Lifeboat Foundation

Deep-learning neural networks have come a long way in the past several years—we now have systems that are capable of beating people at complex games such as shogi, Go and chess. But is the progress of such systems limited by their basic architecture? Shimon Ullman, with the Weizmann Institute of Science, addresses this question in a Perspectives piece in the journal Science and suggests some ways computer scientists might reach beyond simple AI systems to create artificial general intelligence (AGI) systems.

Deep learning networks are able to learn because they have been programmed to create artificial neurons and the connections between them. As they encounter new data, new neurons and communication paths between them are formed—very much like the way the human brain operates. But such systems require extensive training (and a feedback system) before they are able to do anything useful, which stands in stark contrast to the way that humans learn. We do not need to watch thousands of people in action to learn to follow someone’s gaze, for example, or to figure out that a smile is something positive.

Ullman suggests this is because humans are born with what he describes as preexisting network structures that are encoded into our neural circuitry. Such structures, he explains, provide growing infants with an understanding of the physical world in which they exist—a base upon which they can build more complex structures that lead to general intelligence. If computers had similar structures, they, too, might develop physical and social skills without the need for thousands of examples.

According to most astrophysicists, once you enter a black hole, that’s it for you: gravity will drag you to the singularity — a one-dimensional infinitely small space containing a huge mass — at the speed of light. Then, the black hole will ‘spaghettify you”. Nice.

However, a new study from Berkley University theorises not only that humans could survive going into a black hole, but that their past could be erased, giving way to “infinite futures”.

Physicist Peter Hintz argues that if a human traveller entered a “relatively benign” black hole, they might be able to shed the natural laws of physics — and survive.

Continue reading “There’s a black hole that could erase your past and let you live out infinite futures, study suggests” »

A toxic antibody is the latest weapon to show promise as a broad spectrum treatment for multiple forms of advanced cancer.

Dubbed a ‘Trojan horse’ approach to chemotherapy, the new drug has proven itself worthy of moving up the chain of clinical trials to being tested on a greater variety of patients. It’s not a fabled cure-all, but this approach might be as close as we’re going to get.

Researchers from The Institute of Cancer Research, London, and The Royal Marsden NHS Foundation Trust tested the new treatment in a clinical trial involving 147 patients to evaluate its potential benefits and risks of side effects.

Continue reading “This New ‘Trojan Horse’ Drug Successfully Treated 6 Types of Cancer Tumor” »

There are a lot of people who like to claim themselves as “supremely logical.” The ones who insist that their every thought is controlled by reason and not emotions. Of course, this is incorrect. Outside of people with certain kinds of brain damage, people are not logical beings. Especially since there’s no definition of logic that fits the definition of what lot’s of people refer to as logic.

Why so many men online love to use “logic” to win an argument, and then disappear before they can find out they’re wrong.

SpaceX is building a steel launch system called Starship for the moon and Mars, but some aerospace experts say Elon Musk’s new design won’t be easy.

Ah, warm weather. It’s time for t-shirts, backyard barbecues, pool parties, and madly swatting at mosquitoes as the biting insects come out from hiding to make our outdoor experiences miserable.

There are some traditional ways of fighting off the flying pests. You can slather on insect-repellent sprays and lotions, light citronella candles, or just keep smacking the bugs when they land on you. Or you can try out some newer methods, including interesting gadgets that take on the problem.

You may even have heard about smartphone apps that are designed to deter mosquitoes, but there’s something you need to know about those.

Continue reading “Best apps and gadgets to repel mosquitoes” »

Germaphobes rejoice: you can now check in with confidence, thanks to this nifty little device.

Advertise with NZME.

The robot uses UV light to scour surfaces – including bed sheets – without the need for harmful chemicals or manual labour. This method is found to be effective against 99.9 per cent of pathogens tucked away in the fabric of hotel suites.

Continue reading “Travel-friendly robot cleans your hotel bed with artificial intelligence” »

In our daily lives, we can find many examples of manipulation of reflected waves such as mirrors to see our reflections or reflective surfaces for sound that improve auditorium acoustics. When a wave impinges on a reflective surface with a certain angle of incidence and the energy is sent back, the angle of reflection is equal to the angle of incidence. This classical reflection law is valid for any homogenous surface. Researchers at Aalto University have developed new metasurfaces for the arbitrary manipulation of reflected waves, essentially breaking the law to engineer the reflection of a surface at will.

Metasurfaces are artificial structures, composed of periodic arranged of meta-atoms at subwavelength scale. Meta-atoms are made of traditional materials but, if they are placed in a periodic manner, the surface can show many unusual effects that cannot be realized by the materials in nature. In their article published 15 February 2019 in Science Advances, the researchers use power-flow conformal metasurfaces to engineer the direction of reflected waves.

‘Existing solutions for controlling reflection of waves have low efficiency or difficult implementation,’ says Ana Díaz-Rubio, postdoctoral researcher at Aalto University. ‘We solved both of those problems. Not only did we figure out a way to design high efficient metasurfaces, we can also adapt the design for different functionalities. These metasurfaces are a versatile platform for arbitrary control of reflection.’

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