If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In an interview last year at the Canadian Undergraduate Conference on AI, Zilis said she has spent several years focusing on "AI unfolding in the world in the best way possible." Introduced as a project director in the office of the CEO at Neuralink, she explained that Neuralink is working to solve brain and spine problems in the short term.
Researchers at the Indian Institute of Science (IISc) have developed a design framework to build next-generation analog computing chipsets that could be faster and require less power than the digital chips found in most electronic devices. Using their novel design framework, the team has built a prototype of an analog chipset called ARYABHAT-1 (Analog Reconfigurable technologY And Bias-scalable Hardware for AI Tasks). This type of chipset can be especially helpful for Artificial Intelligence (AI)-based applications like object or speech recognition--think Alexa or Siri--or those that require massive parallel computing operations at high speeds. Most electronic devices, particularly those that involve computing, use digital chips because the design process is simple and scalable. "But the advantage of analog is huge. You will get orders of magnitude improvement in power and size," explains Chetan Singh Thakur, assistant professor at the Department of Electronic Systems Engineering (DESE), IISc, whose lab is leading the efforts to develop the analog chipset.
Recently, Nvidia released a new report called the State of AI in Financial Services. To learn more, I caught up with Pahal Patangia, Global Developer Relations Lead for Consumer Fintech at Nvidia. Below is the transcript of our conversation (slightly edited for clarity). Theodora: Now, I know oftentimes when we think about Nvidia, we think about graphics cards. Nvidia is also a full stack, accelerated computing platform company that has been in the financial services space for 15 years.
Planning problems are, in general, PSPACE-complete; large problems, especially multi-agent problems with required coordination, can be intractable or impractical to solve. Factored planning and multi-agent planning both address this by separating multi-agent problems into tractable sub-problems, but there are limitations in the expressivity of existing planners and in the ability to handle tightly coupled multi-agent problems. This paper presents EGOPLAN, a framework which factors a multi-agent problem into related sub-problems which are solved by iteratively calling on a single agent planner. EGOPLAN is evaluated on a multi-robot test domain with durative actions, required coordination, and temporal constraints, comparing the performance of a temporal planner, OPTIC-CPLEX, with and without EGOPLAN. Our results show that for our test domain, using EGOPLAN allows OPTIC-CPLEX to solve problems that are twice as complex as it can solve without EGOPLAN, and to solve complex problems significantly faster.
There is a church that worships artificial intelligence (AI). Zealots believe that an extraordinary AI future is inevitable. The technology is not here yet, but we are assured that it's coming. We will have the ability to be uploaded onto a computer and thereby achieve immortality. You will be reborn into a new, immortal silicon body.
The introduction of artificial intelligence in the banking sector makes banks efficient, helpful and more understanding. The growing impact of AI in this sector reduces operational costs, improves customer support and process automation. AI-based applications help banks by reducing costs thereby increasing productivity. Also, intelligent algorithms are able to spot inconsistency and fraudulent information in a matter of seconds. According to reports, nearly 80 percent of banks are aware of the potential benefits that AI presents to their sector.
Militaries are responding to the call. NATO announced on June 30 that it is creating a $1 billion innovation fund that will invest in early-stage startups and venture capital funds developing "priority" technologies such as artificial intelligence, big-data processing, and automation. Since the war started, the UK has launched a new AI strategy specifically for defense, and the Germans have earmarked just under half a billion for research and artificial intelligence within a $100 billion cash injection to the military. "War is a catalyst for change," says Kenneth Payne, who leads defense studies research at King's College London and is the author of the book I, Warbot: The Dawn of Artificially Intelligent Conflict. The war in Ukraine has added urgency to the drive to push more AI tools onto the battlefield.
Everyone wants to be their best. And what works for some people, won't always work for others. Which is why, for a more personalized approach, people have begun turning to the Ultiself biohacker routine planner app. Ultiself is an AI powered app that determines your best habits and then creates a personalized daily routine to help you become the best person you can be. With it, you can increase your productivity by as much as ten times, you'll feel more focused, and improve your confidence too.
Microneedles (MNs) introduced a novel injection alternative to conventional needles, offering a decreased administration pain and phobia along with more efficient transdermal and intradermal drug delivery/sample collecting. 3D printing methods have emerged in the field of MNs for their time- and cost-efficient manufacturing. Tuning 3D printing parameters with artificial intelligence (AI), including machine learning (ML) and deep learning (DL), is an emerging multidisciplinary field for optimization of manufacturing biomedical devices. Herein, we presented an AI framework to assess and predict 3D-printed MN features. Biodegradable MNs were fabricated using fused deposition modeling (FDM) 3D printing technology followed by chemical etching to enhance their geometrical precision. DL was used for quality control and anomaly detection in the fabricated MNAs. Ten different MN designs and various etching exposure doses were used create a data library to train ML models for extraction of similarity metrics in order to predict new fabrication outcomes when the mentioned parameters were adjusted. The integration of AI-enabled prediction with 3D printed MNs will facilitate the development of new healthcare systems and advancement of MNs’ biomedical applications.