Blockchain will keep you young …
Can Blockchain help you stay young ?
Maybe, maybe not but here are a few ways to look and feel younger….
- Exercising and staying active
- Learn a new skill or language
- Well balanced diet
- Friends and family
Exercising and staying active
It’s well known that any kind of exercise, whether 20 minutes a day or a walk up the stairs, helps you stay healthy and young.
In fact , exercising helps your brain remove proteins like amyloid. This is one of those proteins that accumulate over time and some believe play a part in Alzheimer’s or make those with Alzheimer’s worse. And there hasn’t been a drug that lowers amyloid.
Blockchain and exercise….
maybe with a Fitbit and some heart-rate sensors that monitor whether your heartbeats faster or slower, maybe written to the Blockchain. Possibly obtain rewards with a token or bitcoin for more steps , better heart rate , cholesterol, etc. maybe some amyloid like sensor. If possible.
So there is a use case for Blockchain here.
Learn a new skill or language
There is a ton of research around challenging your brain to reduce your risks of dementia. But how complex does the challenge have to be to reduce dementia? Learn mandarin at 75? Learn cryptography at 65? Learn how to salsa dance at 90? Skydive at 100? And how often , how much is needed ?
Finding new activities that interest you and trying to get better is the important part. Your brain stays active and interested.
Instead of your brain just giving up sometimes , it’ll find alternative options because it’s always finding new challenges.
Blockchain and new challenges …
Of course learning about Blockchain, cryptocurrency, and technology is a challenge , but it serves no purpose if someone quits in a few minutes. Find something that you’ll enjoy and stick with it. And mix it up every year.
Who says a 91 year old can’t build smart contracts in solidity ? Why not. Maybe they would bring a different perspective. It might also create an adventure or new bonding experience with grandkids or great grandkids.
Sleep is something the tech space and some musicians, actors, etc brag they don’t ever need or get. But it’s well known a good nights sleep is not only good for you , but can help you stay youthful and attentive and productive.
Blockchain and sleep …
Turn off the tv. Don’t put your smart phone near your bed. Stop eating unhealthy and drinking caffeine right before bed. Do some yoga and meditation. Breathe deeply.
Sleep patterns could be stored on the Blockchain and maybe if you add smart sensors that listen to your breathing and voice and heartbeat, a Blockchain like token or bitcoin reward for sleeping better and longer could be a good incentive.
Well balanced diet
Eating more vegetables and fruit makes you healthier and younger. And is great for your memory and cognitive capabilities. A well balanced diet is key.
Stay away from saturated fats and trans fats. They damage you and your heart and your brain. Avoid fried foods.
Certain studies claim you can reduce your risk of Alzheimer’s by like 40% by eating Blueberries, raspberries, blackberries (all high in antioxidants), Leafy greens like kale , & fish. But you need to avoid things like red meat , butter , fried foods , anything with high saturated and trans fats.
There are tons of Blockchain and IOT and artificial intelligence use cases for supply chain , food , agriculture , and restaurants. Look at the recall for lettuce now.
It’s not a ‘Blockchain will save lettuce ‘ but it could be one piece of an integrated ecosystem platform that catches recalls long before people get sick or even die form poison food.
Friends and family
There are many studies that show us having a good social circle helps people live a healthier longer life. Many Studies about Grandkids and grandparents and happy kids becoming happy adults and grandparents extending their lives and being healthier. Same with good friends.
Blockchain and family
The thanksgiving dinner this year might not be a happy medium if you brought up bitcoin and crypto last year. So tread lightly. But Blockchain and Wallets and economic theory are all conversations people should have. What better way to teach various generations.
What do you think ?
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Data is the lifeblood of many organizations, but it can be hard to get your hands on when data protection protocols are in place. With synthetic data you needn’t worry about access time-consuming roadblocks because this new technology bypasses them entirely!
Consider one financial institution with rich streams containing strategic information for decision makers–it was so highly protected that gaining internal use rights was practically impossible without outside help from specialists who knew how break through these security measures
Synthetic data is the answer to all of your problems. It can protect you from a myriad security threats and vulnerabilities by eliminating any chance that hackers might have at accessing company or customer information without consent, while also maintaining privacy for everyone involved in its creation!
What is synthetic data ?
AI-based synthetic data has been used to bring statistical properties and patterns of real world events into a different context.
The goal is reproduce the probability distribution or sampling theorem, but this time with new variables that weren’t present in any previous datasets
Now you can train machine learning and computer vision models faster than ever! With synthetic data, companies are able to quickly create large sets of training examples. This is a huge advantage for those who need access and time on their hands – it’s like having your own personal data set ready at any moment.
The power to analyze large datasets with speed and accuracy, without the need for third party data sets that are prohibitively expensive.
Synthetic data gives companies access to mimicked real world synthetic datasets and images made from high-quality analyzed real world sources at a low cost – enabling them not only see how their business would perform but also make informed decisions about where it needs improvement or success!
Why is it so hard ?
While the benefits of synthetic data are compelling, realizing them can be difficult. Generating synthetic files requires an organization to do more than just plug in AI tools that analyze their own datasets; this complex process needs people with specialized skill sets and understanding about machine learning and deep learning algorithms who have advanced knowledge on how these technologies work together as well specific frameworks tailored for each task at hand.
What’s next ?
Synthetic data is a complex and often tricky area to work in. Organizations should be sure that the value will outweigh any drawbacks before getting involved with it, which can include pitfalls from doing so wrong or having incorrect assumptions when creating synthetic datasets for use within your company’s operations.
Data-driven leaders who want their organization to be successful should make it a priority and never abandon the idea of using data and analytics as an integral part in decision making.
Engineers at the University of Waterloo combined two existing deep-learning AI techniques to identify players by their sweater numbers with 90-per-cent accuracy.
“That is significant because the only major cue you have to identify a particular player in a hockey video is jersey number,” said Kanav Vats, a Ph.D. student in systems design engineering who led the project. “Players on a team otherwise appear very similar because of their helmets and uniforms.”
Player identification is one aspect of a complicated challenge as members of the Vision and Image Processing (VIP) Lab at Waterloo work with industry partner Stathletes Inc. on AI software to analyze player performance and produce other data-driven insights.
The researchers built a data set of more than 54,000 images from National Hockey League games—the largest data set of its kind—and used it to train AI algorithms to recognize sweater numbers in new images.
Accuracy was boosted by representing the number 12, for instance, as both a two-digit number and two single digits, 1 and 2, put together, an approach known in the field of AI as multi-task learning.
“Using different representations to teach the same thing can improve performance,” Vats said. “We combined a wholistic representation and a digit-wise representation with great results.”
The research team is also developing AI to track players in video, locate them on the ice and recognize what they are doing, such as taking a shot or checking an opposing player, for integration in a single system.
Check out some cool artificial intelligence companies in San Diego, including Pagarba Solutions.