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Κυριακή 10 Νοεμβρίου 2024

Η πρόκληση της Θεολογίας: το γονιδίωμα και η εξέλιξη του - Καθ. Στυλιανό...

Ημερίδα "Μοριακή Βιολογία & Γενετική" - Επ. Παιδείας ΠΕΒ

Πολεμικό Μουσείο: Προσεγγίζοντας την αρχαία ελληνική στρατιωτική τεχνολο...

Αρχαία Ελληνική Τεχνολογία

Θεοδόσιος Τάσιος: Η αρχαία ελληνική τεχνολογία- Ένας "κρυμμένος" υψηλός ...

Σάββατο 9 Νοεμβρίου 2024

Θεοδόσης Τάσιος: η τεχνολογία στην αρχαιότητα @ FEST11

Ομιλία για το Έργο του Αριστοτέλη του κ. Θεοδόση Τάσιου

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«Το Σύμπαν πριν και μετά τη μεγάλη έκρηξη» Δευτέρα 24 Φεβρουαρίου 2020

Δρ. Μάνος Δανέζης "Αυτό είναι το Σύμπαν της Σύγχρονης Επιστημονικής Γνώσ...

Τετάρτη 30 Οκτωβρίου 2024

θανατος, ζωη, και μια τριτη κατασταση

θανατος, ζωη, και μια τριτη κατασταση 

Scientists discover a ‘third state’ between life and death

So, to break it down even further, third state ‘beings’ are those that can undertake new functions after death. This means cancer cells are also excluded, since they don’t exhibit new fun
ctions either. Going back to the anthrobots, they were taken from human lung cells. But somehow they managed to repair damaged neuron cells placed in a nearby petri dish. They managed to move by using their own hair like projections, also known as cilia (Picture: Getty)

Τετάρτη 16 Οκτωβρίου 2024

Chemistry Nobel Awarded for an AI System That Predicts Protein Structures

 Chemistry Nobel Awarded for an AI System Chem That Predicts Protein Structures

• Physics 17, 149
The algorithm called AlphaFold has now been used to predict structures for all known proteins.
K. Dill/Stony Brook University
The protein-folding process can be represented as a pathway through an energy landscape. Protein molecules start out at the highest energies as chains of amino acids (upper edges of the funnel shape) and drop to lower energies as they fold into their final stable structures (bottom of the funnel).

The Nobel prize for Chemistry has been awarded this year for work on the computational design and structural prediction of protein molecules. Half of the prize goes to David Baker of the University of Washington and half jointly to Demis Hassabis and John M. Jumper of the artificial intelligence (AI) company Google DeepMind, based in London.

With the 2024 physics Nobel Prize given to researchers for their foundational work on the neural networks used by today’s AI systems, the chemistry prize further emphasizes the transformative effect such machine learning algorithms are having in many fields. The chemistry award “recognizes how AI is supercharging science,” says Frances Arnold of the California Institute of Technology, a chemistry Nobel laureate for her work on creating non-natural enzymes with new functions.

Nobel Prize: Mimicking Human Intelligence with Neural Networks


Ορισμένες διεργασίες στον εγκέφαλο, όπως η αναγνώριση και η ταξινόμηση, μπορούν να μοντελοποιηθούν ως αλληλεπιδράσεις τεχνητών νευρώνων, ή «κόμβων», σε ένα εξαιρετικά διασυνδεδεμένο δίκτυο. Αυτή η εμπνευσμένη από τη φυσική προσέγγιση στην ανθρώπινη μάθηση έχει αναγνωριστεί με το Βραβείο Νόμπελ Φυσικής 2024. Ο John Hopfield από το Πανεπιστήμιο του Πρίνστον και ο Geoffrey Hinton από το Πανεπιστήμιο του Τορόντο μοιράζονται το φετινό βραβείο για την εργασία τους στα τεχνητά νευρωνικά δίκτυα, τα οποία έχουν γίνει η βάση πολλών τεχνολογιών τεχνητής νοημοσύνης (AI), όπως συστήματα αναγνώρισης προσώπου και chatbot.

Κυριακή 28 Ιουλίου 2024

Quantum dance of entangled photons captured in real-time

Quantum dance of entangled photons captured in real-time 



Dr. Alessio D'Errico, a postdoctoral fellow at the University of Ottawa and co-author of the study, highlighted the remarkable efficiency of this approach.

"This method is exponentially faster than previous techniques, requiring only minutes or seconds instead of days," D'Errico explained.

"Importantly, the detection time remains unaffected by the complexity of the system, providing a solution to the long-standing scalability challenge in projective tomography."

Implications for quantum technology

This breakthrough represents a significant achievement for academic research while holding profound implications for the future of quantum technology.

By facilitating faster and more accurate characterization of quantum states, this innovative method can propel advancements in quantum communication, quantum computing, and quantum imaging techniques.

For example, enhancing our understanding and manipulation of entangled states could pave the way for more secure communication channels and advanced computational systems that surpass the capabilities of classical computers.

Entangled photons and the quantum future

The potential applications are both vast and diverse. In the realm of quantum computing, precise control over quantum states is essential for creating algorithms capable of solving problems deemed impossible by traditional computers.

In quantum communication, secure data transmission can be realized by leveraging the unique properties of entangled particles.

Moreover, quantum imaging stands to benefit as well, offering the possibility of high-resolution imaging at previously unattainable scales and sensitivities.

This research not only addresses fundamental questions about the nature of reality at the quantum level, but it also lays the groundwork for practical applications that have the potential to transform industries and enhance our everyday lives.

The future of quantum technology looks brighter than ever, thanks to the pioneering work of brilliant scientists like Dr. Alessio D'Errico and his international collaborators.

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Look Also : Quantum entanglement does, in fact, follow a rule of entropy (msn.com)

ΚΤ.Μήπως κάπου εδώ βρίσκεται η δυνατότητα διάκρισης ενός συστηματος ΤΝ από μια αυθεντική ύπαρξη?