Until you appreciate what you currently have, more won’t make your life better.
2. It’s Never As Bad As You Think It Will Be
The problem with dread & fear is that it holds people back from taking on big challenges. What you will find — no matter how big or small the challenge — is that u will adapt to it.When u consciously adapt to enormous stress, u evolve.
What #AI lacks, humans can fill in.
What humans lack, who will fill in.
Dual standards of our society and human thinking. #Ethics, #fairness and other values are regulated for AI but same values for humans are not regulated.
Time to do introspection.
If humans are unable to grasp the ethics, morale and fairness values due to deep diversity of humanity, how can we ensure ethical frameworks created for #AI will be universal.
Humans have failed to uphold the values of #ethic across history and geography. Humans have used the technology to gain control and become superior. The weaponisation of #ai is inevitable. We have seen parallel cases from field of #biotech and specific case of #crispr
#antitrusthearing very interesting question, how will you ensure that biases of your employees are getting in to the algorithm?
In fact research has proven that algorithms are learning not from the data but the way data was labelled and annotated. #ai#bias
Day 18 update
Completed reading from Robert Cialdini
Started another reading from chapter 2 of Mayer’s book on Social Psychology, completed 5 pages
Day 18 update
- spotlight effect is experienced when we think people are paying more attention to us then needed.
- we also suffer from illusion of transparency that our emotions are easily detectable.
Day 19-20 update
Completed up to page 12/chapter 2 from Social psychology book by Mayers
- We overestimate the visibility of our social blunders and public mental slipups
- At center of our world is our sense of self
#QuantumComputing#quantum#technology#India Panel is packed with eminent and leading members from Science and Academia.
Apoorva Patel (IISc, Bangalore)
R. P. Singh (PRL, Ahmedabad)
Umakant Rapol (IISER, Pune)
Anil Prabhakar (IIT Madras)
D2 of #50daysofUdacity
I finished up to Lesson 2.25
Also completed lab assignment for a linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference
@InfoQ on #Microservices
microservice architectural pattern is best used for implementing the "breadth" of business functionality. Engineers should avoid building deep call chains of services, as this can increase the probability of failure 1/2
Deep chains in #Microservices can also increase the challenges of locating and diagnosing issues. Code libraries can often be used more effectively to implement "depth" within services.
Good advice for #architects dealing with issues. Thanks @InfoQ 2/2
#developers should avoid building highly-coupled distributed #systems. Instead, they should build "resilient federations" based on standard domain-driven design (DDD) federations of services for implementing #Microservices
1/n) #automl automated machine learning is shifting a field of #ml from #knowledge centric to compute centric.
It also providing much needed abstraction layer for #businessgrowth and #product folks to directly leverage power of ml without the need of Experts.
2/n) Also from business point of view, it shifts #MachineLearning from fixed cost (Experts, systems, data) to variable cost (pay per use automl). This will result in death nail of many ml teams across Enterprise.
3/n) On top of #automl, if you can integrate #DevOps then you will get modified version of #mlops which means a single engineer with sufficient knowledge and help of cloud can replace team of engineers and researchers. #DigitalTransformation
If #ai is source for future competition and promising to provide competitive advantages, have any one thought of how to protect it and sustain it. If you can't protect and sustain, what is the use of competitive advantage. #BusinessIntelligence#Competition
Today's race of #AI is more towards accuracy and we are pouring enough resources for same. When time for industrialisation come to reap benefits, #ai will face many challenges. Industrialisation is a very big opportunity. #Innovation#technology
When Will #AI Exceed Human Performance?
This is the hot discussion across many domains. However very few credible answers and evidence are available. Here is the most credible answer from AI expert based on crowd sourced prediction from research Paper. #ArtificialIntelligence
Just say no to #blockchain (for now) advises Gartner
"It's still not appropriate for the vast majority of enterprises to consider blockchain technology at its current level of maturity," said Gartner research fellow David Furlonger on Wednesday computerworld.co.nz/article/649020…
According to @Gartner_inc, #Blockchain technology has a number of issues that need to be addressed before enterprises can confidently roll it out at scale.
We need to take #blockchain#DLT carefully over the next few years until we reach a stronger point of robustness, both within the technology but also within the business itself.
Gartner Top 10 Strategic Technology Trends includes #blockchain#DLT as vertical under mesh and digital #ethics and #privacy as horizontal. However blockchain in its proper design and implementation can provide for ethics via governance and privacy via selective disclosure.
#QuantumComputing breaks first time in to Gartner Top 10 Strategic #Technology Trends. It's a reason to celebrate but we have to remain pragmatic considering challenges of the field especially quantum error, decoherence and qubits size.