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Look behind the curtain: Don't be dazzled by claims of 'artificial intelligence'

#artificialintelligence

We are presently living in an age of "artificial intelligence" -- but not how the companies selling "AI" would have you believe. According to Silicon Valley, machines are rapidly surpassing human performance on a variety of tasks from mundane, but well-defined and useful ones like automatic transcription to much vaguer skills like "reading comprehension" and "visual understanding." According to some, these skills even represent rapid progress toward "Artificial General Intelligence," or systems which are capable of learning new skills on their own. Given these grand and ultimately false claims, we need media coverage that holds tech companies to account. Far too often, what we get instead is breathless "gee whiz" reporting, even in venerable publications like The New York Times.


Consciousness And Light

#artificialintelligence

Consciousness And Light Are Explored. The Inter Mind Bridges The Gap Between The Physical Mind And The Conscious Mind.


FlowBot3D: Robotic Learning 3D Articulation Flow to Manipulate Articulated Objects - Technology Org

#artificialintelligence

Understanding and manipulating articulated objects such as doors and drawers is a key skill for robots in human environments. However, it is difficult to train systems that generalize to variations of those objects. The sensory signal comes from an Azure Kinect depth camera, and the agent is a Sawyer BLACK robot. A novel per-point representation of the articulation structure of an object is proposed, called 3D Articulation Flow. A newly-developed 3D vision neural network architecture takes as input a static 3D point cloud and predicts the 3D Articulation Flow of the input under articulation motion.


How AI Algorithms can Detect Diseases with Deep Learning

#artificialintelligence

Diseases like breast and skin cancer can be detected with close to 100% accuracy with the help of deep learning. In simple terms, artificial intelligence (AI) is the ability of a digital computer (or computer-controlled robot) to perform certain tasks with intelligence. AI tends to mimic human intelligence in that it relies on the ability to reason, learn from experience, and make decisions. Learning, reasoning, and problem-solving are the building blocks of artificial and human intelligence. Artificial intelligence has branches or categories such as machine learning and deep learning, which both involve the imitation of human intelligence.


'Nanomagnetic' computing can provide low-energy AI

#artificialintelligence

The new method, developed by a team led by Imperial College London researchers, could slash the energy cost of artificial intelligence (AI), which is currently doubling globally every 3.5 months. In a paper published today in Nature Nanotechnology, the international team have produced the first proof that networks of nanomagnets can be used to perform AI-like processing. The researchers showed nanomagnets can be used for'time-series prediction' tasks, such as predicting and regulating insulin levels in diabetic patients. Artificial intelligence that uses'neural networks' aims to replicate the way parts of the brain work, where neurons talk to each other to process and retain information. A lot of the maths used to power neural networks was originally invented by physicists to describe the way magnets interact, but at the time it was too difficult to use magnets directly as researchers didn't know how to put data in and get information out.


Consciousness And Light

#artificialintelligence

Consciousness And Light Are Explored. The Inter Mind Bridges The Gap Between The Physical Mind And The Conscious Mind.


The basics of artificial intelligence - Dataconomy

#artificialintelligence

Today, we look at the basics of artificial intelligence, which permeates almost every aspect of our lives. This article will explore the main concepts revolving around artificial intelligence and the answers to frequently asked questions without getting into technical complexities as much as possible. Artificial intelligence (AI) is a field of computer science that focuses on developing smart machines capable of accomplishing tasks that require human intellect. Most people immediately think of Artificial General Intelligence (AGI) when they hear about AI. It can perform anything that a human being can, but it does so far superior. However, the fact is that we are nowhere near to creating one.


AIhub coffee corner: AI and consciousness

AIHub

This month, we get stuck into AI and consciousness. This topic has long been much-discussed, and especially so recently with one tweet in particular sparking a debate online. Joining the discussion this time are: Tom Dietterich (Oregon State University), Stephen Hanson (Rutgers University), Sabine Hauert (University of Bristol), Holger Hoos (Leiden University), Sarit Kraus (Bar-Ilan University) and Michael Littman (Brown University). Stephen Hanson: So, the topic of consciousness has come up a lot recently in discussions on the Connectionists. This area of cognitive science was pretty much wiped out in the first five years of NeurIPS [Conference on Neural Information Processing Systems].


A Laymen's Guide To Neural Networks - AI Summary

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Understanding neural networks better will get you further toward comprehending how computers are coming to life all around us and starting to make evermore complicated decisions in all sorts of scenarios. Biological models show the unique build of this type of cell, but often don't really map out the activity paths that guide neurons to send signals on through various levels. The article also talks about other kinds of specialization – for instance, a "neural engine" in an Apple GPU – and how so much of the work of the new processor groups consists of specific delegation, allowing devices to truly multi-task – to send tasks to the chips and cores through which they are best served. He also elaborates on some of the background through which neural networks came into being – for example, the work of algorithm scientists Claude Shannon and remarkable mathematician and AI pioneer Alan Turing in the mid-20th century. In addition to recommendation engines and the sorting and selecting of good data from a big background field, neural networks are learning to really imitate human intelligence to a high degree.


Forecasting Energy Demand Using a Long Short-Term Memory Network

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The datasets I worked with were a combination of publically-available information on weather and load for regions covered by ISO New England, the corporation responsible for distributing energy across the 6 New England states. I used hourly data from October 2018 to present, which at the time of this project constituted 3 years of data. Since the regions controlled by ISO-NE were likely to have different energy demands due to each area's specific geographical attributes, I decided to simplify the problem by honing in on only one of the 8 regions. I selected the Connecticut ISO zone. The challenge at hand was to see if I could accurately forecast one-hour-ahead load for the Connecticut ISO zone given past values of the features I had available.