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https://techxplore.com/news/2024-04-code-microscopy-images-scientific-articles.html Deep learning is a form of artificial intelligence transforming society by teaching computers to process information using artificial neural networks that mimic the human brain. It is now used in facial recognition, self-driving cars and even in the playing of complex games like Go. In general, the success of deep learning has depended on using large datasets of labeled images for training purposes. A potential gold mine of labeled images resides within scientific literature, with over a million articles published each year. Most have many figures woven into the text. To date, these figures have not been amenable to deep learning models. This is, in part, due to their complex layouts. Each figure typically contains multiple embedded images, graphs and illustrations. Also lacking has been an adequate means to search the literature for images matching specific content. Addressing this challenge, researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory and Northwestern University have created the EXSCLAIM! software tool. The name stands for extraction, separation and caption-based natural language annotation of images. The findings are published in the journal Patterns. "Images generated by electron microscopes down to the billionths of a meter are one of the most important kinds of figures in materials science literature," said Maria Chan, scientist in Argonne's Center for Nanoscale Materials, a DOE Office of Science user facility. "These images are essential to the understanding and development of new materials in many different fields. Our goal with EXSCLAIM! is to unlock the untapped potential of these imaging data." What sets EXSCLAIM! apart is its unique focus on a query-to-dataset approach, similar to how a prompt is used with generative AI tools such as ChatGPT and DALL-E. It is thus capable of extracting individual images with very specific content from figures, as it both classifies the image content and recognizes the degree of magnification. It can then create descriptive labels for each image. This innovative software tool is expected to become a valuable asset for scientists researching new materials at the nanoscale. "While existing methods often struggle with the compound layout problem, EXSCLAIM! employs a new approach to overcome this," said lead author Eric Schwenker, a former Argonne graduate student. "Our software is effective at identifying sharp image boundaries, and it excels in capturing irregular image arrangements." EXSCLAIM! has already demonstrated its effectiveness by constructing a self-labeled electron microscopy dataset of over 280,000 nanostructure images. While initially developed around materials microscopy images, EXSCLAIM! is adaptable to any scientific field that produces high volumes of papers with images. The software thus promises to revolutionize the use of published scientific images across various disciplines. "Researchers now have a powerful image-mining tool to advance their understanding of complex visual information," Chan said.

https://www.tomshardware.com/tech-industry/dram-pricing-and-supply-seems-largely-unaffected-by-taiwan-earthquake-firm-claims Last week, Taiwan experienced a severe Earthquake — and subsequent reports of memory makers refusing to publish contract DRAM prices two days ago raised concern over DRAM price hikes. These price hikes may still be happening, but, courtesy of a report from TrendForce, we now know that the quake's impact on DRAM was corrected for within the week— and the overall impact on Q2 DRAM production seems as low as 1%. In total, five DRAM fabrication plants belonging to four suppliers impacted in the quake were evaluated by TrendForce. These included two of Micron's fab plants, and one each from Nanya, Winbond, and PSMC. Below, we have the original TrendForce graphic with this data explained in slightly more detail. Overall, things seem optimistic for this segment of the industry — at least, in terms of long-term production capacity. TrendForce's post-Earthquake DRAM Impact data. In the face of confirmed upcoming price hikes to HDDs and NAND flash (at least from Western Digital), news that DRAM manufacturers have largely recovered from the quake without severe issue certainly seems to be a cause for optimism. With the estimation of a 1% impact on overall DRAM production made by TrendForce, then, is there anything to worry about? Well, contract prices still have yet to be restarted by most manufacturers, except SK hynix and their mobile DRAM. The proposed price adjustments there seem "moderate," so TrendForce anticipates a Q2 mobile DRAM price increase of between 3% and 8%. Price-hiking potential seems to be the highest in DDR3 RAM (age and thus scarcity), and in high-end server RAM. At the time, we don't have any numeric estimations of the impact to expect there, though most of Micron's damages were reportedly to their high-end facilities for that server RAM. Micron's HBM manufacturing is performed in Japan, which was fortunately not impacted by this quake — but their DRAM has a much larger market anyway. Standard, consumer-targeted DDR4 and DDR5 may actually experience the lowest price hikes, because they the lowest demand. Most people who need DDR4 or DDR5 at this point simply already have it, and the impact on production and inventory was such that TrendForce expects "slight price elevations caused by the earthquake" will "normalize swiftly."

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https://discord.gg/ZgArbH4u5Y este es el link La contraseña está mal . Una vez te vi bloqueandome pero pienso que mereces una oportunidad . Te daré pro , intenta mejorar un poco la actividad y sigue las reglas.

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Video title: Shitposting Compilation V110 Content creator ( Youtuber ) : AlexNoreal Official YT video:

Nick movie: Damsel Time: 2024 Netflix / Amazon / HBO: Netflix Duration of the movie: 1h 47m Trailer:

https://www.gadgets360.com/wearables/news/samsung-watch-fe-launch-soon-galaxy-report-5387821 Samsung Galaxy Watch FE will be launched soon, according to a report. The South Korean tech conglomerate could soon introduce a 'Fan Edition' (FE) version of its Galaxy Watch smartwatch, which runs on Google's Wear OS operating system. It is expected to arrive at a lower price than the company's recent smartwatch models, and its specifications are said to be similar to an older Galaxy Watch model. The Galaxy Watch FE is likely to debut before July, when Samsung is tipped to launch the Galaxy Watch 7 series. Android Headlines spotted three model numbers for the purported Galaxy Watch FE in what appears to be an IMEI database. The model number SM-R866F reportedly pertains to the global model, while the model numbers SM-R866U and SM-R866N refer to the US and South Korean markets, respectively. According to the publication, the Galaxy Watch FE will be introduced at a "budget-friendly price". The Samsung Galaxy Watch 4 that was launched in August 2021 bears the model number SM-R860F, which is quite similar to the purported Galaxy Watch FE model. This suggests that it could arrive as an affordable smartwatch that runs on Wear OS, and is powered by the Exynos W920 chip. Details of the purported Galaxy Watch FE are yet to surface online, including its hardware specifications and pricing. The smartwatch could debut as Samsung's most affordable wearable running Wear OS and sporting the design of the Galaxy Watch 4. Apple's Watch SE models follow a similar strategy, offering fewer features at a more affordable price. There's no word from Samsung on plans to launch a new Galaxy Watch FE model, but the company can be expected to launch the device — if it exists — in the coming weeks. As per previous reports, the South Korean firm is planning to launch three Galaxy Watch 7 models, it's next generation smartwatches, alongside its next-generation foldable phones at its next Galaxy Unpacked event rumoured to take place in July.

https://techxplore.com/news/2024-04-nasa-noise-tool-users-air.html Several air taxi companies are using a NASA-developed computer software tool to predict aircraft noise and aerodynamic performance. This tool allows manufacturers working in fields related to NASA's Advanced Air Mobility mission to see early in the aircraft development process how design elements like propellors or wings would perform. This saves the industry time and money when making potential design modifications. This NASA computer code, called OVERFLOW, performs calculations to predict fluid flows such as air, and the pressures, forces, moments, and power requirements that come from the aircraft. Since these fluid flows contribute to aircraft noise, improved predictions can help engineers design quieter models. Manufacturers can integrate the code with their own aircraft modeling programs to run different scenarios, quantifying performance and efficiency, and visually interpreting how the airflow behaves on and around the vehicle. These interpretations can come forward in a variety of colors representing these behaviors.

https://www.tomshardware.com/pc-components/cpus/vendor-crams-128-cpu-cores-and-28416-gpu-cores-into-aio-workstation We think all-in-one computers are underperforming brethren of fully-fledged 'classic' desktop workstations. But Alafia AI, a startup specializing in modern media imaging appliances, will prove us wrong. The company's all-in-one Alafia Aivas SuperWorkstation for medical imaging packs a 128-core Ampere Altra processor and two Nvidia RTX professional graphics cards (via Joe Speed). The machine is indeed quite powerful. Equipped with a 4K touch-sensitive display with up to 360 nits brightness, the workstation packs Ampere's Altra 128-core processor running at 3.0 GHz, two Nvidia RTX graphics cards with up to 28,416 cores (though the configuration shows Nvidia's RTX 4000 and RTX A3000 graphics cards), 2TB of DDR4 memory, and an up to 8TB solid-state drive. "Alafia Ai is making 128 core medical imaging AI developer workstations with 4K rotating display, Ampere Altra Dev Kit 128c 7 built-in," wrote Joe Speed, the head of Ampere's edge computing division. "When asked 'Why Ampere,' Alafia said medical imaging tools are CPU intensive, and clinicians will run many apps at the same time." Alafia AI calls its system a purpose-built clinical research appliance, to a large degree, because not many applications support both Arm-based Ampere Altra processors and Nvidia's inference capabilities. The company aims to ship the hardware in Q2 2024, expects massively parallel compute application integration in the third quarter, and then projects ecosystem device integration in Q4 2024. For now, the machine is mainly aimed at software developers. Still, institutions that can tailor their applications for the Arm CPU architecture can buy and deploy them if they find performance and capabilities suitable for their needs. Alafia AI has a Github site that links to programs on its platforms. Meanwhile, the company clearly states that those who deploy the workstations in the field are responsible for the results that they produce. "You are responsible for instituting human review as part of any use of Alafia Ai, Inc. products or services, including in association with any third-party product intended to inform clinical decision-making," a statement on the Alafia AI website reads. "The Alafia Ai, Inc. workstation, servers and/or products and services should only be used in patient care or clinical scenarios after review by trained medical professionals applying sound medical judgment."

https://www.gadgets360.com/mobiles/news/samsung-m55-m15-5g-india-launch-date-colour-options-features-galaxy-5359850 Samsung Galaxy M55 5G is confirmed to launch in India soon alongside the Galaxy M15 5G. The phones have been teased to launch in the country previously and their Amazon availability was also confirmed. Now the India launch date of the smartphones has been announced. Alongside, Samsung has also revealed the colour options and a few key features of the handset including chipset, camera, display, battery and charging details. Notably, the phones were recently unveiled in select global markets. The Amazon microsites for both the Galaxy M55 5G and the Galaxy M15 5G confirm that the phones will launch in India on April 8 at 12pm IST. The pages also reveal several key features of the handsets. The Galaxy M55 5G will be offered in the country in Denim Black and Light Green shades, while the Galaxy M15 5G is confirmed to come in three colour options - Blue Topaz, Celestine Blue, and Stone Grey. The Indian variant of the Galaxy M55 5G is set to come with Qualcomm's Snapdragon 7 Gen 1 SoC, a 6.7-inch full-HD+ Super AMOLED Plus display with a 120Hz refresh rate, and 1,000 nits of peak brightness level. It will be equipped with Vision Booster technology that is claimed to help users see the screen clearly even under bright sunlight. The phone will be backed by a 5,000mAh battery with support for 45W wired fast charging. For optics, the Galaxy M55 5G will carry a triple rear camera unit including a 50-megapixel primary sensor with optical image stabilisation (OIS). The phone is confirmed to sport a 50-megapixel front camera sensor for selfies and video calls. It will have a Nightography feature and AI-backed tools like Image Clipper and Object Eraser. The Galaxy M15 5G, on the other hand, will have a MediaTek Dimensity 6100+ chipset and feature a 6.5-inch Super AMOLED display. It will also sport a 50-megapixel triple rear camera unit. The handset will be backed by a 6,000mAh battery that is claimed to offer a battery life of up to two days. Both Galaxy M55 5G and Galaxy M15 5G models are also confirmed to be equipped with Samsung's Knox Security, while the former will also come with the Samsung Wallet feature. An earlier leak suggested that the Galaxy M55 5G will start in India at Rs. 26,999 for the 8GB + 128GB option, while the 8GB + 256GB and 12GB + 256GB variants could be priced at Rs. 29,999 and Rs. 32,999, respectively. Meanwhile, the Galaxy M15 5G has been tipped to cost Rs.13,499 for the 4GB + 128GB option and Rs. 14,999 for the 6GB + 128GB variant.

https://techxplore.com/news/2024-03-method-optimizes-autonomous-ship.html The study of ship maneuvering at sea has long been the central focus of the shipping industry. With the rapid advancements in remote control, communication technologies, and artificial intelligence, the concept of Maritime Autonomous Surface Ships (MASS) has emerged as a promising solution for autonomous marine navigation. This shift highlights the growing need for optimal control models for autonomous ship maneuvering. Designing a control system for time-efficient ship maneuvering is one of the most difficult challenges in autonomous ship control. While many studies have investigated this problem and proposed various control methods, including Model Predictive Control (MPC), most have focused on control in calm waters, which do not represent real operating conditions. At sea, ships are continuously affected by different external loads, with loads from sea waves being the most significant factor affecting maneuvering performance. To address this gap, a team of researchers, led by Assistant Professor Daejeong Kim from the Division of Navigation Convergence Studies at the Korea Maritime & Ocean University in South Korea, designed a novel time-optimal control method for MASS. "Our control model accounts for various forces that act on the ship, enabling MASS to navigate better and track targets in dynamic sea conditions," says Dr. Kim. Their study was published in Ocean Engineering. At the heart of this innovative control system is a comprehensive mathematical ship model that accounts for various forces in the sea, including wave loads, acting on key parts of a ship such as the hull, propellers, and rudders. However, this model cannot be directly used to optimize the maneuvering time. For this, the researchers developed a novel time optimization model that transforms the mathematical model from a temporal formulation to a spatial one. This successfully optimizes the maneuvering time. These two models were integrated into a nonlinear MPC controller to achieve time-optimal control. They tested this controller by simulating a real ship model navigating in the sea with different wave loads. Additionally, for effective course planning and tracking, researchers proposed three control strategies: Strategy A excluded wave loads during both the planning and tracking stages, serving as a reference; Strategy B included wave loads only in the planning stage, and Strategy C included wave loads in both stages, measuring their influence on both propulsion and steering. Experiments revealed that wave loads increased the expected maneuvering time on both strategies B and C. Comparing the two strategies, the researchers found strategy B to be simpler with lower performance than strategy C, with the latter being more reliable. However, strategy C places an additional burden on the controller by including wave load prediction in the planning stage. "Our method enhances the efficiency and safety of autonomous vessel operations and potentially reduces shipping costs and carbon emissions, benefiting various sectors of the economy," remarks Dr. Kim, highlighting the potential of this study. "Overall, our study addresses a critical gap in autonomous ship maneuvering which could contribute to the development of a more technologically advanced maritime industry."

https://www.tomshardware.com/pc-components/gpus/gigabyte-shows-off-white-aorus-xtreme-ice-rtx-4080-super-limited-run-with-very-tight-availability-expected According to a Gigabyte Vietnam Facebook posting, the Gigabyte Xtreme Ice Aorus Xtreme RTX 4080 Super photos with "Bionic shark fans" spotted yesterday are in fact legitimate, and point to an imminent-but-unspecified limited-run release. The white take on the previously black-and-gold Aorus Xtreme design looks pretty grandiose in its own right, and the GPU is one of the best graphics cards. Similar to Gigabyte's other Aorus Ice GPUs, the Xtreme Ice is a white, air-cooled GPU. However, this is actually a break away from the Aorus Xtreme tradition of WaterForce GPU coolers. That could be why these will apparently be limited to only 300 GPUs, according to VideoCardz — sold in bundles that include everything you'd need, except for a case, CPU, and SSD. We reached out to Gigabyte for comment, who told us: "The XTREME ICE is a limited-edition series that will be launching in the near future. Availability is expected to be very tight. The MB and GPUs will include an exclusive gold serial plaque." Compared to the stock RTX 4080 Super, the Gigabyte Aorus Xtreme Ice differences include a 150 MHz overclock to 2.7 GHz, RGB lighting, and a built-in screen. The massive triple-fan, triple-slot cooler design will appeal to users who have plenty of room in their cases, and who value cooler temperatures. Gigabyte boasts in its announcement slides that its 2.7 GHz clock is an unprecedented factory OC of the 4080 Super. Additionally, they estimate 885 AI TOPs performance compared to the 836 AI TOPs of the stock 4080 Super, which is a nice bonus for those who wish to leverage AI workloads. The cards will feature dual BIOS functionality and come with a 4-year warranty period. The Gigabyte Aorus Xtreme Ice RTX 4080 Super will be available in a limited-run bundle, with an unknown launch date. The GPUs will come bundled with other white Aorus PC components, specifically a 1000W power supply, an Intel Z790 motherboard, and a 360mm liquid cooler. Curiously, Gigabyte isn't including one of its Aorus Gen5 SSDs. The total bundle will likely cost quite a bit, considering its components. The GPU on its own starts at $999, and overclocked variants can go for $1,300 or more. We'll have to wait and see, but $2,000 (give or take) for the entire bundle wouldn't be shocking. Rumors suggest the bundle could go on sale within the next few weeks.

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