Taking inspiration from nature, a group of scientists have amalgamated hybrid materials to form a robust biomimetic system that closely mimics the behavior of biological synapses. This can pave the path towards a new wave of innovation in computing with breakthroughs in robotics, machine learning, and real-time data processing.

A new study on how a quantum system can outperform its classical counterpart reshapes our understanding of what is possible with quantum systems and hints at a future where quantum technologies might solve problems classical computers cannot, even when resources are scarce. Recently, researchers from the S. N. Bose National Center for Basic Sciences, an autonomous institute of the Department of Science and Technology, working alongside the teams from the Henan Key Laboratory of Quantum Information and Cryptography, Laboratoire d’Information Quantique, University libre de Bruxelles, and ICFO-the Barcelona Institute of Science and Technology, have made a breakthrough.

Researchers have explored the mechanism behind the emerging property of recently discovered exotic disordered state of matter, known as “hyperuniformity�. Hyperuniformity is a property of certain heterogeneous media in which density fluctuations in the long-wavelength range decay to zero. Hyperuniform disordered materials have been observed in a variety of settings, such as in quasicrystals, large-scale structures of universe, soft and biological emulsions and colloids, etc.

Researchers from S. N. Bose National Centre for Basic Sciences, an autonomous Institute of the Department of Science and Technology (DST), have introduced a novel method for synthesizing amides from alcohols using a Covalent Organic Framework (COF) as a photocatalyst under red light irradiation. This catalytic method can be helpful in chemical processes across various industries, including pharmaceutical manufacturing, materials science, and green chemistry - offering a more sustainable, efficient, and recyclable approach to creating vital chemical structures.