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Supercomputer in your bedroom


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IMAGE: Dr James Knight and Prof Thomas Nowotny of the University of Sussex School of Engineering and Informatics.
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Credit: Stuart Robinson/University of Sussex
University of Sussex academics have established a method of turbocharging desktop PCs to give them the same capability as supercomputers worth tens of millions of pounds.
Dr James Knight and Prof Thomas Nowotny from the University of Sussex s School of Engineering and Informatics used the latest Graphical Processing Units (GPUs) to give a single desktop PC the capacity to simulate brain models of almost unlimited size.
The researchers believe the innovation, detailed in ....

James Knight , Eugene Izhikevich , Thomas Nowotny , University Of Sussex , University Of Sussex School Engineering , Research Fellow In Computer Science , Prof Thomas Nowotny , Graphical Processing Units , Nature Computational Science , Research Fellow , Computer Science , ஜேம்ஸ் நைட் , தாமஸ் நோவோதனி , பல்கலைக்கழகம் ஆஃப் சசெக்ஸ் , பல்கலைக்கழகம் ஆஃப் சசெக்ஸ் பள்ளி பொறியியல் , ஆராய்ச்சி சக இல் கணினி அறிவியல் , ப்ரொஃப் தாமஸ் நோவோதனி , இயற்கை கணக்கீட்டு அறிவியல் , ஆராய்ச்சி சக , கணினி அறிவியல் ,

To Treat Alzheimer's, Try Inciting a More Frenzied Amyloid Dance


To Treat Alzheimer’s, Try Inciting a More Frenzied Amyloid Dance
Amyloid-β plaques and tau in the brain. [National Institute on Aging/National Institutes of Health]
January 14, 2021
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Amyloid proteins are inherently disordered, adopting shape after shape as though they were dancers anxious to satisfy a mad choreographer. Seen this way, amyloid proteins might seem pitiable. But amyloid proteins are best kept in a frenzy, suggest researchers based at Cambridge University. These researchers, led by Michele Vendruscolo, PhD, have found that amyloid proteins may be less likely to aggregate and form Alzheimer’s plaques if they are subject to a choreography that keeps them maximally disordered. ....

United Kingdom , Michele Vendruscolo , Cambridge University , Cambridge Centre For Misfolding Diseases , Google Research , Cambridge Yusuf Hamied Department , University Of Milan , Nature Computational Science , Google Compute Engine , Yusuf Hamied , ஒன்றுபட்டது கிஂக்டம் , கேம்பிரிட்ஜ் பல்கலைக்கழகம் , கூகிள் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் மிலன் , இயற்கை கணக்கீட்டு அறிவியல் , கூகிள் கணக்கிடு இயந்திரம் ,

Following the hops of disordered proteins could lead to future treatments of Alzheimer's disease


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Researchers from the University of Cambridge, the University of Milan and Google Research have used machine learning techniques to predict how proteins, particularly those implicated in neurological diseases, completely change their shapes in a matter of microseconds.
They found that when amyloid beta, a key protein implicated in Alzheimer s disease, adopts a highly disordered shape, it actually becomes less likely to stick together and form the toxic clusters which lead to the death of brain cells.
The results, reported in the journal
Nature Computational Science, could aid in the future development of treatments for diseases involving disordered proteins, such as Alzheimer s disease and Parkinson s disease. ....

United Kingdom , Michele Vendruscolo , Cambridge Centre For Misfolding Diseases , University Of Cambridge , Google Research , Cambridge Yusuf Hamied Department Of Chemistry , University Of Milan , Nature Computational Science , Professor Michele Vendruscolo , Misfolding Diseases , Yusuf Hamied Department , Cell Biology , Chemistry Physics Materials Sciences , Alzheimers Disease , Parkinsons Disease , Computer Science , ஒன்றுபட்டது கிஂக்டம் , பல்கலைக்கழகம் ஆஃப் கேம்பிரிட்ஜ் , கூகிள் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் மிலன் , இயற்கை கணக்கீட்டு அறிவியல் , செல் உயிரியல் , வேதியியல் இயற்பியல் பொருட்கள் அறிவியல் , உயிர் வேதியியல் , அல்சைமர் நோய் , பார்கின்சன்ஸ் நோய் ,

Experts reduce search times for novel high-entropy alloys 13,000-fold using Cuckoo Search


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IMAGE: A major roadblock to computational design of high-entropy alloys has been removed, according to scientists at Iowa State University and Lehigh University. Engineers from the Ames Lab and Lehigh University s.
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Credit: Ames Laboratory, U.S. Department of Energy
A major roadblock to computational design of high-entropy alloys has been removed, according to scientists at Iowa State University and Lehigh University. Engineers from the Ames Lab and Lehigh University s Department of Mechanical Engineering and Mechanics have developed a process that reduces search time used for predictive design 13,000-fold.
According to Ganesh Balasubramanian, an associate professor at Lehigh, the goal of the team s research was to accelerate the computational modeling of complex alloys. The tools available for creating random distribution of atoms in materials simulation models, he says, have been used for many, many years now and are limited in the ....

Rahul Singh , Prashant Singh , Ganesh Balasubramanian , Aayush Sharma , Duaned Johnson , Lehigh University , Ames Laboratory , Lehigh University Department Of Mechanical Engineering , Iowa State University , National Science Foundation , Games Lab , Mechanical Engineering , Cuckoo Search , Nature Computational Science , Energy Office , Science National Laboratory , Iowa State , Chemistry Physics Materials Sciences , Algorithms Models , Technology Engineering Computer Science , Computer Science , Research Development , Robotry Artificial Intelligence , ராகுல் சிங் , பிரஷண்ட் சிங் , கணேஷ் பாலசுப்ரமணியன் ,