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That might explain things…


There may soon be serious financial and legal ramifications to the proliferation of deepfake technology. The Wall Street Journal reported last week that a UK energy company’s chief executive was tricked into wiring €200,000 to a Hungarian supplier because he believed his boss was instructing him to do so. Instead, it was a thief using deepfake tech.

In this age of “big data,” artificial intelligence (AI) has become a valuable ally for scientists. Machine learning algorithms, for instance, are helping biologists make sense of the dizzying number of molecular signals that control how genes function. But as new algorithms are developed to analyze even more data, they also become more complex and more difficult to interpret. Quantitative biologists Justin B. Kinney and Ammar Tareen have a strategy to design advanced machine learning algorithms that are easier for biologists to understand.

The algorithms are a type of artificial neural network (ANN). Inspired by the way neurons connect and branch in the brain, ANNs are the computational foundations for advanced machine learning. And despite their name, ANNs are not exclusively used to study brains.

Biologists, like Tareen and Kinney, use ANNs to analyze data from an experimental method called a “massively parallel reporter assay” (MPRA) which investigates DNA. Using this data, quantitative biologists can make ANNs that predict which molecules control in a process called gene regulation.

Moon’s southern pole will be a good spot for an observatory that together with space-based telescopes help find dangerous asteroids. Russia plans to build one as part of an ambitious lunar base project.

Conquering the moon is on the Russian space agency’s to-do list for the not-so-distant future. Roscosmos is currently working on a comprehensive plan that the Russian government wants to see before allocating any money for it. Part of a permanent Russian base envisioned on the Moon will be given to an observatory that will serve as part of a “global system for tracking asteroid and comet threats,” a senior Roscosmos official said in a recent interview.

“The location selected for the base is southern pole of the moon. It has favorable relief and conditions: enough light for solar panels, constantly shadowed craters with ice reserves for fuel and raw material,” Aleksandr Bloshenko explained.

In terms of the number and scale of its success stories, the 2010s have a good claim for being the greatest 10 years in the history of artificial intelligence. What were the biggest advances in A.I. over the past decade? Digital Trends takes a trip down recent memory lane.

All evidence points to the fact that the singularity is coming (regardless of which futurist you believe).


But what difference does it make? We are talking about a difference of just 15 years. The real question is, is the singularity actually on its way?

At the World Government Summit in Dubai, I spoke with Jürgen Schmidhuber, who is the Co-Founder and Chief Scientist at AI company NNAISENSE, Director of the Swiss AI lab IDSIA, and heralded by some as the “father of artificial intelligence” to find out.

He is confident that the singularity will happen, and rather soon. Schmidhuber says it “is just 30 years away, if the trend doesn’t break, and there will be rather cheap computational devices that have as many connections as your brain but are much faster,” he said.