What was in the past just a figment of the imagination of some of our most famous scientists and writers, machine learning
Machine Learning
Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained
Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained
Read this Term and AI have without a doubt taken root in almost everything smart.
AI is now being used to not only solve a wide range of modern and common problems, but also to assist in the wellbeing of the human mind.
Recently, developers have attempted to use AI to make us happier, but can these applications help us?
The First AI Machine That Saved the World
In the early 1930’s, at the height of the Second World War, British cities were taking heavy casualties by constant German air raids. The Germans were so effective with ‘blitzkrieg’ and with the secretary of their war plans that at one point during the war, they cornered the entire British army at the beaches of a French coastal town called Dunkirk.
The Germans were always a step ahead in their vital war plans largely because the allies had little intelligence on what their next advance would be. The Germans used a special code generated by a machine they had engineered called the ‘Enigma’ to send messages secretly within the Wehrmacht and its occupied territories.
The allies biggest challenge was to crack this German code. To undertake this project, the UK Government Code and Cypher School (GC&CS), headquartered in Bletchley Park, appointed scientist Alan Turing as the man for the job.
Turing assembled a team that eventually created the Bombe machine which was used to decipher Enigma’s messages. By speeding up the process of breaking the Enigma's encryption settings, staff could decode messages quickly and pass on the intelligence.
The Bombe and Enigma Machines laid the foundations for Machine Learning. They could converse with humans without humans knowing it was a machine. This imitation game is technically what we would label as “intelligent”.
‘Artificial Intelligence’ Was Born
In 1956, American computer scientist John McCarthy officially adopted the term ‘Artificial Intelligence’ at the Dartmouth Conference.
Several Research centers were established in the United States aiming to explore the potential of AI. Herbert Simon and Allen Newell were pivotal in promoting AI as a technology that could transform the world.
In 1966, well before the launch of personal computers, Joseph Weizenbaum created ‘Eliza’ at the MIT Artificial Intelligence Laboratory. This was the first-ever AI bot in the form of a chat-bot which are self-learning bots that are programmed with Natural Language Processing (NLP) and Machine Learning.
Modern Day AI WIth A Twist
Today, AI is integrated in a variety of machines and softwares including AI bots.
However, a more sophisticated type of AI is emerging, labeled as "happiness tech" which assists people in becoming happier by detecting an individual's emotional state of being. But how does it work?
Since 2016, AI researcher Julian Jewel Jeyaraj has been working on the idea of utilizing AI to measure an individual's happiness. Jewel Jeyaraj developed JJAIBOT which is able to analyze the facial expressions of thousands of photos ( a social media profile for example) and forecast the emotional state of individuals within those photos. By analyzing the facial expressions, date, time, and location of those photos, the AI - which is trained in cognitive behavioral therapy methods to learn emotional profiles - is able to even measure the general happiness of an individual, or an entire demographic.
Based on the data it collects, the AI bot has the capabilities to provide personalized "happiness recommendations" to individuals such as meditation and breathing techniques, and other exercises to assist in their mental health.
So far the AI has been tested with more than 10,000 people in different environments.
Julian Jewel says “ AI bots are like personal assistants who remember our likes, dislikes and never tend to disappoint. Future JJAIBOTs can be assembled through stem cells in a petri dish that can produce living robots that can essentially reproduce. These bots can be programmed to perform useful functions such as finding cancer cells in human bodies or trapping harmful microplastics in the ocean protecting the environment”
Utilizing this type of AI technology in the workplace can help businesses, too. Companies would be able to track what's called "psychological capital," and could significantly increase employee productivity for companies.
Can AI Become the Future of Connection?
During lockdown, the world relied on technology to keep us connected to friends, family and our ability to work remotely.
The pandemic also made clear the importance of human connection which was heavily underscored.
We depend on "happiness technologies" to keep us healthy and happy and without applications such as video chats, entertainment, online conferencing, and software such as JJAIBOT, we would live in a world that was much more fragmented and psychologically difficult to bear.
During the pandemic, socialization has been crucial to many people's mental health. Interactive bots have been able to at least partially meet our need for intelligent connection.
A prime example of this is the CozmoBot, a child friendly human-AI interaction robot designed by AnthroTronix. CozmoBot is a robot that recognizes faces, learns names and uses facial expressions to convey different emotions and can be used as part of a play therapy program that promotes rehabilitation and development of disabled children. It has a constantly evolving set of skills and abilities based on human interactions. The CozmoBot system also automatically collects data for therapist evaluation.
Another example is JJAIBOTT which uses Visual & Acoustic Recognition Component (V-ARC) and advanced algorithms to detect images (brain scans, facial expressions, etc.) and text to detect human emotions. JJAIBOT also utilizes Predictive Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt
Read this Term Engine (PAE), which uses automated machine learning algorithms to data sets to create predictive models.
In these cases, there is no question that AI has the potential to tackle and solve complex problems, even as complex as helping our physiological state.
AI is a valuable tool to help increase a person's happiness by offering deep analysis, calculated solutions, and mimicking human-like connection.
What was in the past just a figment of the imagination of some of our most famous scientists and writers, machine learning
Machine Learning
Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained
Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained
Read this Term and AI have without a doubt taken root in almost everything smart.
AI is now being used to not only solve a wide range of modern and common problems, but also to assist in the wellbeing of the human mind.
Recently, developers have attempted to use AI to make us happier, but can these applications help us?
The First AI Machine That Saved the World
In the early 1930’s, at the height of the Second World War, British cities were taking heavy casualties by constant German air raids. The Germans were so effective with ‘blitzkrieg’ and with the secretary of their war plans that at one point during the war, they cornered the entire British army at the beaches of a French coastal town called Dunkirk.
The Germans were always a step ahead in their vital war plans largely because the allies had little intelligence on what their next advance would be. The Germans used a special code generated by a machine they had engineered called the ‘Enigma’ to send messages secretly within the Wehrmacht and its occupied territories.
The allies biggest challenge was to crack this German code. To undertake this project, the UK Government Code and Cypher School (GC&CS), headquartered in Bletchley Park, appointed scientist Alan Turing as the man for the job.
Turing assembled a team that eventually created the Bombe machine which was used to decipher Enigma’s messages. By speeding up the process of breaking the Enigma's encryption settings, staff could decode messages quickly and pass on the intelligence.
The Bombe and Enigma Machines laid the foundations for Machine Learning. They could converse with humans without humans knowing it was a machine. This imitation game is technically what we would label as “intelligent”.
‘Artificial Intelligence’ Was Born
In 1956, American computer scientist John McCarthy officially adopted the term ‘Artificial Intelligence’ at the Dartmouth Conference.
Several Research centers were established in the United States aiming to explore the potential of AI. Herbert Simon and Allen Newell were pivotal in promoting AI as a technology that could transform the world.
In 1966, well before the launch of personal computers, Joseph Weizenbaum created ‘Eliza’ at the MIT Artificial Intelligence Laboratory. This was the first-ever AI bot in the form of a chat-bot which are self-learning bots that are programmed with Natural Language Processing (NLP) and Machine Learning.
Modern Day AI WIth A Twist
Today, AI is integrated in a variety of machines and softwares including AI bots.
However, a more sophisticated type of AI is emerging, labeled as "happiness tech" which assists people in becoming happier by detecting an individual's emotional state of being. But how does it work?
Since 2016, AI researcher Julian Jewel Jeyaraj has been working on the idea of utilizing AI to measure an individual's happiness. Jewel Jeyaraj developed JJAIBOT which is able to analyze the facial expressions of thousands of photos ( a social media profile for example) and forecast the emotional state of individuals within those photos. By analyzing the facial expressions, date, time, and location of those photos, the AI - which is trained in cognitive behavioral therapy methods to learn emotional profiles - is able to even measure the general happiness of an individual, or an entire demographic.
Based on the data it collects, the AI bot has the capabilities to provide personalized "happiness recommendations" to individuals such as meditation and breathing techniques, and other exercises to assist in their mental health.
So far the AI has been tested with more than 10,000 people in different environments.
Julian Jewel says “ AI bots are like personal assistants who remember our likes, dislikes and never tend to disappoint. Future JJAIBOTs can be assembled through stem cells in a petri dish that can produce living robots that can essentially reproduce. These bots can be programmed to perform useful functions such as finding cancer cells in human bodies or trapping harmful microplastics in the ocean protecting the environment”
Utilizing this type of AI technology in the workplace can help businesses, too. Companies would be able to track what's called "psychological capital," and could significantly increase employee productivity for companies.
Can AI Become the Future of Connection?
During lockdown, the world relied on technology to keep us connected to friends, family and our ability to work remotely.
The pandemic also made clear the importance of human connection which was heavily underscored.
We depend on "happiness technologies" to keep us healthy and happy and without applications such as video chats, entertainment, online conferencing, and software such as JJAIBOT, we would live in a world that was much more fragmented and psychologically difficult to bear.
During the pandemic, socialization has been crucial to many people's mental health. Interactive bots have been able to at least partially meet our need for intelligent connection.
A prime example of this is the CozmoBot, a child friendly human-AI interaction robot designed by AnthroTronix. CozmoBot is a robot that recognizes faces, learns names and uses facial expressions to convey different emotions and can be used as part of a play therapy program that promotes rehabilitation and development of disabled children. It has a constantly evolving set of skills and abilities based on human interactions. The CozmoBot system also automatically collects data for therapist evaluation.
Another example is JJAIBOTT which uses Visual & Acoustic Recognition Component (V-ARC) and advanced algorithms to detect images (brain scans, facial expressions, etc.) and text to detect human emotions. JJAIBOT also utilizes Predictive Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt
Read this Term Engine (PAE), which uses automated machine learning algorithms to data sets to create predictive models.
In these cases, there is no question that AI has the potential to tackle and solve complex problems, even as complex as helping our physiological state.
AI is a valuable tool to help increase a person's happiness by offering deep analysis, calculated solutions, and mimicking human-like connection.
