Lifeboat Foundation

NASA’s Perseverance Mars rover recently attempted its first-ever sample collection of the Martian surface on August 6. However, data shows that while the rover’s drill successfully drilled into the surface, no regolith was collected in the sample tube.

Meanwhile, as Perseverance was preparing for the sample collection event, a team of researchers using ESA’s Mars Express orbiter found evidence that previously thought of lakes of water underneath Mars’ south pole might actually be made of clay.

Perseverance’s sample collection failure

Continue reading “Perseverance’s first sample collection fails, new science points to subsurface Martian clay lakes” »

A group of scientists has introduced a new GAN that can turn your sketches into realistic pictures.

Lurking in the background of the quest for true quantum supremacy hangs an awkward possibility – hyper-fast number crunching tasks based on quantum trickery might just be a load of hype.

Now, a pair of physicists from École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland and Columbia University in the US have come up with a better way to judge the potential of near-term quantum devices – by simulating the quantum mechanics they rely upon on more traditional hardware.

Their study made use of a neural network developed by EPFL’s Giuseppe Carleo and his colleague Matthias Troyer back in 2,016 using machine learning to come up with an approximation of a quantum system tasked with running a specific process.

Natural language processing continues to find its way into unexpected corners. This time, it’s phishing emails. In a small study, researchers found that they could use the deep learning language model GPT-3, along with other AI-as-a-service platforms, to significantly lower the barrier to entry for crafting spearphishing campaigns at a massive scale.

Researchers have long debated whether it would be worth the effort for scammers to train machine learning algorithms that could then generate compelling phishing messages. Mass phishing messages are simple and formulaic, after all, and are already highly effective. Highly targeted and tailored “spearphishing” messages are more labor intensive to compose, though. That’s where NLP may come in surprisingly handy.

At the Black Hat and Defcon security conferences in Las Vegas this week, a team from Singapore’s Government Technology Agency presented a recent experiment in which they sent targeted phishing emails they crafted themselves and others generated by an AI-as-a-service platform to 200 of their colleagues. Both messages contained links that were not actually malicious but simply reported back clickthrough rates to the researchers. They were surprised to find that more people clicked the links in the AI-generated messages than the human-written ones—by a significant margin.

AI is already pretty powerful when humans show it what to do. As it gets better at drawing smart conclusions on its own, the technology will enter a new “age of self.”

Summary: Artificial neural networks help researchers uncover new clues as to why people on the autism spectrum have trouble interpreting facial expressions.

Source: Tohoku University.

People with autism spectrum disorder have difficulty interpreting facial expressions.

No, it’s not forbidden to innovate, quite the opposite, but it’s always risky to do something different from what people are used to. Risk is the middle name of the bold, the builders of the future. Those who constantly face resistance from skeptics. Those who fail eight times and get up nine.

(Credit: Adobe Stock)

Fernando Pessoa’s “First you find it strange. Then you can’t get enough of it.” contained intolerable toxicity levels for Salazar’s Estado Novo (Portugal). When the level of difference increases, censorship follows. You can’t censor censorship (or can you?) when, deep down, it’s a matter of fear of difference. Yes, it’s fear! Fear of accepting/facing the unknown. Fear of change.

Continue reading “Innovation is a risk!” »

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You’re on PRO Robotics, and in this video we present the July 2,021 news digest. New robots, drones and drones, artificial intelligence and military robots, news from Elon Musk and Boston Dynamics. All the most interesting high-tech news for July in this Issue. Be sure to watch the video to the end and write in the comments, which news you are most interested in?

Continue reading “Digest | Newest Robots and Technologies of the Future | All July Technology News in One Issue” »

There’s no doubt that the digital computation of intelligence has yielded impressive results, including the variety of deep neural network architectures that are powering applications from computer vision to natural language processing. But despite the similarity of their results to what we perceive in humans, what they are doing is different from what the brain does, Raghavachary says.

The “considered response” theory zooms back and casts a wider net that all forms of intelligence, including those that don’t fit the problem-solving paradigm.

“I view intelligence as considered response in that sense, emanating from physical structures in our bodies and brains. CR naturally fits within the S->P paradigm,” Raghavachary said.