Detailed Analysis On AI Warnings: Is It Really The “Biggest Existential Threat”?

The rapid evolutions of Artificial intelligence have reared a load of discussions; where some of its proponents are finding it immensely powerful to solve major social and health issues, there are other tech leaders and renowned scientists notifying its terrible warnings. The critics warned about the alarming situations, and have gone so far as to declare it “dangerous than nuke”, “biggest existential threat”, “a fundamental risk to the existence of human civilization. and “it can end mankind”. Pondering upon the criticality of these cautions, it’s time to put aside bitmojis and focus on the depth of the matter. Read More

#artificial-intelligence, #human

Is AI an Existential Threat?

When discussing Artificial Intelligence (AI), a common debate is whether AI is an existential threat. The answer requires understanding the technology behind Machine Learning (ML), and recognizing that humans have the tendency to anthropomorphize.  We will explore two different types of AI,  Artificial Narrow Intelligence (ANI) which is available now and is cause for concern, and the threat which is most commonly associated with apocalyptic renditions of AI which is Artificial General Intelligence (AGI).

… With its focus on whatever operation it is responsible for, ANI systems are unable to use generalized learning in order to take over the world. That is the good news; the bad news is that with its reliance on a human operator the AI system is susceptible to biased data, human error, or even worse, a rogue human operator. Read More

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State of AI Report 2020

Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.

We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence. 

The State of AI Report is now in its third year. New to the 2020 edition are several invited content contributions from a range of well-known and up-and-coming companies and research groups. Consider this Report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.  Read More

#strategy, #artificial-intelligence

The Future of AI Part 1

This article will focus on the outlook for AI over the period from 2020 to 2025. The next in the series will consider the longer term potential of AI

The tragedy of lost lives and economic recession caused from the Covid-19 crisis is likely to result in an acceleration of digital transformation and adoption of AI technology. A number of articles and leading firms have made forecasts of accelerated transformation… Read More

#artificial-intelligence, #strategy

Emerging technologies are reshaping financial services. Here’s how

A new report from the World Economic Forum explores how emerging technology clusters are changing the financial services industry.

AI, IoT, cloud computing and 5G, among other technologies, offer new opportunities to both consumers and businesses.

This reportoffers a framework for understanding how AI is combining with other emerging technologies and shaping the financial services industry. The report is the result of more than 200 expert interviews and nine international workshops over the past year as part of the Forum’s AI in Financial Services project.Here are three ways in which we will begin to experience the effects of these technology clusters. Read More

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The Future of AI: Outlook to 2020s & 2030s

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How special relativity can help AI predict the future

An approach inspired by Einstein’s light cones lets AIs make better guesses about what will happen next. It could help predict the effects of drugs.

Nobody knows what will happen in the future, but some guesses are a lot better than others. A kicked football will not reverse in midair and return to the kicker’s foot. A half-eaten cheeseburger will not become whole again. A broken arm will not heal overnight

By drawing on a fundamental description of cause and effect found in Einstein’s theory of special relativity, researchers from Imperial College London have come up with a way to help AIs make better guesses too. Read More

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Facebook and NYU use artificial intelligence to make MRI scans four times faster

AI learns to create MRI scans from a quarter of the data.

If you’ve ever had an MRI scan before, you’ll know how unsettling the experience can be. You’re placed in a claustrophobia-inducing tube and asked to stay completely still for up to an hour while unseen hardware whirs, creaks, and thumps around you like a medical poltergeist. New research, though, suggests AI can help with this predicament by making MRI scans four times faster, getting patients in and out of the tube quicker.

The work is a collaborative project called fastMRI between Facebook’s AI research team (FAIR) and radiologists at NYU Langone Health. Read More

#artificial-intelligence, #image-recognition

Too many AI researchers think real-world problems are not relevant

Any researcher who’s focused on applying machine learning to real-world problems has likely received a response like this one: “The authors present a solution for an original and highly motivating problem, but it is an application and the significance seems limited for the machine-learning community.”

These words are straight from a review I received for a paper I submitted to the NeurIPS (Neural Information Processing Systems) conference, a top venue for machine-learning research. I’ve seen the refrain time and again in reviews of papers where my coauthors and I presented a method motivated by an application, and I’ve heard similar stories from countless others. Read More

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How Do Data Science Machine Learning And Artificial Intelligence Overlap

In conjunction with data science and digital transformation, you have probably heard the terms of artificial intelligence, machine learning, and deep learning is used. You might wonder what the relationship between those topics is. How do companies in industries range from biopharma to chemicals to food & beverage that incorporate AI, machine learning, and data science to enhance their processes? AI and machine learning allow applications such as virtual digital assistants, facial recognition, and self-driving cars, as well as improvements in healthcare diagnostics and process manufacturing. Are you interested in making a career in these? There are many AI certification courses, data science certification courses, and ML certifications available online. Check out! Read More

#artificial-intelligence, #data-science