Researchers develop artificial intelligence that can detect sarcasm in social media

" SARCASM "

"Sarcasm has been a major hurdle to increasing the accuracy of sentiment analysis, especially on social media, since sarcasm relies heavily on vocal tones, facial expressions, and gestures that cannot be represented in text," says Brian Kettler, a program manager in DARPA's Information Innovation Office (I2O). "Recognizing sarcasm in textual online communication is no easy task as none of these cues are readily available."

The team, which includes computer science doctoral student Ramya Akula, began working on this problem under a DARPA grant that supports the organization's Computational Simulation of Online Social Behavior program.

The team's findings were recently published in the journal Entropy.

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AI and biometrics in 2021: Predictions, trends, and insights for what might lie ahead.

Biometrics and AI: Biometric security solutions and AI-powered fraud prevention technologies have, for several years now, been transforming the ways in which organizations protect their business, their customers, and their employees. In fact, some industry estimates reveal that AI and biometrics have combined to prevent billions of dollars in losses from fraud—already.

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AI and biometrics in 2021: Predictions, trends, and insights for what might lie ahead.

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THE CRITICAL ROLE OF DATA SCIENCE IN AUTOMOTIVE AND AEROSPACE ENGINEERING.

Data Science in Aerospace Engineering

When it comes to Aerospace Engineering, Data Science has been helping to collect data on aircraft for years ranging from binary data such as speed, altitude,  stability of the aircraft during flight, etc.

 

Data Science Applications for Automotive Engineering

Data Science, just like in aerospace engineering has multiple functions in automotive engineering. Companies gather data from all sources and use it to enhance existing advancements in automotive engineering and streamlining product lifecycle management.

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How Robotics is helping stroke survivors learn to walk again

first, we know what is artificial intelligence,

Artificial Intelligence (AI) is the machine-displayed intelligence that simulates human behavior or thinking and can be trained

to solve specific problems.

AI used in different industries such as E-Commerce, Navigation, Robotics, Human Resource, Agriculture, Gaming, Automobiles,

Social Media and marketing.

Now we discussed AI in Robotics.

Physical therapists are now using robotics powered by artificial intelligence to help patients learn to move their hands, arms, and legs again.

is there is an example of this statement? yes

Robotics is helping stroke survivors learn to walk again.

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Top 7 Big Data Trends to Dominate 2021

 

Big data is a term that describes the large volume of data – both structured and unstructured – that updates a business on a day-to-day basis. But it's not the amount of data that's important. It's what organizations do with the data that matters.

Here are seven top big data trends organizations will need to watch to better reinforce and secure disrupted businesses. Have a look at the summary of those trends

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Quote : "No matter how carefully a project is planned, something may still go wrong with it " - Robert Burns.

Top AI, Data Science, Analytics Appointments In India

 

According to the State of Artificial Intelligence in India report, the hiring activities from the mid-junior to the mid-senior experience levels are on the rise, indicating companies’ interest in developing capabilities in computer vision, robotics, and natural language processing, etc. 

Here, also we have listed the major leadership appointments across data science, machine learning, and artificial intelligence roles of late. 

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VOICE SPECIFICATION USING MACHINE LEARNING AND NEURAL NETWORKS

 

Imagine a conference room where a meeting is taking place. There are several people, they all take turns to speak. We would like to transcribe what they are saying. There are tools that can transcribe voice to text (most of us have that feature on our phones and do not even know it), but can we train a model to learn voices and accurately predict who is speaking just by listening to their voice? Can we predict their gender?

We will tackle these problems by using Machine Learning with Neural Networks.

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THE FORCES BEHIND SOCIAL MEDIA : ALGORITHMS, ARTIFICIAL INTELLIGENCE, AND INTENSITY

Who are the main players in this power shift? It’s not just governments and corporations. Right now, algorithms and artificial intelligence (AI) — and the people behind them — have far more influence than many realize.

Changing minds and influencing behavior has always been the central purpose of media. Headlines are intended to grab our interest and spark emotions that will impact how we think and act. There is nothing necessarily morally wrong about this. It has always been how perceptions are shaped. Even the most unbiased article retains a trace of the author’s opinion. What is different now is that “machines” — in the form of AI and algorithms — have been introduced into the equation and operate at an unprecedented scale.

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