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Episode 14 — Does the Dwarf Planet Ceres Harbor Life?

Please have a listen to Episode 14 of Cosmic Controversy with guest Julie Castillo, NASA’s Dawn mission project scientist. We spend much of the episode discussing the beguiling dwarf planet Ceres and the need for a sample return mission.


This week’s guest is NASA Dawn project scientist Julie Castillo-Rogez who led the hugely successful robotic mission on the first in-depth look at the asteroid Vesta and the dwarf planet Ceres. Castillo talks about why there’s a growing consensus that Ceres may have long had habitable subsurface conditions and why we need a sample return mission to launch in 2033. We also discuss Mars’ moons of Deimos and Phobos and the first interstellar asteroid, Oumuamua.

Artificial intelligence algorithm can determine a neighborhood’s political leanings by its cars

From the understated opulence of a Bentley to the stalwart family minivan to the utilitarian pickup, Americans know that the car you drive is an outward statement of personality. You are what you drive, as the saying goes, and researchers at Stanford have just taken that maxim to a new level.

Using computer algorithms that can see and learn, they have analyzed millions of publicly available images on Google Street View. The researchers say they can use that knowledge to determine the political leanings of a given neighborhood just by looking at the cars on the streets.

“Using easily obtainable visual data, we can learn so much about our communities, on par with some information that takes billions of dollars to obtain via census surveys. More importantly, this research opens up more possibilities of virtually continuous study of our society using sometimes cheaply available visual data,” said Fei-Fei Li, an associate professor of computer science at Stanford and director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab, where the work was done.

Teaching evolutionary theory to artificial intelligence reveals cancer’s life history

Scientists have developed the most accurate computing method to date to reconstruct the patchwork of genetic faults within tumors and their history during disease development, in new research funded by Cancer Research UK and published in Nature Genetics.

Their powerful approach combines with the mathematical models of Charles Darwin’s theory of evolution to analyze genetic data more accurately than ever before, paving the way for a fundamental shift in how ’s genetic diversity is used to deliver tailored treatments to patients.

Applying these to DNA data taken from patient samples revealed that tumors had a simpler genetic structure than previously thought. The algorithms showed that tumors had fewer distinct subpopulations of cells, called “subclones,” than previously suggested. The scientists, based at The Institute of Cancer Research, London, and Queen Mary University of London, could also tell how old each subclone was and how fast it was growing.

Germany tells Elon Musk he can have whatever he needs for new Berlin plant

Tesla boss Elon Musk has been told by Germany’s economy minister that he can have whatever he needs for his new electric vehicle manufacturing plant in Berlin.

Musk and Germany economy minister Peter Altmaier had an hour long meeting in Berlin on Wednesday, according to a source familiar with the matter. “The main topics were Tesla’s billions of euros worth of investment in Germany,” the source said.

The duo, who first met six years ago, also spoke about Musk’s projects in areas like space flight and autonomous driving.

Exploring the Implications of AI with Mastercard’s AI Garage

Amanda Christensen, ideaXme guest contributor, fake news and deep fake researcher, and Marketing Manager at Cubaka, interviews Nitendra Rajput, VP and Head of Mastercard’s AI Garage.

Amanda Christensen Comments:

Artificial intelligence has become a technological buzzword, often solely referred to AI rather than depicting the possibly infinite amount of practical applications that artificial intelligence can actually provide, or the intricacies involved from industry to industry, and region to region.

To discuss some of the many applications for artificial intelligence, as well as some of the considerations to be taken into account to create more accurate and less biased machine learning systems, I had the pleasure of speaking with Nitendra Rajput, VP and Head of Mastercard’s AI Garage.

Nitendra rajput head of mastercard’s AI garage:

Nitendra Rajput is the Vice President and Head of Mastercard’s AI Garage, setting up the centre to enable it to solve problems across various business verticals globally with machine learning processes, increasing efficiencies across the business as well as mitigating instances of fraud.

Optimising the Everyday with The Spatial Web

Amanda Christensen, ideaXme guest contributor, fake news and deepfake researcher and Marketing Manager at Cubaka, interviews Dan Mapes, PhD, MBA co-founder of VERSES.io and co-author of The Spatial Web: How Web 3.0 Will Connect Humans, Machines, and AI to Transform the World.

Amanda Christensen Comments:

We’ve come a long way since the invention of the internet, and even further since the invention of the first computer, which together have undeniably significantly facilitated everyday life. We have never had access to more information at the touch of our fingers, or been more connected than we are now.

However, the exponential advancement of the internet has brought along with it a whole host of problems, such as the rampant spread of fake news, deep fake technology, significant data breaches, and hacking, to name a few.

The further advancement of the internet, and particularly AI, is inevitable, as the full potential of their capabilities are far from being reached. But how do we advance in a way that both further optimises our lives but simultaneously protects us from further misuse?

The Spatial Web

Tom Lawry Talks of Machine Learning and Microsoft AI For Good in Healthcare

Deploying “AI for Good” In The Life Sciences — Tom Lawry, National Director for Artificial Intelligence, Health & Life Sciences, Microsoft, joins me on ideaXme to discuss how they are deploying artificial intelligence “at scale”, across the major organizations responsible for delivery quality, next generation healthcare to millions of patients and customers — #Ideaxme #Microsoft #ArtificialIntelligence #MachineLearning #DeepLearning #Health #Healthcare #Wellness #Medicine #Pharmacy #Hospitals #Nursing #Insurance #Diagnostics #Data #Moonshots #Biotechnology #Longevity #LifeExtension #Aging #IraPastor #Bioquark #Regenerage


Ira Pastor, ideaXme life sciences ambassador, interviews Tom Lawry, National Director for Artificial Intelligence — Health & Life Sciences at Microsoft.

Ira Pastor Comments:

A set of tools that we have been hearing quite a bit about (and discussed a bit on the show) in recent years is the triad of artificial intelligence, machine learning, and deep learning and their respective applications (primarily in the drug discovery and development processes), in terms how university labs and startups are using some of these tools to better guide the rational drug design process, or more appropriately select patients for a clinical trial, per the field of personalized medicine.

Today we are going to go to the far end of the spectrum, to a view of the potential of these tools at “scale”, when they need to be deployed across the mega enterprises responsible for delivery quality, next generation healthcare to millions of customers.