tag machine-language-processing 
Aging in Place Technology Watch
MARCH 15, 2023
Although the article claimed on Feb 28 that there was no mobile version, Bing Search (an alternative mechanism) has this interactive chat built in, including support for multiple languages) and available for any smartphone. And ChatGPT can be accessed through any mobile browser. Beyond direct interaction, AI is already all around.
Aging in Place Technology Watch
AUGUST 4, 2022
Advanced machine learning and AI services are applied to learn individualized lifestyle patterns privately and securely within each home. category tags: IoT and home monitoring , baby boomers , senior living. This platform can capture and unite any type of time-series data into a full 360° view of the physical world. Learn more.
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Aging in Place Technology Watch
NOVEMBER 30, 2022
Over the last few years, a growing number of applications of AI and machine learning have entered the market of caregiving technology for older adults. performs those same functions, and it also supports 60 languages. " Learn more. . . category tags: AI and machine learning , Voice/AI/Voice Assistants , smart home.
Aging in Place Technology Watch
JUNE 13, 2023
This will include a look at home health care, home care, and the discharge processes from hospitals. category tags: tech-enabled home care , Home Care , AI and machine learning , Conversational and generative AI , AgeTech Perhaps it is time to take a more detailed look at the possibilities in care delivery in the home.
Healthcare IT Today
MARCH 16, 2023
Five-Step Framework for Adopting AI/ML for Customer Experience in Healthcare AI and machine learning can help healthcare organizations to dramatically improve customer experience. To move forward with AI/ML, however, you should take a fresh look at your data, infrastructure, and processes.
Aging in Place Technology Watch
APRIL 19, 2023
Voice First refers to applications and services that people control primarily by speaking, leveraging the latest developments in Natural Language Processing (NLP). With the addition of predictive analytics and machine learning, the home can become a participating caregiver. The Future of Wearables and Older Adults (2021).
Lloyd Price
AUGUST 28, 2021
A lot of stakeholders across the healthcare ecosystem strongly believe big tech should be defending the data, helping make data more secure, tagged and categorised. Big tech needs these data points, inputs and variables to solve problems, update machine learning algorithms, deep learning and neural networks etc.
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