AI Rescues Profile
Version 2.5
Saturday, October 21st
3 pm
9 November V 2.75 at 2:45 pm
Artificial Intelligence (AI) Rescues are planned. AI offer’s considerable benefits for rescuing humans and animals, dead or alive, globally.
Assets enabled with Artificial Intelligence potentially, provided significant capabilities for each and rescue (SAR).
Philanthropists, wanted and needed to support AI rescues.
Help make a better world, is the mindset, mission and focus of aiRescues.
The entrepreneurial executive team of aiRescue has secured the domain (universal markup language URL): www.airesucues.org for nonprofit organization and .com for profit entity. Startups, are under creation, finalization and development.
Headquarter planned for Washington DC with regional offices domestically in United States similar to Federal Energy Management Agency (FEMA 10 Regional) and globally.
aiRescue planning to augment others (First responders, etc.) Providing artificial intelligence support selectly. Predominantly, aiRescue will prefer and perform rescue missions, for individuals and groups, independently. The plan is to be completely self-sufficient.
Food, beverages and temporary shelters, including overnight accomodations on-location for humans is planned.
Command and Control, is planned for mobility. Decision support, permits and authorizations enabled from many locations globally.
Code-blue, in many emergency situations, fastest, prompt response is imperative. Authorization for ground transportation vehicles to utilize vehicles emergency lights and sirens is planned. Potentially response vehicles are expected to travel as fast as 130 mph, reportedly going from 0 to 60 mph in about 3 seconds.
Deployment of aiRescue is planned upon request. US President, US State Governors, City Mayors domestically is planned. International, aiRescues requesting by Prime Ministers, Kings and other high-ranking individuals are planned. Individuals (especially philanthropists) can request rescues.
Rescues capacity is planned for scalability. aiRescue for one -to- million or more is contemplated.
Special new assets for rescue activities are planned. Humanoid’s (Robots) electric vehicles many different types equipped with Artificial Intelligence (AI) and/or physically operating by artificial intelligence is planned.
Assets are not planned to be sold, not directly purchasable. Original equipment manufacturers (IEMs), are likely to enable direct purchases.
Technology refresh,is planned as good procurement process and procedures. Hardware, software and services contracts, impact the viability and capabilities of assets. Special consideration and arrangements are expected including provisioning of communications, in-remote and un-covered locations.
Land and water aiRescues capabilities are planned. Assets selected and manufactured by others is planned. On and off-road vehicles planned (most electrical propelled). Vertically integrated assets from multiple companies are planned. Recreational vehicles assets planned, including special narrow Rovers and compact track loaders (CTLs).
On-water and in-water (flooding) aiRescues, planning for using landing craft boats (opening-bows), personal water crafts (search and rescue type) and electric vehicle with aquatic capabilities.
aiRescues plans included weather related rescues. Rapidly changing conditions have (miles of stranded motorist on roads) and expect reoccurrence weather related rescues needs.
All-weather assets (including: retrofits for tracks) are planned.operablity of aiRescues, not negatively interfering with rescheduling capabilities.
Consumable commodities, water and ice support planned related to rescues. Refrigeration for medical purposes medicines that are temperature sensitive, is planned.
In some situations, aiRescues focused efforts on providing products. Bi-directional logistics planning, bring in to negatively affected areas commodities for sustaining human life and evacuating humans the other direction. Movement from and to save zones. Final temporary locations transportation planned.
Opt-in programs enable contributors to provide assets beneficial to the aiRescues. Immediate and temporary insurance another identifications provided to asset owners. Restoration including decontamination as necessary plan for purchase of asset and replacement program planned.
Pets and other animals aiRescues plans included animals. Temporary handling pets and other animals planned with artificial intelligence supporting reunification with others and release the wild, including ongoing multimedia visual support.
Customizations and modifications of assets: in-shops and on-location is planned.
High-resolution imagery (4-to-8K) his planned. Real-time sharing of high resolution video imagery planned including 360° views fir situational awareness with imagery including multimedia visual and audio (high-quality microphones) is planned.
Multimedia studio, in-Cloud, on-location and other is planned. Imagery aggregation and production support planning considerations planned. Streaming relevant content is planned, including processing for social media channels real-time dissemination.
Redundancy is planned, semi-fixed assets mounted on vehicles (including recreational vehicles) planned and portable redundant systems in durable cases is planned for deployment separate from vehicles (leave-behind).
Executive protection, fully supported executive protection programs. Pre-arranged protection of individuals are prioritized with advanced tracking and rescue planning.
Privacy in every possible manner is planned. Individuals can remain anonymous. No detailed imagery is shared without full authorization. Coded identification of individuals for privacy is planned.
Financial considerations for missions to be determined on a case-by-case basis. Each aiRescue is planned to be separate and independent. Complete online, password protected, book-keeping is planned with timely updates, summarized reporting of all financial activities including in-kind donations and volunteerism. Privacy respected as requested.
Donations to nonprofit organization, cash and in-kind (physical assets including vehicles) to be requested, following all legal and regulations. Pre-developing, training and other logistical consideration planned.
Volunteerism, skilled and talented individuals can and are expected to participate. Philanthropic, supporting and activities are imperative for success. Anonymous donation and participation are supported. High-profile public relations (PR) supported. Planning on working with publicist for celebrity participation.
Some rescues are expected to be extremely high-profile newsworthy events globally.
Autonomously operated transportation vehicles are planned, transporting products and people (humans: rescue & support teams). Authorization to operate without humans secured before operating vehicles on public roads. Passive human drivers are planned, for vehicle operating on public roads.
Hazardous environments, for humans, indoors and outside are expected. Hazardous conditions are expected it occurring in many different ways, a wide range of hazardous conditions can occur, and changing conditions are expected to occur.
Scientific intelligence with advanced scientific instruments planned. Instruments for every conceivable condition are planned. Everything from air and water quality. Planning digital Microscope for on-site human blood testing.
Advanced space communications system is planned. High-speed video supported communication worldwide planned
Portable energy storage capabilities are planned, including recharging capabilities by solar and independent mirco-turbine systems biofuel pellets augmentation planned.
Geolocation providing precise location is planned with utilization of third-party application technology. Uniquely addressed 57 trillion squares globally land and water. Longitude and latitude information sharing planned.
Desalinization and water purification portable systems are planned for unlimited drinking water and other purposes.
Decontamination capabilities are planned.
Tethered air and underwater drones are planned.
Military in law enforcement are not planned for direct rescuing. Coaching another advisory and demonstration sharing is planned.
Disclaimer, information shared is completely conceptual not to be relied upon ad factual or occurring.
Forward looking statements, information provided contained a significant amount of forwards looking statements that may or may not happen in the future.
Open source, information is not proprietary information. The information can be used by anyone at any time, are you sure and beneficial purposes.
Background
Article by others:
The difference between Artificial Intelligence and Machine Learning
Canadian College for Higher Studies > Blog > Blog > The difference between Artificial Intelligence and Machine Learning
The difference between Artificial Intelligence and Machine Learning.
Artificial Intelligence (AI) and Machine Learning (ML) are two hot buzzwords right now and often seem to be used interchangeably. These two are not quite the same thing, but the perception that they are can sometimes lead to some confusion, reported Forbes.
Both terms crop up frequently when the topic is big data, analytics, and the broader waves of technological change sweeping through our world.
In short, artificial intelligence is the broader concept of machines being able to carry out tasks in a way that we consider “smart.” Machine learning is a current application of AI based on the idea that we should be able to give machines access to data and let them learn for themselves.
Artificial Intelligence – devices designed to act intelligently – are often classified into one of two fundamental groups – applied or general. Applied AI is far more common – systems designed to trade stocks and shares or maneuver an autonomous vehicle intelligently would fall into this category.
Generalized AIs – systems or devices which can, in theory, handle any task – are less common, but this is where some of the most exciting advancements are happening today. It is also the area that has led to the development of Machine Learning. Often referred to as a subset of AI, it’s more accurate to consider it the current state-of-the-art.
Machine Learning applications can read the text and determine whether the person who wrote it is making a complaint or offering congratulations. They can also listen to a piece of music, decide whether it will likely make someone happy or sad, and find other music details to match the mood. In some cases, they can even compose their music expressing the same themes, or which they know is likely to be appreciated by the admirers of the original piece.
Two significant breakthroughs led to the emergence of Machine Learning as the vehicle driving AI development forward at the current speed.
One of these was the realization that rather than teaching computers everything they need to know about the world and how to carry out tasks, it might be possible to teach them to learn for themselves.
The second, more recently, was the emergence of the internet, and the massive increase in the amount of digital information being generated, stored and made available for analysis.
Once these innovations were in place, engineers realized that rather than teaching computers and machines how to do everything, it would be far more efficient to code them to think like human beings and then plug them into the internet to give them access to all of the information in the world.
Neural Networks
A Neural Network is a computer system designed to work by classifying information in the same way a human brain does. It can be taught to recognize, for example, images and rank them according to the elements they contain.
Essentially it works on a system of probability – based on data fed to it; it can make statements, decisions or predictions with a degree of certainty. The addition of a feedback loop enables “learning” – by sensing or being told whether its decisions are right or wrong, it modifies the approach it takes in the future.
These are all possibilities offered by systems based around ML and neural networks. Thanks in no small part to science fiction, the idea has also emerged that we should be able to communicate and interact with electronic devices and digital information as naturally as we would with another human being. To this end, another field of AI, Natural Language Processing (NLP), has become a source of hugely exciting innovation in recent years and is heavily reliant on ML.
NLP applications attempt to understand natural human communication, either written or spoken and communicate with us using similar, natural language. ML is used here to help machines understand the vast nuances in human language and to learn to respond in a way that a particular audience is likely to comprehend.
Artificial Intelligence has a lot to offer. With its promise of automating mundane tasks and offering creative insight, industries in every sector, from banking to healthcare and manufacturing, are reaping the benefits.
Machine Learning has certainly been seized as an opportunity by marketers. After AI has been around for so long, it’s possible that it started to be seen as something that’s in some way “old hat” even before its potential has ever been achieved. There have been a few false starts along the road to the “AI revolution,” and the term Machine Learning certainly gives marketers something new, shiny, and, importantly, firmly grounded in the here-and-now.
The fact that we will eventually develop human-like