A ‘Glut’ of Innovation Spotted in Data Science and ML Platforms

These are heady days in data science and machine learning (DSML) according to Gartner, which identified a “glut” of innovation occurring in the market for DSML platforms. From established companies chasing AutoML or model governance to startups focusing on MLops or explainable AI, a plethora of vendors are simultaneously moving in all directions with their products as they seek to differentiate themselves amid a very diverse audience.

“The DSML market is simultaneously more vibrant and messier than ever,” a gaggle of Gartner analysts led by Peter Krensky wrote in the Magic Quadrant for DSML Platforms, which was published earlier this month. “The definitions and parameters of data science and data scientists continue to evolve, and the market is dramatically different from how it was in 2014, when we published the first Magic Quadrant on it.”

The 2021 Magic Quadrant for DSML is heavily represented by companies to the right of the axis, which anybody who’s familiar with Gartner’s quadrant-based assessment method knows represents the “completeness of vision.” No fewer than 13 of the 20 vendors to make the quadrant’s cut landed on the right side, which indicates active innovation. Read More

#automl, #data-science

How can we keep algorithmic racism out of Canadian health care’s AI toolkit?

Chances are that artificial intelligence is already helping a hospital near you to diagnose patients or monitor surgeries. But health care has a long, ugly history of racial biases that prevent everyone from getting the best treatment

In health care, the promise of artificial intelligence is alluring: With the help of big data sets and algorithms, AI can aid difficult decisions, like triaging patients and determiningdiagnoses. And since AI leans on statistics rather than human interpretation, the idea is that it’s neutral – it treats everyone in a given data set equally.

But what if it doesn’t? Read More

#bias

AI Can Now Debate with Humans and Sometimes Convince Them, Too

Today on the Science Talk podcast, Noam Slonim of IBM Research speaks to Scientific American about an impressive feat of computer engineering: an AI-powered autonomous system that can engage in complex debate with humans over issues ranging from subsidizing preschool and the merit of space exploration to the pros and cons of genetic engineering.

In a new Nature paper, Slonim and his colleagues show that across 80 debate topics, Project Debater’s computational argument technology has performed very decently—with a human audience being the judge of that. “However, it is still somewhat inferior on average to the results obtained by expert human debaters,” Slonim says.  Read More

#nlp

AI Could Enable ‘Swarm Warfare’ for Tomorrow’s Fighter Jets

A Pentagon project is testing scenarios involving multiple aircraft that could change the dynamics of air combat.

Two F-16s engaged with an opposing F-16 at an altitude of 16,000 feet above rocky desert terrain. As the aircraft converged from opposite directions, the paired F-16s suddenly spun away from one another, forcing their foe to choose one to pursue. The F-16 that had been left alone then quickly changed course, maneuvering behind the enemy with textbook precision. A few seconds later, it launched a missile that destroyed the opposing jet before it could react.

The battle took place last month in a computer simulator. Here’s what made it special: All three aircraft were controlled by artificial intelligence algorithms. Those algorithms had learned how to react and perform aerial maneuvers partly through a state-of-the-art AI technique that involves testing different approaches thousands of times and seeing which work best. Read More

#dod

Soon, AI-based robots to replace financial advisers: Oracle study

India is among top three geographies including Japan and China where 83 per cent of Indians and 88 per cent of business leaders now trust AI more than humans to manage finance

ust about a year ago, before the world was locked down, the big fear was technology taking over jobs. But, over the extended global lockdown, humans seem to have discovered greater faith in technology and machines, according to Oracle’s Money and Machines: 2020 Global Study that was conducted across 9,000 consumers and business leaders in 14 countries.

India is among the top three geographies including Japan and China where 83 per cent of Indians and 88 per cent of business leaders now trust artificial intelligence (AI) more than humans to manage finance. Read More

#robotics