A Ukrainian intelligence assessment has found that a single Iranian-made attack drone launched by Russia contained parts made by more than a dozen US companies. The Iranian Shahed-136 drone, downed during an attack last fall, contained 40 components manufactured by 13 different American companies, according to a CNN report citing the assessment. For months, Russia has been hammering Ukraine's civilian infrastructure with waves of drone attacks, which are designed to overwhelm air defenses and demoralize the population. Though the company that built the drones, Iran Aircraft Manufacturing Industries Corporation (HESA), has been under US sanctions since 2008, Iran appears to be obtaining the sophisticated electronics using intermediaries. To investigate the issue, the White House last month launched an'all hands on deck' task force involving agencies from across Washington - including the departments of Defense, State, Justice, Commerce and Treasury. Part of a downed Iranian-made Shahed-136 drone launched by Russia is seen near Kupiansk, Ukraine.

Remote patient monitoring is now a key application in medical spaces where cameras and AI are revolutionizing the delivery of care. This article will thus discuss how the two technologies work together to make life easier for patients and caregivers. The adoption of artificial intelligence is on the rise across all sectors. Though current AI cannot compete with the cognitive ability of the human brain, it has already started to dominate when it comes to performing mundane as well as intelligent tasks – and the medical field is not an exception to this. It has been captivating to see new and emerging applications and use cases where AI works in harmony with other technologies to enhance human experiences.

Oakland, California – When Silicon Valley chipmaker Marvell learned that one of its chips was found in a Russian surveillance drone recovered in 2016, it set out to investigate how that came to be. The chip, which costs less than $2, was shipped in 2009 to a distributor in Asia, which sold it to another broker in Asia, which later went out of business. "We couldn't trace it any further," Marvell Technology Group Chief Operations Officer Chris Koopmans said in a recent interview. Years later, it reappeared in the drone recovered in Lithuania. Marvell's experience is one of myriad examples of how chipmakers lack ability to track where many of their lower-end products end up, executives and experts said.

Companies in the Semiconductor – General industry are at the forefront of the ongoing technological revolution based on HPC, AI, automated driving, IoT and so on. These semiconductors also enable the cloud to function and help analyze the data into actionable insights that can be used by companies to operate more efficiently. If anything, the pandemic has strengthened the conviction that these technological changes are required and inevitable, because it is these technology platforms that enabled us to function when it was unsafe for us to go to work or meet people. Even with the opening up of the economy, the race to digitization, cloud, AI, etc. is expected to continue at an accelerated rate, driving strong demand for semiconductors. NVIDIA has pioneered and built a whole lot of this cutting-edge technology, so it remains a top recommendation.

Deep learning, the artificial-intelligence technology that powers voice assistants, autonomous cars, and Go champions, relies on complicated "neural network" software arranged in layers. A deep-learning system can live on a single computer, but the biggest ones are spread over thousands of machines wired together into "clusters," which sometimes live at large data centers, like those operated by Google. In a big cluster, as many as forty-eight pizza-box-size servers slide into a rack as tall as a person; these racks stand in rows, filling buildings the size of warehouses. The neural networks in such systems can tackle daunting problems, but they also face clear challenges. A network spread across a cluster is like a brain that's been scattered around a room and wired together.

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To NXP Semiconductors (NASDAQ:NXPI), a leading provider of embedded chips (electronics found in things like automobiles and factories), Industry 4.0 centers around four technologies: fast networking, fast processing (with artificial intelligence), human-machine interfaces, and cybersecurity. The confluence of these four technologies has the potential to more fully automate factories, automobiles, and wearable devices. According to IHS, there will be over 70 billion internet-connected devices by 2025. But while the NXP conversation largely centers around its impending acquisition by Qualcomm (NASDAQ:QCOM) (which may or may not happen), investors may be missing out on some exciting recent news on NXP products geared toward Industry 4.0. On artificial intelligence, NXP is perceived to lag competitors such as NVIDIA, the leading producer of AI-focused graphics processing units (GPU).

Chipmakers have been a red-hot sector for what now seems like forever. In the last five years, the Philadelphia Semiconductor Index has advanced nearly 200%, versus the S&P 500's total return of 90%. Perhaps the most notable chipmaker during this period is GPU-maker NVIDIA, as its stock increased 1,800%. This article originally appeared in The Motley Fool. Against that backdrop, you can forgive investors for overlooking other companies in the sector, which is exactly what has happened to Texas Instruments (NASDAQ:TXN).

Even if you're not a gadget geek, you likely know whether your laptop is powered by an Intel chip or one from a competitor like AMD. The sticker plastered next to your keyboard won't let you forget. But even if you know your Ryzens from your Ice Lakes, you probably don't put much thought into who makes the memory chips that store your data and keep your laptop and smartphone working. There's a decent chance at least one of your gadgets includes memory made by a company called Micron Technology. Boise, Idaho-based Micron is one of only three outfits that still make DRAM, the chips that provide short-term memory in personal computers, smartphones, tablets, and other devices.