Day: January 30, 2023
Why You Need AI & ML in Your Digital Infrastructure – IT Brief Australia
How good would it be if your data centre was smart enough to help you proactively optimise your operations? Well, the good news is artificial intelligence (AI) and machine learning (ML) technologies are making digital infrastructure smarter and more intuitive. To create real customer value, let’s look at how AI/ML models are being used in…
Artificial Intelligence joins search for extraterrestrial intelligence: Breakthrough Listen – Indiatimes.com
BENGALURU: Breakthrough Listen — the initiative to find “techno-signatures”, or signs of intelligent life in the universe — on Monday announced the results from a new method of searching data driven by artificial intelligence. In a paper published in the journal Nature Astronomy, the team analyse 480 hours of data from the Green Bank Telescope…
Artificial Intelligence May Be Our Best Tool to Find Alien Life – The Daily Beast
Space is really, really big. And that makes it really, really hard to search for aliens. So many stars, planets and weird interstellar objects; so little time.A team led by University of Toronto astronomer Peter Ma wants to speed up our hunt for E.T. and make space feel a little smaller. The plan, which Ma…
AI System Detects Strange Signals of Unknown Origin in Radio Data – ScienceAlert
Some 540 million years ago, diverse life forms suddenly began to emerge from the muddy ocean floors of planet Earth. This period is known as the Cambrian Explosion, and these aquatic critters are our ancient ancestors.All complex life on Earth evolved from these underwater creatures. Scientists believe all it took was an ever-so-slight increase in…
Is Brain Learning Weaker Than Artificial Intelligence? – Neuroscience News
Summary: Artificial neural networks based on human brain dynamics can outperform current deep learning models in learning capabilities.Source: Bar-Ilan UniversityTraditionally, artificial intelligence stems from human brain dynamics. However, brain learning is restricted in a number of significant aspects compared to deep learning (DL). First, efficient DL wiring structures (architectures) consist of many tens of feedforward…
DoD Chief Digital and Artificial Intelligence Office Hosts Global … – Department of Defense
The Chief Digital and Artificial Intelligence Office (CDAO) has relaunched a series of Global Information Dominance Experiments, known as GIDE, in partnership with the Joint Chiefs of Staff (JCS). The experimentation team is comprised of U.S. military and civilian personnel from all service branches and multiple combatant commands, marking the first time the Department of…
NIST Releases Its Artificial Intelligence Risk Management … – Wilson Sonsini Goodrich & Rosati
On January 26, 2023, the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) released its Artificial Intelligence Risk Management Framework (AI RMF). The AI RMF is intended to provide a resource to organizations designing, developing, deploying, or using AI systems to manage risks and promote trustworthy and responsible development and use of AI…
Bowdoin’s Nascimento Discusses Artificial Intelligence on “Maine … – Bowdoin College
Fernando Nascimento is a scholar of digital and computational studies, hermeneutics, and ethics. On January 30, Nascimento was joined by Amanda Stent, director of Colby College’s Davis Institute for AI, to talk about the many ways in which AI touches our lives, as well as the risks and benefits of this rapidly developing technology. Nascimento said it…
Lawmakers seek rules for artificial intelligence | Local News … – The Daily News of Newburyport
BOSTON — Artificial intelligence tools are being used by companies to produce a range of documents from term papers to home mortgages, but the technology has raised concerns about plagiarism, misinformation, racism and other harms.As such, Beacon Hill lawmakers are pushing for new regulations to prevent the emerging machine-learning technology from being abused.One proposal, filed…
Artificial intelligence can help patients interpret home tests for COVID-19 – Medical Xpress
Credit: Pixabay/CC0 Public Domain New machine learning research led by George Mason University’s Professor Farrokh Alemi and Professor Janusz Wojtusiak provides a way for patients and clinicians to better predict whether symptoms are due to COVID-19, influenza, or RSV. A more accurate diagnosis leads to better decisions on course of care to heal patients and…