БЛОГ

Archive for the ‘information science’ category: Page 16

Oct 7, 2023

Stanford introduces autonomous robot dogs with AI brains

Posted by in categories: information science, robotics/AI

There’s a new kind of robot dog in town and it gets its prowess from an artificial intelligence (AI) algorithm.

An AI algorithm for a brain

The new vision-based algorithm, according to AI researchers at Stanford University and Shanghai Qi Zhi Institute who lead these efforts, enables the robodogs to scale tall objects, jump across gaps, crawl under low-hanging structures, and squeeze between cracks. This is because the robodog’s algorithm serves as its brain.

Oct 6, 2023

Researchers create a neural network for genomics that explains how it achieves accurate predictions

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

A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks—the engines that drive artificial intelligence and machine learning—thereby illuminating a process that has largely been concealed from users.

The breakthrough centers on a specific usage of that has become popular in recent years—tackling challenging biological questions. Among these are examinations of the intricacies of RNA splicing—the focal point of the study—which plays a role in transferring information from DNA to functional RNA and protein products.

“Many neural networks are —these algorithms cannot explain how they work, raising concerns about their trustworthiness and stifling progress into understanding the underlying biological processes of genome encoding,” says Oded Regev, a computer science professor at NYU’s Courant Institute of Mathematical Sciences and the senior author of the paper, which was published in the Proceedings of the National Academy of Sciences.

Oct 6, 2023

For the first time scientists observe the creation of matter from light

Posted by in categories: energy, information science

One of the most fascinating implications of Einstein’s famous equation E=mc2 is that matter and energy are interchangeable.

Oct 6, 2023

New technique based on 18th-century mathematics shows simpler AI models don’t need deep learning

Posted by in categories: information science, mathematics, media & arts, robotics/AI

Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics. They also found that classical training algorithms that date back 50 years work better than the more recently popular techniques. Their simpler approach advances green IT and is easier to use and understand.

The recent success of artificial intelligence is significantly based on the use of one core technique: . Deep learning refers to techniques where networks with a large number of data processing layers are trained using massive datasets and a substantial amount of computational resources.

Deep learning enables computers to perform such as analyzing and generating images and music, playing digitized games and, most recently in connection with ChatGPT and other generative AI techniques, acting as a conversational agent that provides high-quality summaries of existing knowledge.

Oct 5, 2023

Likewise debuts Pix, an AI chatbot for entertainment recommendations

Posted by in categories: entertainment, finance, information science, robotics/AI

Likewise, the company behind an app that can recommend your next TV binge, movie to watch, podcast to stream or book to read, is out today with its own entertainment-focused AI companion, Pix. Built using a combination of Likewise’s own customer data and technology from partner OpenAI, Pix can make entertainment recommendations and answer other questions via text message or email, or by communicating with Pix within the Pix mobile app, website or even by speaking to Pix’s TV app using a voice remote.

Founded in 2017 by former Microsoft communications chief Larry Cohen with financial backing from Bill Gates, the recommendations startup aims to offer an easy way for people to discover new TV shows, movies, books, podcasts and more, as well as follow other users and make lists of their favorites to share. While today, recommendations are often baked into the streaming services or apps we use to play our entertainment content, Likewise maintains a registered user base of more than 6 million, and over 2 million monthly active users.

To build Pix, the company leveraged around 600 million consumer data points along with machine learning algorithms, as well as the natural language processing technology of OpenAI’s GPT 3.5 and 4. To work, the AI chatbot learns the preferences of the individual user and then provides them with personalized recommendations — similar to Likewise itself. In addition, the bot will reach out to users when new content becomes available that matches their interests.

Oct 5, 2023

Start of the Fully Fault Tolerant Age of Quantum Computers

Posted by in categories: computing, information science, quantum physics

Without full fault tolerance in quantum computers we will never practically get past 100 qubits but full fault tolerance will eventually open up the possibility of billions of qubits and beyond. In a Wright Brothers Kittyhawk moment for Quantum Computing, a fully fault-tolerant algorithm was executed on real qubits. They were only three qubits but this was never done on real qubits before.

This is the start of the fully fault tolerant age of quantum computers. For quantum computers to be the real deal of unlimited computing disruption then we needed full fault tolerance on real qubits.

Oct 4, 2023

Real-world study confirms reliability of tool assessing 10-year risk prediction of heart disease

Posted by in categories: biotech/medical, information science

ROCHESTER, Minn. — A recent study based on real-world community patient data confirms the effectiveness of the Pooled Cohort Equation (PCE), developed by the American Heart Association and the American College of Cardiology in 2013. The PCE is used to estimate a person’s 10-year risk of developing clogged arteries, also known as atherosclerosis, and guide heart attack and stroke prevention efforts. Study findings are published in the Journal of the American College of Cardiology.

The new study highlights to patients and clinicians the continued reliability and effectiveness of the PCE as a tool for assessing cardiovascular risk, regardless of statin use to lower cholesterol.

The PCE serves as a shared decision-making tool for a clinician and patient to evaluate their current status in preventing atherosclerotic cardiovascular disease. The calculator considers input in the categories of gender, age, race, total cholesterol, HDL cholesterol, systolic blood pressure, treatment for high blood pressure, diabetes status, and smoking status.

Oct 4, 2023

Using Artificial Intelligence to Personalize Liver Cancer Treatment

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

For more information on liver cancer treatment or #YaleMedicine, visit: https://www.yalemedicine.org/stories/artificial-intelligence-liver-cancer.

With liver cancer on the rise (deaths rose 25% between 2006 and 2015, according to the CDC), doctors and researchers at the Yale Cancer Center are highly focused on finding new and better treatment options. A unique collaboration between Yale Medicine physicians and researchers and biomedical engineers from Yale’s School of Engineering uses artificial intelligence (AI) to pinpoint the specific treatment approach for each patient. First doctors need to understand as much as possible about a particular patient’s cancer. To this end, medical imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) are valuable tools for early detection, accurate diagnosis, and effective treatment of liver cancer. For every patient, physicians need to interpret and analyze these images, along with a multitude of other clinical data points, to make treatment decisions likeliest to lead to a positive outcome. “There’s a lot of data that needs to be considered in terms of making a recommendation on how to manage a patient,” says Jeffrey Pollak, MD, Robert I. White, Jr. Professor of Radiology and Biomedical Imaging. “It can become quite complex.” To help, researchers are developing AI tools to help doctors tackle that vast amount of data. In this video, Julius Chaprio, MD, PhD, explains how collaboration with biomedical engineers like Lawrence Staib, PhD, facilitated the development of specialized AI algorithms that can sift through patient information, recognize important patterns, and streamline the clinical decision-making process. The ultimate goal of this research is to bridge the gap between complex clinical data and patient care. “It’s an advanced tool, just like all the others in the physician’s toolkit,” says Dr. Staib. “But this one is based on algorithms instead of a stethoscope.”

Oct 4, 2023

AI co-pilot enhances human precision for safer aviation

Posted by in categories: information science, mapping, robotics/AI, transportation

Imagine you’re in an airplane with two pilots, one human and one computer. Both have their “hands” on the controllers, but they’re always looking out for different things. If they’re both paying attention to the same thing, the human gets to steer. But if the human gets distracted or misses something, the computer quickly takes over.

Meet the Air-Guardian, a system developed by researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). As modern pilots grapple with an onslaught of information from multiple monitors, especially during critical moments, Air-Guardian acts as a proactive co-pilot; a partnership between and machine, rooted in understanding .

But how does it determine attention, exactly? For humans, it uses eye-tracking, and for the , it relies on something called “saliency maps,” which pinpoint where attention is directed. The maps serve as visual guides highlighting key regions within an image, aiding in grasping and deciphering the behavior of intricate algorithms. Air-Guardian identifies early signs of potential risks through these attention markers, instead of only intervening during safety breaches like traditional autopilot systems.

Oct 3, 2023

What Constitutes Your Stream of Consciousness?

Posted by in categories: information science, mobile phones, neuroscience, singularity

It wouldn’t shock me if all the buzz around searching for the ‘locus of consciousness’ merely fine-tunes our grasp of how the brain is linked to consciousness — without actually revealing where consciousness comes from, because it’s not generated in the brain. Similarly, your smartphone doesn’t create the Internet or a cellular network; it just processes them. Networks of minds are a common occurrence throughout the natural world. What sets humans apart is the impending advent of cybernetic connectivity explosion that could soon evolve into a form of synthetic telepathy, eventually leading to the rise of a unified, global consciousness — what could be termed the Syntellect Emergence.

#consciousness #phenomenology #cybernetics #cognition #neuroscience


In summary, the study of consciousness could be conceptualized through a variety of lenses: as a series of digital perceptual snapshots, as a cybernetic system with its feedback processes, as a grand theater; or perhaps even as a VIP section in a cosmological establishment of magnificent complexity. Today’s leading theories of consciousness are largely complementary, not mutually exclusive. These multiple perspectives not only contribute to philosophical discourse but also herald the dawn of new exploratory avenues, equally enthralling and challenging, in our understanding of consciousness.

Continue reading “What Constitutes Your Stream of Consciousness?” »

Page 16 of 280First1314151617181920Last