BPU Holdings: Leading Advancement in Artificial Emotional Intelligence
Oh SangGyoon, President & CEOCertain that AEI will define the future of several business functions, BPU has already carved a unique, value-bound niche for itself in the space. One of the milestones in BPU’s course since its inception in 2012 is the partnership with Tucson Arizona-based Seva Technology, a prominent healthcare software solutions provider. This not only validates the firm’s efforts towards using AEI to improve patient outcomes but also gives it more credibility in the marketplace. The company is also working with the University of Arizona and the United States National Science Foundation (USNSF) to achieve similar goals with its novel AEI bot-tech.
We specialize in Cognitive Communication Protocol–which is the way all beings communicate beyond language and non-verbal intent; furthermore, it’s how humans and machines sense and trigger their emotional states
The focus on Cognitive Communication Protocol makes BPU unique and ahead of the competition.
BPU created ZimGo, a next-gen emotional intelligence search engine. The company leverages sentiment analysis to teach ZimGo about human emotion, natural language processing and machine learning algorithms to automate its search operations. ZimGo is also powered by big data systems to scale its ‘emotional brain’ for worldwide use. Extending the applicability of AEI into the political space, BPU delivers ZimGo Polling, an AEI political forecasting tool that accurately predicted the outcome of US Illinois governor JB Pritzker’s race in 2018. Designed with the capability to successfully assess citizens’ emotions and sentiments, the offering helps in making accurate political predictions. BPU’s product stack also includes several other novel tools such as AiMei - a fun mental health app built to increase one’s emotional intelligence; Neil –a personalized news curator app and Neil publisher – an AI driven automated application to hyper-curate content trained by both individuals and publishers to help the end users achieve expected results.
Leaning towards the healthcare arena, BPU uses AEI framework to improve ‘voice to text’ (rather than the traditional speech to text) capabilities of its bot-tech offerings.” The sound of a loved one can provide immense comfort and even trigger memory paths; particularly for dementia patients,” says Oh, hinting on a promising application area of BPU’s long-term technology. As an early pioneer in the AEI space, the company is constantly adapting to the advancements in technology and continues to hone the edge of its product offerings and core frameworks. Instituted with the avidity to succeed, the firm invariably listens to its customers and strives to establish synergistic partnerships with expert entities pertaining to various industry verticals to broaden the areas of AEI technology.
BPU’s novel suite of products and the zest to change the world with AEI renders it as a visionary enterprise.
BPU Holdings News
BPU Holdings Launches Neil Publisher - An Automated AI Service to Share Hyper-Curated Content
BPU Holdings Partners with Doctors to use Artificial Emotional Intelligence (AEI) to Detect First Signs of Heart Attack
BPU Holdings announces joint work using Artificial Emotional Intelligence (AEI) to harness better health and prevent sudden cardiac death, as well as assist with dementia. The company’s initiative is an outgrowth of its work with the United States National Science Foundation (USNSF) in partnership with the University of Arizona.
Key to the project’s success are two noteworthy Researchers, Dr. Zain I Khalpey and Dr. Salim Hariri. Together they are constructing a medical script to bring aiMei Framework to life. aiMei Framework is BPU’s automated assistant using Artificial Emotional Intelligence combined with BPU’s Operating System, AEIOS, and Natural Language Processing (NLP) to create a Virtual Nurse Assistant (VNA) and a Digital Patient Assistant (DPA).
Dr. Khalpey is a Surgical Director of Heart Transplant, a Fulbright Scholar and Honoree of the Hunterian Medal for Surgery at the Royal College of Surgeons in London. He is also one of a small number of the world’s surgeons to perform a total artificial heart transplant, successfully. Dr. Hariri is a Professor in the Department of Electrical and Computer Engineering at the University of Arizona as well as Director of the NSF Center for Cloud and Autonomic Computing Center (CAC).
Dr. Khalpey, explains how aiMei Framework can be used by patients to help diagnose themselves with the first signs of a heart attack. [Listen HERE to full interview with Dr. Khalpey]
“Imagine you’re an athlete going out for a run and your heart skips a beat at three miles and it suddenly fires on the wrong part of the electrical part of your rhythm adrenaline surge. You go into Ventricular Fibrillation – you have sudden cardiac death. Alternatively, imagine the night before your wearable detects a problem with the heart rhythm. The wearable also reports you feel emotionally under the weather. Or, given the insights from the device the night before, you realize now that you’ve been having this for a while? Not only are you now diagnosing a condition, but also you are predicting the outcome.”
Self-awareness, which is one of aiMei’s Emotional Intelligence components, is able to educate the patient to help understand his or her emotions and physical warnings to make decisions towards better health.
Communication, data, and time are critical for the doctor-patient relationship, according to Khalpey. Too often, nurses in acute and subacute care in hospitals and skilled nursing facilities perform long, cyclical tasks taking up 35% of their time on charting. For dementia patients, windows of unsupervised care are when falls occur. Delirium affects up to 50% of hospitalized seniors and costs the US over $164 Billion per year and $182 Billion in Europe. Additionally, both heart and dementia patients have life-threatening seconds under distress, which can be fatal.
Using aiMei Framework, a Virtual Nurse Assistant and Digital Patient Assistant engage patients in live chatbots that are able to track their daily patterns, remind and track medication, and even assess physical symptoms outside the doctor’s office. Should emergencies occur, the wearable may alert hospitals and their physicians within minutes.
Dr. Hariri states, “AEI can be utilized to interact with patients 24/7 to understand their emotional state, stress level and can even predict major heart failures before they occur. AEI technology will enable us to notify doctors ahead of time so they can take proactive actions that will save a life and will lead to significant improvement in the quality of healthcare.” Goals for aiMei’s related services are Stress Level Detection Using Heartbeat Data of a Subject and Text Analysis to Detect Emotions. Dr. Khalpey further elaborates, “The problem with IBM Watson and its misdiagnosis with cancer was the lack of emotion in the data; there was no personalized data in their algorithms. The pathways didn’t talk to each other. The link between artificial intelligence – the predictability of it, harnessing the data in an intelligent way, along with emotions, fuses the concept of artificial emotional Intelligence (AEI) and artificial intelligence (AI).”
With AEI and the research of the USNSF, BPU is dedicated to bringing aiMei Framework to life – while saving future lives. BPU anticipates aiMei Framework will be ready for clinical trials within two to three years.
BPU Holdings is dedicated to generating the most advanced, usable, secure and innovative Artificial Emotional Intelligence (AEI) technology in the world. Artificial Intelligence (AI) emulates how people think — AEI emulates how people feel.
Key to the project’s success are two noteworthy Researchers, Dr. Zain I Khalpey and Dr. Salim Hariri. Together they are constructing a medical script to bring aiMei Framework to life. aiMei Framework is BPU’s automated assistant using Artificial Emotional Intelligence combined with BPU’s Operating System, AEIOS, and Natural Language Processing (NLP) to create a Virtual Nurse Assistant (VNA) and a Digital Patient Assistant (DPA).
Dr. Khalpey is a Surgical Director of Heart Transplant, a Fulbright Scholar and Honoree of the Hunterian Medal for Surgery at the Royal College of Surgeons in London. He is also one of a small number of the world’s surgeons to perform a total artificial heart transplant, successfully. Dr. Hariri is a Professor in the Department of Electrical and Computer Engineering at the University of Arizona as well as Director of the NSF Center for Cloud and Autonomic Computing Center (CAC).
Dr. Khalpey, explains how aiMei Framework can be used by patients to help diagnose themselves with the first signs of a heart attack. [Listen HERE to full interview with Dr. Khalpey]
“Imagine you’re an athlete going out for a run and your heart skips a beat at three miles and it suddenly fires on the wrong part of the electrical part of your rhythm adrenaline surge. You go into Ventricular Fibrillation – you have sudden cardiac death. Alternatively, imagine the night before your wearable detects a problem with the heart rhythm. The wearable also reports you feel emotionally under the weather. Or, given the insights from the device the night before, you realize now that you’ve been having this for a while? Not only are you now diagnosing a condition, but also you are predicting the outcome.”
Self-awareness, which is one of aiMei’s Emotional Intelligence components, is able to educate the patient to help understand his or her emotions and physical warnings to make decisions towards better health.
Communication, data, and time are critical for the doctor-patient relationship, according to Khalpey. Too often, nurses in acute and subacute care in hospitals and skilled nursing facilities perform long, cyclical tasks taking up 35% of their time on charting. For dementia patients, windows of unsupervised care are when falls occur. Delirium affects up to 50% of hospitalized seniors and costs the US over $164 Billion per year and $182 Billion in Europe. Additionally, both heart and dementia patients have life-threatening seconds under distress, which can be fatal.
Using aiMei Framework, a Virtual Nurse Assistant and Digital Patient Assistant engage patients in live chatbots that are able to track their daily patterns, remind and track medication, and even assess physical symptoms outside the doctor’s office. Should emergencies occur, the wearable may alert hospitals and their physicians within minutes.
Dr. Hariri states, “AEI can be utilized to interact with patients 24/7 to understand their emotional state, stress level and can even predict major heart failures before they occur. AEI technology will enable us to notify doctors ahead of time so they can take proactive actions that will save a life and will lead to significant improvement in the quality of healthcare.” Goals for aiMei’s related services are Stress Level Detection Using Heartbeat Data of a Subject and Text Analysis to Detect Emotions. Dr. Khalpey further elaborates, “The problem with IBM Watson and its misdiagnosis with cancer was the lack of emotion in the data; there was no personalized data in their algorithms. The pathways didn’t talk to each other. The link between artificial intelligence – the predictability of it, harnessing the data in an intelligent way, along with emotions, fuses the concept of artificial emotional Intelligence (AEI) and artificial intelligence (AI).”
With AEI and the research of the USNSF, BPU is dedicated to bringing aiMei Framework to life – while saving future lives. BPU anticipates aiMei Framework will be ready for clinical trials within two to three years.
BPU Holdings is dedicated to generating the most advanced, usable, secure and innovative Artificial Emotional Intelligence (AEI) technology in the world. Artificial Intelligence (AI) emulates how people think — AEI emulates how people feel.
South Koreans are extremely efficient on their smartphones. It’s a lifestyle. We’re a culture that depends heavily on the internet for everyday transactions and information; especially news,” states Oh SangGyoon, CEO of BPU Holdings. “We wanted to create an AI product that learns about the user that is able to push reliable news and topics in real-time.”
It works by integrating Natural Language Processing and Machine Learning to extract the most relevant and engaging stories from the web. Inputted topics are searched so Neil Publisher can learn your preferences. Then personalized publications are created providing fresh new stories shared on your daily ‘Newspaper’ of your personal page. Usable by anyone and any business, Neil Publisher is available now with a limited time, free-trial offer. Neil.news. is currently usable in both Korean and English.