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Neuromorphic Chipsets - Industry Adoption Analysis

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Von Neumann Architecture Neuromorphic Architecture Neuromorphic architectures address challenges like high power consumption, low speed, and other efficiency-related bottlenecks prevalent in the traditional von Neumann architecture Architecture Bottleneck CPU Memory Neuromorphic architectures integrate processing and storage, getting rid of the bus bottleneck connecting the CPU and memory Encoding Scheme and Signals Unlike the von Neumann architecture with sudden highs and lows in the form of binary encoding, neuromorphic chips offer a continuous analog transition in the form of spiking signals Devices and Components CPU, memory, logic gates, etc. Artificial neurons and synapses Neuromorphic devices and components are more complex than logic gates Versus Versus Versus 10. NEUROMORPHIC CHIPSETS 10 SAMPLE REPORT Neuromorphic Chipsets vs. GPUs Parameters Neuromorphic Chips GPU Chips Basic Operation Based on the emulation of the biological nature of neurons onto a chip Use parallel processing to perform mathematical operations Parallelism Inherent parallelism enabled by neurons and synapses Require the development of architectures for parallel processing to handle multiple tasks simultaneously Data Processing High High Power Low Power-intensive Accuracy Low High Industry Adoption Still in the experimental stage More accessible Software New tools and methodologies need to be developed for programming neuromorphic hardware Easier to program than neuromorphic silicons Memory Integrated memory and neural processing Use of an external memory Limitations • Not suitable for precise calculations and programming- related challenges • Creation of neuromorphic devices is difficult due to the complexity of interconnections • Thread limited • Suboptimal for massively parallel structures Neuromorphic chipsets are at an early stage of development, and would take approximately 20 years to be at the same level as GPUs. The asynchronous operation of neuromorphic chips makes them more efficient than other processing units.


Atos and C-DAC Sign Cooperation Agreement

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C-DAC (Centre for Development of Advanced Computing), a national premier R&D organization under Ministry of Electronics and Information Technology, Government of India, and Atos1, a global leader in digital transformation, today announce that they have signed a Cooperation Agreement for technology advancement in the areas of Quantum Computing, Artificial Intelligence and Exascale Computing. Dr Hemant Darbari, Founder Member and Director General, C-DAC, India is spearheading the C-DAC Mission Mode Programs on Exascale Computing, Microprocessor and Quantum Computing, Artificial Intelligence and Natural Language Computing of national importance. In addition to delivering an Atos' Quantum Learning Machine, the world's highest-performing commercially available quantum simulator, this partnership encompasses the creation of a'Quantum Computing Experience Center' at C-DAC's headquarters in Pune. It aims to bring together users from academic, scientific, research and industry to rapidly acquire skills and develop further expertise in the field of quantum computing with the support from the Government of India. This center will enable advance study of applications of quantum theory, thereby creating new technologies and platforms for information security, connectivity and computing.


Atos and C-DAC Sign Cooperation Agreement

#artificialintelligence

C-DAC (Centre for Development of Advanced Computing), a national premier R&D organization under Ministry of Electronics and Information Technology, Government of India, and Atos1, a global leader in digital transformation, today announce that they have signed a Cooperation Agreement for technology advancement in the areas of Quantum Computing, Artificial Intelligence and Exascale Computing. Dr Hemant Darbari, Founder Member and Director General, C-DAC, India is spearheading the C-DAC Mission Mode Programs on Exascale Computing, Microprocessor and Quantum Computing, Artificial Intelligence and Natural Language Computing of national importance. In addition to delivering an Atos' Quantum Learning Machine, the world's highest-performing commercially available quantum simulator, this partnership encompasses the creation of a'Quantum Computing Experience Center' at C-DAC's headquarters in Pune. It aims to bring together users from academic, scientific, research and industry to rapidly acquire skills and develop further expertise in the field of quantum computing with the support from the Government of India. This center will enable advance study of applications of quantum theory, thereby creating new technologies and platforms for information security, connectivity and computing.


Quantica Computacao-First Indian Quantum Startup – Bhagvan Kommadi – Medium

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Vision:"To push the quantum computing advancement by creating a cloud developing environment so that every one in the country can take part in this next industrial revolution" Quantum Mechanics is a branch of science emerged in the early 20th century. By the tremendous work of Max Planck, Einstein, Linus Pauli, de Broglie etc, the quantum mechanical science flourished and proved to be the basic inner working of the universe. As we move along, the way through with all the possible thing in the universe works based on the fundamental principles of quantum mechanics. As technology evolved, humans mastered the ability to manipulate the fundamental particles and make everything works from medicine to computer. In the early 80, renowned physicist Von Newman along with other giants like Richard Feynman, David Deutsch conceived the concept of computational devices which takes advantages of quantum mechanical principles.


Intel, NVIDIA battle it out in data centre market - The Economic Times

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BENGALURU: Intel and NVIDIA battle are locked in new battle for turf, the booming data centre market and at the heart of this skirmish the technology that's changing the world: Artificial Interlligence (AI). In the recent quarter ended April 30, NVIDIA's revenue increased by 48% reaching $1.94 billion compared to previous year. A big revenue bump came from its Data centre business which recorded $409 million revenue in the first quarter of this fiscal, up 186% year-on-year. The reason for the exponential increase is the spike in demand for a specific kind of microprocessor called Graphic Processing Unit (GPU) made by NVIDIA. Large technology companies like Google, Amazon, Microsoft, Facebook, IBM, and Alibaba have all installed NVIDIA's elite Tesla GPUs to power their data centres to perform machine learning to analyse data gathered from the cloud and derive insights.


Popular mobile game 'Pokemon Go' lands on Apple Watch

Daily Mail - Science & tech

Pandora up close: Nasa releases stunning image from... Meet Tiny, the smallest snowman in the world: Researchers... Sex robots should be used in old people's homes and to help... Watch the giant MEGABOT pick up a car: 16 foot fighting... Pandora up close: Nasa releases stunning image from... Meet Tiny, the smallest snowman in the world: Researchers... Sex robots should be used in old people's homes and to help... Watch the giant MEGABOT pick up a car: 16 foot fighting... In some areas, players may be more likely to encounter the same type of Pokémon on more than one occasion. A Pokemon Go player attempts to catch a Charmander character in New Delhi, India. The popular augmented reality mobile game is coming to the Apple Watch, squashing rumors that the game's maker was scrapping such plans. Plans for the watch version had been announced at Apple's iPhone launch event in September.