Techtroniks

Apple's M4 chip is officially here, debuting in the new iPad Pro at Apple's "Let Loose" event on May 7, 2024. Built using second-generation 3-nanometer technology, M4 is a system on a chip (SoC) that advances the industry-leading power efficiency of Apple silicon and enables the incredibly thin design of iPad Pro. It also features an entirely new display engine to drive the stunning precision, colour, and brightness of the breakthrough Ultra Retina XDR display on iPad Pro.   A new CPU has up to 10 cores , while the new 10-core GPU builds on the next-generation GPU architecture introduced in M3, and brings Dynamic Caching, hardware-accelerated ray tracing, and hardware-accelerated mesh shading to iPad for the first time. M4 has Apple’s fastest Neural Engine ever, capable of up to 38 trillion operations per second, which is faster than the neural processing unit of any AI PC today.  Combined with faster memory bandwidth, along with next-generation machine learning (M...

 A groundbreaking research paper released just few days ago introduces a novel neural network architecture called Kolmogorov-Arnold Networks (KANs). This new approach, inspired by the Kolmogorov-Arnold representation theorem, promises significant improvements in accuracy and interpretability compared to traditional Multi-Layer Perceptrons (MLPs). Let’s dive into what KANs are, how they work, and the potential implications of this exciting development. Kolmogorov-Arnold Networks (KANs) are promising alternatives of Multi-Layer Perceptrons (MLPs). KANs have strong mathematical foundations just like MLPs: MLPs are based on the universal approximation theorem, while KANs are based on Kolmogorov-Arnold representation theorem. KANs and MLPs are dual: KANs have activation functions on edges, while MLPs have activation functions on nodes. This simple change makes KANs better (sometimes much better!) than MLPs in terms of both model accuracy and interpretability. The Traditional Foundation:...

 What is a complementary metal-oxide semiconductor (CMOS)? A complementary metal-oxide semiconductor (CMOS) is the semiconductor technology used in most of today's integrated circuits (ICs), also known as chips or microchips. CMOS transistors are based on metal-oxide semiconductor field-effect transistor (MOSFET) technology. MOSFETs serve as switches or amplifiers that control the amount of electricity flowing between source and drain terminals, based on the amount of applied voltage. MOSFETs use semiconductor materials to conduct electricity under certain conditions but not others. A semiconductor falls somewhere between a conductor and insulator in terms of conductivity. It typically consists of silicon and a mix of impurities that together strike the right balance of conductivity. Silicon in its pure form is not conductive. The process of adding impurities to a material such as silicon is sometimes referred to as doping. Semiconductor doping can be applied in different degrees t...

 What is a neural network? A neural network is a machine learning (ML) model designed to mimic the function and structure of the human brain. Neural networks are intricate networks of interconnected nodes, or neurons, that collaborate to tackle complicated problems. Also referred to as artificial neural networks (ANNs) or deep neural networks, neural networks represent a type of deep learning technology that's classified under the broader field of artificial intelligence (AI) . Neural networks are widely used in a variety of applications, including image recognition, predictive modeling and natural language processing (NLP) . Examples of significant commercial applications since 2000 include handwriting recognition for check processing, speech-to-text transcription, oil exploration data analysis, weather prediction and facial recognition. How do neural networks work? An artificial neural network usually involves many processors operating in parallel and arranged in tiers or layer...

  Humans possess a continuous drive for improvement, leading to an ever-growing opportunity for technology. Silicon feeds a $574 billion industry that powers a global tech economy worth about $8 trillion — and the digital economy, on its own, accounts for more than 15% of the global GDP. AI represents a generational shift in computing that’s giving rise to what we dubbed the Siliconomy during the Intel Innovation 2023 event on Sept. 19-20. It’s a new era powered by silicon, where semiconductors are essential to maintaining and enabling modern economies. With that comes unprecedented challenges and the opportunity to create a better future for every person on the planet. Let’s look at the market dynamics and factors that feed into this concept we call Siliconomy: Global supply chain  The key cog to the entire ecosystem is the global supply chain — and it’s complicated. Today, 80% of the world’s semiconductors are produced in Asia. Semiconductor manufacturing that’s too concentr...

 The bionic consciousness , idea, and practice opened a unique path for the progress of mankind, the development of the society, and the innovation of science and technology from the subconscious bionic activities of the ancient humans to the significant bionic designs in modern engineering. Nowadays, driven by the practical demand of human beings, bionics becomes an important factor for the sustainable development of technology. A lot of new and outstanding innovations have been produced through the effective interactions between bionics, technology, and demand. The stronger the interactions, the greater the innovation success would be. In this article, the basic factors such as the connotation, characteristics, and interactions of bionic demands, bionic models, bionic simulations, and bionic products were explained, which are the indispensable basic knowledge for improving the ability of innovation especially for the original one, realizing the design and innovation of new techno...