 1,44312345678Last