Artificial intelligence history

Artificial Intelligence
The term artificial intelligence was coined in 1956, but AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage.

The term artificial intelligence was coined in 1956, but AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage.

Early AI research in the 1950s explored topics like problem solving and symbolic methods. In the 1960s, the US Department of Defense took interest in this type of work and began training computers to mimic basic human reasoning. For example, the Defense Advanced Research Projects Agency (DARPA) completed street mapping projects in the 1970s. And DARPA produced intelligent personal assistants in 2003, long before Siri, Alexa or Cortana were household names.

This early work paved the way for the automation and formal reasoning that we see in computers today, including decision support systems and smart search systems that can be designed to complement and augment human abilities.

While Hollywood movies and science fiction novels depict AI as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary – or quite that smart. Instead, AI has evolved to provide many specific benefits in every industry. Keep reading for modern examples of artificial intelligence in health care, retail and more.

Chess board and Neural Network graphic

1950s–1970s

Neural networks

Early work with neural networks stirs excitement for “thinking machines.”

Shapes and arrow graphic with classical and modern machine learning

1980s–2010s

Machine learning

Machine learning becomes popular.

Binary code on dark background with magnifying glass graphic

Present day

Deep learning breakthroughs drive AI boom.
AI has been an integral part of PSS software for years.
Today we help customers in every industry capitalize on advancements in AI,
and we’ll continue embedding AI technologies like machine learning and deep
learning in solutions across the PSS portfolio.

Tom Ellis CEO PSS

Share:

Share on facebook
Facebook
Share on twitter
Twitter
Share on pinterest
Pinterest
Share on linkedin
LinkedIn

Leave a Reply

Related Posts

drowning

Drowning

Drowning is the 3rd leading cause of unintentional injury death worldwide, accounting for 7% of all injury-related deaths.

Pose-Estimation-blog

Deep learning based human pose estimation

Pose estimation is calculated by using computer vision to detect the position and orientation of an object. This usually means detecting key point locations that describe the object.

deep learning

Deep learning

Deep learning is a type of that trains a computer to perform human-like tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations

Artificial Intelligence

Artificial intelligence history

The term artificial intelligence was coined in 1956, but AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage.

Stay in Touch

Subscribe or updates and get them direct in your email

The artificial intelligence uses frame by frame comparison to detect an object that was not previously there or the disappearance of an object from the field of view.  It learns what ‘normal’ looks like and spots differences.  In ‘Supervised’ mode, alerts to objects such as pool toys or outdoor furniture being moved will be suppressed to avoid false alarms.  When you leave the pool area a new ‘normal’ is established.

By using a combination of two cameras, one to identify individuals as they enter the designated area and the other to monitor the whole area, the artificial intelligence can keep track of an identified individual for as long as they remain within the field of view.  Both cameras are connected to the same processor so the first can pass the identity to the second, allowing the second to continue showing the identity of the individual even when their face is not visible to the camera.

In case you are concerned about privacy, be assured that nobody sees the feed from your camera unless an emergency is detected and not acknowledged locally.  Instead, the artificial intelligence identifies key points on the human body such as shoulders, elbows, wrists, hips, knees and ankles.  It uses the relative position of these key points to determine the pose of the body and has been trained to recognise poses that indicate danger. 

‘Supervised’ mode is designed for use when swimming is planned, with a responsible adult present.  It won’t bother you with constant alerts as people enter the area but the system will still raise the alarm if someone disappears underwater for longer than you have deemed acceptable. 

We strongly encourage use of a Pool Angel lanyard during such sessions so that there is no doubt over who has assumed responsibility for keeping watch over children in the pool.  Child drownings can happen even with multiple adults present if they all assume that someone else is paying attention.  Pool Angel offers you an added layer of protection; by comparing the number of people detected frame by frame, the artificial intelligence can spot when someone is missing and raise the alarm.    

Because the artificial intelligence can learn from experience it can learn to tell the difference between your pet and local wildlife that might encroach on your pool area.  This means that you can keep your pets safe without being disturbed by false alarms during the night when animals may encroach on your pool area; although you might be intrigued to view clips of your nocturnal visitors in the morning.  A short video clip is stored each time something is detected.

If an adult is detected in the pool area the system will alert you and prompt you to switch to ‘Supervised’ mode if you haven’t already done so.  This mode is designed for planned use of the pool and will suppress alerts to entry and exit from the pool area.  When the last adult leaves the area the system detects that too and prompts you to switch back to keeping watch over the empty pool.  An emergency alarm is raised if the departure of that adult leaves an unsupervised child in the pool area.

Although we refer to the boundary around a swimming pool, the camera can be used to keep watch over any boundary you designate. It can keep watch over a trampoline, climbing frame, the tool shed, any area that could present a danger to unsupervised children. By comparing what was present in a previous frame with what is currently in frame, the artificial intelligence can detect the arrival of something or someone new in the designated area.