Why Artificial Intelligence Needs Some Emotional Intelligence

Why Artificial Intelligence Needs Some Emotional Intelligence

#AI #machinelearning

  • One of the theoretical advantages of software, artificial intelligence, algorithms, and robots is that they don’t suffer many human foibles.
  • The reality, of course, is different.
  • One of the problems is that, in many instances, the engineers who designed the superefficient code didn’t fully think through the impact on humans, the full possibilities of what humans could do with it, or of the capacity of their products to inflict harm or offense.
  • With robots and machines becoming more integrated into the human experience, it is all the more urgent for engineers to become familiar with the works of John Donne, John Locke, and Jean-Paul Sartre.
  • If we are going to empower machines, algorithms, and software to do more of the work that humans used to perform, we have to imbue them with some of the empathy and limitations that people have.

Robots are becoming chefs, and software is our new chauffeur, but their capacity for empathy leaves something to be desired.
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Most Popular Programming Languages For Machine Learning And Data Science

Most popular programming languages for machine learning and data science:  #tech #developers

  • Short Bytes: In recent times, the demand for machine learning and data science experts has witnessed an exponential growth.
  • So, what programming languages should one learn to land a machine learning or data science job?
  • To do this, the machine learning and data science skills were searched in conjunction with the prominent programming languages like C, Java, C++, and JavaScript.
  • Python and R were included as they are known to be popular for machine learning and data science.
  • We also see that in the past couple of years, there’s a sharp increase in the popularity of these languages in machine learning and data science’s context.

Short Bytes: In recent times, the demand for machine learning and data science experts has witnessed an exponential growth. So, what programming languages should one learn to land a machine learning or data science job? The answer lies in the languages like Python, R, and Java.
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2X AES-256 Encryption

#CyberSecurity -7 Layer Security Structure
 #Cyberattacks #defstar5 #Mpgvip #infosec #AI

  • AES standards for Advanced Encryption Standard.
  • AES is a symmetric key encryption technique which will replace the commonly used Data Encryption Standard (DES) and RC4 algorithm.
  • It was the result of a worldwide call for submissions of encryption algorithms issued by the US Government’s National Institute of Standards and Technology (NIST) in 1997 and completed in 2000.
  • AES provides strong encryption and has been selected by NIST as a Federal Information Processing Standard in November 2001 (FIPS-197), and in June 2003 the U.S. Government (NSA) announced that AES is secure enough to protect classified information up to the TOP SECRET level, which is the highest security level and defined as information which would cause “exceptionally grave damage” to national security if disclosed to the public.

2x AES-256 bit encryption is more security for existing encryption system.it can defense most cyber attrack and protect privacy
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GitHub

Scripts to install and setup #Tensorflow and it's dependencies on #Ubuntu

  • Scripts to install and setup Tensorflow and it’s dependencies on Ubuntu.
  • to install everything in one command.
  • Scripts are included to install Java, Bazel, CUDA, Tensorflow and Docker.
  • Scripts can be used inside a docker container to install everything in one command or one at a time.

Tensorflow-setup-scripts – Scripts to install and setup Tensorflow and it’s dependencies on Ubuntu
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Why Commerce Players Must Invest In Artificial Intelligence Today

Why Commerce Players Must Invest In #ArtificialIntelligence Today by @mevans14

  • The power of artificial intelligence (AI) to transform the consumer journey dominated the conversation at Shoptalk this week.
  • Below are four ways that artificial intelligence has the potential to transform tomorrow’s commerce experience:

    As more retail sales shift to online channels, a number of retailers are looking at ways to better incorporate technologies into the physical retail environment in order to empower store associates and improve the in-store experience.

  • Consumers abandon e-commerce experiences because the product results are often irrelevant, according to Amir Konigsberg, the CEO of Twiggle, which helps e-commerce search engines think the way human beings do.
  • Using artificial intelligence, brands are able to more intelligently and efficiently comb through petabytes of data to better predict consumer behavior and offer recommendations tied to individual consumers.
  • Artificial intelligence will be critical to doing so with chatbots and personal assistants driving the conversation in this next era of conversational commerce.

There is no way to spell “retail” without AI. While companies have been collecting petabytes of data for years, most struggle to make sense of it all. Artificial intelligence enables brands to better synthesize mounds of data and incorporate those learnings into an improved commerce experience.
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The Future of Machine Learning in Finance

The Future of #MachineLearning in Finance #Fintech #AI #deeplearning #DL #ML #tech

  • The present financial market is already comprised of humans as well as machines.
  • Every major financial firm is investing in algorithmic trading because the level and volume of trade carried out by these machines is out of human bounds to process and execute.
  • Based on a very complex model, these machines take into account the past historical financial data available as well as other information available on the internet such as news.
  • In the future, we can expect machines to have greater control over the financial markets.
  • Here are links to some good Ted Talks on algorithmic trading and use of machine learning in finance:

    This question originally appeared on Quora.

What is the future of machine learning in finance? originally appeared on Quora – the place to gain and share knowledge, empowering people to learn from …
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