Taiyo Yuden sees'scary' levels of AI parts demand risking supply chain Multilayer ceramic capacitors, which are tiny components that regulate and stabilize power flow in electronic devices, are becoming a growing bottleneck in the construction of artificial intelligence data centers. Taiyo Yuden is fielding "scary" levels of demand for its high-end artificial intelligence server components, stretching capacity and increasing the risk of supply chain hiccups. The Tokyo-based company, which makes multilayer ceramic capacitors, will likely need to accelerate spending to expand output capacity, Chief Executive Officer Katsuya Sase said in an interview. MLCCs, which are tiny components that regulate and stabilize power flow in electronic devices, are becoming a growing bottleneck in the construction of artificial intelligence data centers. Taiyo Yuden and Murata Manufacturing comprise the bulk of the world's supplies of high-end MLCCs. "The volumes we are seeing today -- it's scary," Sase said.

The total number of US Customs and Border Protection device searches jumped by 17 percent over the 2024 fiscal year, but more invasive forensic searches remain relatively rare. Over the Past year, United States Customs and Border Protection staff searched more phones and electronic devices at the border than ever before, according to new statistics published by the government agency. Phone searches jumped around 17 percent during the past 12 months--with a marked increase over the past six months. Newly published CBP figures show that for the full fiscal year of 2025--running from October 2024 to the end of September 2025--border agents conducted around 55,424 searches of electronic devices. This is up from around the 47,000 searches that were completed during the government's 2024 fiscal year.

The utilization of consumer electronics, such as televisions, set-top boxes, home theaters, and air conditioners, has become increasingly prevalent in modern society as technology continues to evolve. As new devices enter our homes each year, the accumulation of multiple infrared remote controls to operate them not only results in a waste of energy and resources, but also creates a cumbersome and cluttered environment for the user. This paper presents a novel system, named SimplyMime, which aims to eliminate the need for multiple remote controls for consumer electronics and provide the user with intuitive control without the need for additional devices. SimplyMime leverages a dynamic hand gesture recognition architecture, incorporating Artificial Intelligence and Human-Computer Interaction, to create a sophisticated system that enables users to interact with a vast majority of consumer electronics with ease. Additionally, SimplyMime has a security aspect where it can verify and authenticate the user utilising the palmprint, which ensures that only authorized users can control the devices. The performance of the proposed method for detecting and recognizing gestures in a stream of motion was thoroughly tested and validated using multiple benchmark datasets, resulting in commendable accuracy levels. One of the distinct advantages of the proposed method is its minimal computational power requirements, making it highly adaptable and reliable in a wide range of circumstances. The paper proposes incorporating this technology into all consumer electronic devices that currently require a secondary remote for operation, thus promoting a more efficient and sustainable living environment.

My colleagues and I have developed a flexible, stretchable electronic device that runs machine-learning algorithms to continuously collect and analyze health data directly on the body. The skin-like sticker, developed in my lab at the University of Chicago's Pritzker School of Molecular Engineering, includes a soft, stretchable computing chip that mimics the human brain. To create this type of device, we turned to electrically conductive polymers that have been used to build semiconductors and transistors. These polymers are made to be stretchable, like a rubber band. Rather than working like a typical computer chip, though, the chip we're working with, called a neuromorphic computing chip, functions more like a human brain.

The Research Brief is a short take about interesting academic work. My colleagues and I have developed a flexible, stretchable electronic device that runs machine-learning algorithms to continuously collect and analyze health data directly on the body. The skinlike sticker, developed in my lab at the University of Chicago's Pritzker School of Molecular Engineering, includes a soft, stretchable computing chip that mimics the human brain. To create this type of device, we turned to electrically conductive polymers that have been used to build semiconductors and transistors. These polymers are made to be stretchable, like a rubber band.

Research on artificial intelligence is becoming very active, and the development of artificial intelligence-based electronic devices and product releases are accelerating, especially in the Fourth Industrial Revolution age. To implement artificial intelligence in electronic devices, customized hardware development should also be supported. However most electronic devices for artificial intelligence require high power consumption and highly integrated memory arrays for large-scale tasks. It has been challenging to solve these power consumption and integration limitations, and efforts have been made to find out how the human brain solves problems. To prove the efficiency of the developed technology, the research group created artificial neural network hardware equipped with a self-rectifying synaptic array and algorithm called a'stashing system' that was developed to conduct artificial intelligence learning.

Researchers at the Indian Institute of Science (IISc) have developed a design framework to build next-generation analog computing chipsets that could be faster and require less power than the digital chips found in most electronic devices. Using their novel design framework, the team has built a prototype of an analog chipset called ARYABHAT-1 (Analog Reconfigurable technologY And Bias-scalable Hardware for AI Tasks). This type of chipset can be especially helpful for Artificial Intelligence (AI)-based applications like object or speech recognition--think Alexa or Siri--or those that require massive parallel computing operations at high speeds. Most electronic devices, particularly those that involve computing, use digital chips because the design process is simple and scalable. "But the advantage of analog is huge. You will get orders of magnitude improvement in power and size," explains Chetan Singh Thakur, assistant professor at the Department of Electronic Systems Engineering (DESE), IISc, whose lab is leading the efforts to develop the analog chipset.

Samsung has said it will build a $17bn (£12.7bn) The plant just outside Austin would be the South Korean company's biggest US investment and is expected to be operational in the second half of 2024. Samsung had also considered sites in Arizona and New York for the factory, which will be much bigger than its only other US chip plant, also in Austin. Samsung said the new facility would boost production of hi-tech chips used for 5G mobile communications, advanced computing and artificial intelligence, and also improve supply chain resilience. The chip shortage has become a significant business obstacle and a serious US national security concern.

Children's absorption in screens is a bane of modern parenting--and such dependency has reached alarming heights during the pandemic. Here are some parenting hacks to help wean your little ones off their electronic devices. The martial arts offer a safe platform for releasing energy while gaining valuable self-defense skills. Remember to set reasonable expectations--those flamboyant tornado kicks don't happen overnight. However, once you have attained mastery at the brown-belt level, you are ready to guard your phone or iPad from your children.

The five reasoning methods are also called the five tribes. They help to solve the Master Algorithm. Each of the five tribes has a different technique and strategy for solving problems that result in unique algorithms. If we are successful to combine these algorithms, then it will lead us to (theoretically) the master algorithm. These are defined by the Portugues author, Pedro Domingos in his book The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World.