Lifeboat Foundation

The researchers revealed that deep convolutional neural networks were insensitive to configural object properties.

Deep convolutional neural networks (DCNNs) do not view things in the same way that humans do (through configural shape perception), which might be harmful in real-world AI applications. This is according to Professor James Elder, co-author of a York University study recently published in the journal iScience.

The study, which conducted by Elder, who holds the York Research Chair in Human and Computer Vision and is Co-Director of York’s Centre for AI & Society, and Nicholas Baker, an assistant psychology professor at Loyola College in Chicago and a former VISTA postdoctoral fellow at York, finds that deep learning models fail to capture the configural nature of human shape perception.

The gentle system uses a soft micro finger that allows for safe interaction with insects and other microscopic objects.

Entomophilous out there, ever wanted to cuddle a bug? Brush through the tiny wings of a dragonfly? Tickle insects? Researchers in Japan have created what you’ve always wanted — a soft micro-robotic finger that allows humans to directly interact with insects at previously inaccessible scales.

Previously, we did have access to insect environments. For example, microbots could interact with the environment at much smaller scales, and microsensors were used to measure forces exerted by insects during flight or walking. However, most of these studies only focused on measuring insect behavior instead of direct insect-microsensor interaction.

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Similar to a mouse racing through a maze, making “yes” or “no” decisions at every intersection, researchers have developed a way for machines to swiftly learn all the twists and turns in a complex data system.

“Our method may help improve the diagnosis of urinary diseases, the imaging of cardiac conditions and analysis of financial risks,” reported Abd-AlRahman Rasheed AlMomani of Embry-Riddle Aeronautical University’s Prescott, Arizona, campus.

The research was accepted for the Nov. 11 edition of the journal Patterns with Jie Sun and Erik Bollt of Clarkson University’s Center for Complex Systems Science. The goal of the work is to more efficiently analyze binary (“Boolean”) data.

Spin glasses are alloys formed by noble metals in which a small amount of iron is dissolved. Although they do not exist in nature and have few applications, they have nevertheless been the focus of interest of statistical physicists for some 50 years. Studies of spin glasses were crucial for Giorgio Parisi’s 2021 Nobel Prize in Physics.

The scientific interest of spin glasses lies in the fact that they are an example of a complex system whose elements interact with each other in a way that is sometimes cooperative and sometimes adversarial. The mathematics developed to understand their behavior can be applied to problems arising in a variety of disciplines, from ecology to machine learning, not to mention economics.

Spin glasses are magnetic systems, that is, systems in which individual elements, the spins, behave like small magnets. Their peculiarity is the co-presence of ferromagnetic-type bonds, which tend to align the spins, with antiferromagnetic-type bonds, which tend to orient them in opposite directions.

The US observed Russian naval vessels preparing for a possible test of a new nuclear-powered torpedo in recent weeks, a senior US official with direct knowledge told CNN.

Among the vessels which took part in the preparations was the Belgorod, a cruise missile submarine modified for special operations that is able to launch unmanned underwater vehicles including the Poseidon torpedo.

In the last week, the vessels were observed leaving the testing area in the Arctic Sea and heading back to port without carrying out a test. The US believes the Russians may have encountered technical difficulties.

Many of the protein shapes are from organisms that are completely unknown to science.

Successfully navigating the 5G transformation requires automation every step of the way—from network planning and preparation through implementation and monetization. 5G has made the consumers more empowered and demanding and this creates a need for CSPs to monetize beyond data bundles and introduce indirect monetization mechanisms. What CSPs must now do is look at investing in platforms that enable them to monetize innovative 5G business models.

CSPs have a huge opportunity to create new complex products and solutions for the B2B2C market assembled with the help of multiple partners. But this isn’t just a one-way opportunity. The biggest benefit of this model is the CSPs’ ability to participate in value chains and ecosystems that are orchestrated jointly with partners. CSPs will increasingly use partners to extend owned capabilities across product cocreation, marketing, sales, delivery, and customer support.

Moreover, CSPs need to evolve towards becoming service enablers and partner with businesses, developers, and other players across different domains and industries in order to create unique 5G service offerings to differentiate themselves in the market. To find success in the 5G era, they will need to maintain an ecosystem of partners that allow them to innovate and expand its reach across industry verticals. This will result in automated processes, the ability to launch any partner model, reduced time to market and reduced operational costs.

face_with_colon_three circa 2012.

It is shown that the idea of a photon rocket through the complete annihilation of matter with antimatter, first proposed by Sänger, is not a utopian scheme as it is widely believed. Its feasibility appears to be possible by the radiative collapse of a relativistic high current pinch discharge in a hydrogen–antihydrogen ambiplasma down to a radius determined by Heisenberg’s uncertainty principle. Through this collapse to ultrahigh densities the proton–antiproton pairs in the center of the pinch can become the upper gigaelectron volt laser level for the transition into a coherent gamma ray beam by proton–antiproton annihilation, with the magnetic field of the collapsed pinch discharge absorbing the recoil momentum of the beam and transmitting it by the Moessbauer effect to the spacecraft. The gamma ray laser beam is launched as a photon avalanche from one end of the pinch discharge channel. Because of the enormous technical problems to produce and store large amounts of anti-matter, such a propulsion concept may find its first realization in small unmanned space probes to explore nearby solar systems. The laboratory demonstration of a gigaelectron volt gamma ray laser by comparison requiring small amounts of anti-matter may be much closer.

Insilico Medicine is radiating heat amid the biotech winter, kindling its fires with a Sanofi collaboration that could be worth up to $1.2 billion in biobucks—the AI drug discovery company’s larges | Insilico Medicine is radiating heat amid the biotech winter, kindling its fires with a Sanofi collab that could be worth up to $1.2 billion in biobucks—the AI drug discovery company’s largest deal to date.