Posts Tagged ‘AI. the future’


World-renowned physicist Stephen Hawking has warned that artificial intelligence (AI) has the potential to destroy civilization and could be the worst thing that has ever happened to humanity.

Speaking at a technology conference in Lisbon, Portugal, Hawking told attendees that mankind had to find a way to control computers, CNBC reports.

“Computers can, in theory, emulate human intelligence, and exceed it,” he said. “Success in creating effective AI, could be the biggest event in the history of our civilization. Or the worst. We just don’t know. So we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it.”

Hawking said that while AI has the potential to transform society—it could be used to eradicate poverty and disease, for example—it also comes with huge risks.

And society, he said, must be prepared for that eventuality. “AI could be the worst event in the history of our civilization. It brings dangers, like powerful autonomous weapons, or new ways for the few to oppress the many. It could bring great disruption to our economy,” he said.

This is not the first time Hawking has warned about the dangers of AI. In a recent interview with Wired, the University of Cambridge Professor said it could one day reach a level where it outperforms humans and becomes a “new form of life.”

“I fear that AI may replace humans altogether,” he told the magazine. “If people design computer viruses, someone will design AI that improves and replicates itself. This will be a new form of life that outperforms humans.”

Even if AI does not take over the world, either by destroying or enslaving mankind, Hawking still believes human beings are doomed. Over recent years, he has become increasingly vocal about the need to leave Earth in search of a new planet to live on.

In May, he said humans have around 100 years to leave Earth in order to survive as a species. “I strongly believe we should start seeking alternative planets for possible habitation,” he said during a speech at the Royal Society in London, U.K. “We are running out of space on Earth and we need to break through the technological limitations preventing us from living elsewhere in the universe.”

The following month at the Starmus Festival in Norway, which celebrates science and art, Hawking told his audience that the current threats to Earth are “too big and too numerous” for him to be positive about the future.

“Our physical resources are being drained at an alarming rate,” he said. “We have given our planet the disastrous gift of climate change. Rising temperatures, reduction of the polar ice caps, deforestation and decimation of animal species. We can be an ignorant, unthinking lot.

“We are running out of space and the only places to go to are other worlds. It is time to explore other solar systems. Spreading out may be the only thing that saves us from ourselves. I am convinced that humans need to leave Earth.”

Thanks to Pete Cuomo for bringing this to the It’s Interesting community.


To create a new drug, researchers have to test tens of thousands of compounds to determine how they interact. And that’s the easy part; after a substance is found to be effective against a disease, it has to perform well in three different phases of clinical trials and be approved by regulatory bodies.

It’s estimated that, on average, one new drug coming to market can take 1,000 people, 12-15 years, and up to $1.6 billion. Here is a short video on the current process.

Last week, researchers published a paper detailing an artificial intelligence system made to help discover new drugs, and significantly shorten the amount of time and money it takes to do so.

The system is called AtomNet, and it comes from San Francisco-based startup AtomWise. The technology aims to streamline the initial phase of drug discovery, which involves analyzing how different molecules interact with one another—specifically, scientists need to determine which molecules will bind together and how strongly. They use trial and error and process of elimination to analyze tens of thousands of compounds, both natural and synthetic.

AtomNet takes the legwork out of this process, using deep learning to predict how molecules will behave and how likely they are to bind together. The software teaches itself about molecular interaction by identifying patterns, similar to how AI learns to recognize images.

Remember the 3D models of atoms you made in high school, where you used pipe cleaners and foam balls to represent the connections between protons, neutrons and electrons? AtomNet uses similar digital 3D models of molecules, incorporating data about their structure to predict their bioactivity.

As AtomWise COO Alexander Levy put it, “You can take an interaction between a drug and huge biological system and you can decompose that to smaller and smaller interactive groups. If you study enough historical examples of molecules…you can then make predictions that are extremely accurate yet also extremely fast.”

“Fast” may even be an understatement; AtomNet can reportedly screen one million compounds in a day, a volume that would take months via traditional methods.

AtomNet can’t actually invent a new drug, or even say for sure whether a combination of two molecules will yield an effective drug. What it can do is predict how likely a compound is to work against a certain illness. Researchers then use those predictions to narrow thousands of options down to dozens (or less), focusing their testing where there’s more likely to be positive results.

The software has already proven itself by helping create new drugs for two diseases, Ebola and multiple sclerosis. The MS drug has been licensed to a British pharmaceutical company, and the Ebola drug is being submitted to a peer-reviewed journal for additional analysis.

Thanks to Kebmodee for bringing this to the It’s Interesting community.