Digital Twin: Enabling Technologies, Challenges and Open Research
Human Digital Twins: Creating New Value Beyond the Constraints of the Real World|NTT R&D Website
A look at the current state of NTT R&D, compiled from many different angles.
Is Human Digital Twin possible?
While Digital Twin finds its applications in many fields, mainly in advanced manufacturing, PLM (Product Lifecycle Management), and smart healthcare, …
Competency Management In 5 Steps: Map Your Team's Skills Visually
Here's a guide on how to start with competency management in your product team. 5 steps to create your own product design competency maps.
The Art of Emotional Intelligence
The challenges of the 21st century require new ways of thinking, making it crucial for educators and policy makers to understand the processes of creative thinking and achievement. […] Emotio…
How NASA is using knowledge graphs to find talent
David Meza, senior data scientist at NASA, and his team are building a talent mapping database to better identify talent for jobs.
What Is Self-Worth and How to Recognize Yours
What is self worth and why is it important? Recognizing your self worth deepens your understanding and practices of self-awareness.
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Knowledge Graph Embeddings and Explainable AI
Knowledge graph embeddings are now a widely adopted approach to knowledge
representation in which entities and relationships are embedded in vector
spaces. In this chapter, we introduce the reader...
Cognisphere – Dr. Dr. Jörn Lengsfeld
You’re Still Modeling Growth Incorrectly – TechCrunch
When I first got the job running marketing at Mint, founder and CEO Aaron Patzer told me that we had to get Mint to 100,000 users within six months of launching. The number itself didn’t intimidate me: Before Mint, I had been Facebook employee No. 30. I’d witnessed crazy, exponential user growth fi…
A Perspective on Building Ethical Datasets for Children's Conversational Agents
Artificial intelligence (AI)-powered technologies are becoming an integral part of youth's environments, impacting how they socialize and learn. Children (12 years of age and younger) often interact with AI through conversational agents (e.g., Siri and Alexa) that they speak with to receive information about the world. Conversational agents can mimic human social interactions, and it is important to develop socially intelligent agents appropriate for younger populations. Yet it is often unclear what data are curated to power many of these systems. This article applies a sociocultural developmental approach to examine child-centric intelligent conversational agents, including an overview of how children's development influences their social learning in the world and how that relates to AI. Examples are presented that reflect potential data types available for training AI models to generate children's conversational agents' speech. The ethical implications for building different datasets and training models using them are discussed as well as future directions for the use of social AI-driven technology for children.
AI experts refute Cvedia’s claim its synthetic data eliminates bias
Synthetic data company Cvedia claims it solved the "domain gap" problem and eliminated AI bias. Experts disagree.
Graph database platform Neo4j raises $325M to inform decision-making
Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.
Evidence for New Type of Memory - Neuroscience News
New research indicates the existence of an unconscious iconic memory store that supports predictions made by the global workspace theory of consciousness. It also shows that visual masking does not erase memory traces of masked stimuli but only limits conscious access.
How to Measure Inclusion in the Workplace
Seven key elements to look at, according to research.
Scientists train a computer to learn like a human
A team of researchers has created a device that can make connections over time, and taught it to associate a flash of light with pressure.
To Be Successful, Think About How You Think.
For me, this year has deepened my passion for the work I do. As we all watch the myriad of events of this past year play out, I see the impact of decisions in real time, and realize that our decisions have outsized consequences, now more than ever.
How to Create a Sense of Purpose, According to Science
Training your mind to find meaning in everyday life
You’ll never achieve work-life balance if you don’t know what you’re balancing
Get more out of your week—in and out of work—by creating a detailed picture of how your time is actually spent, says this productivity platform executive.
MyData Accelerator proudly presents: The future of Work & Skills - A Human-centric Skills Data…
Headai is being the enabler in this ecosystem — making skills data interoperable and enabling it to flow.
Feedback: Personal Work Tracker to Improve Your Productivity (whoop/fitbit for work) - Quantified Self / Apps & Tools - Quantified Self Forum
Hey all, I’ve been working on a building a person work tracker, built for us as individuals, not our companies/managers. In a lot of ways, it’s like a Whoop/Fitbit but for your work. I’d love to hear your thoughts and feedback. I’m love quantified self apps and I have an Apple Watch which I use religiously to track my health metrics. I realized that I track almost everything I do (exercise, sleep, meals) but I have no metrics around how I work. I couldn’t tell you how long it takes me to compl...
Rize · Maximize Your Productivity
Rize is an intelligent time tracker that improves your focus and helps you build better work habits.
Personal Informatics
Personal informatics is a class of tools that help people collect personally relevant information for the purpose of self-reflection and self-monitoring. The...
Quantified Self Definition
Quantified self refers to the practice of using wearable devices and other modern technologies to collect data about one’s own life and health.
Feedback on our free happiness+efficiency app? - Quantified Self / Apps & Tools - Quantified Self Forum
Hi everybody! I’ve been enjoying developing and using an app for measuring+optimizing happiness+efficiency over the last ~9 years, but I’ve been having difficulty getting users to try it out and to give feedback. Would anybody here be interested in any of: Trying it out and offering feedback? Suggesting how to get more feedback? The application has a bunch of properties that I think are super interesting: Record what you do Super-convenient autocomplete: it only requires pressing a few bu...
Quantifying the self - Why I track 80 metrics about my life every day - Quantified Self / Research & Media - Quantified Self Forum
I started a data blog on my quantified self journey. You can read the first post here. Let me know what you think, and if there’s anything in particular you’d be interested in reading in future posts. Thanks!
How private do you consider your personal data? - Quantified Self - Quantified Self Forum
I for one, find it fascinating to see other people’s data, and see what conclusions they’ve come to about themselves. My question is, how many qualms about sharing your biometric data do you have (voluntarily and publicly, as opposed to giving it to a company to improve ad selection…)? There have been performance art projects like livestreaming a constant video of themself, publishing their every location, etc. I’m curious where people draw the line.
Personal Dashboards for Self-Tracking Data - Quantified Self / Apps & Tools - Quantified Self Forum
This is a general topic for discussing ideas about personal dashboards for your self-tracking data. I started it with some posts from earlier topics that were happening on the forum, sparked by @LNP. I apologize for some slight timeline issues on the posts and making small edits to add coherence, but I think it will be worth it. #virtualbreakout
Know Thyself: Tracking Every Facet of Life, from Sleep to Mood to Pain, 24/7/365
I got up at 6:20 this morning