NTX Embedded has unveiled the Octolux HMI platform, designed to bring both rugged reliability and aesthetic appeal to next-generation embedded devices. The platform represents a significant shift in how industrial interfaces are designed and deployed. This comes as the embedded industry prepares for
Samsung is reportedly preparing major upgrades for the Galaxy Z Fold 8, including crease-eliminating laser technology and S Pen integration. These innovations appear strategically timed to counter Apple’s anticipated 2026 foldable iPhone entry. The battle for foldable supremacy is heating up.
Researchers have successfully built functional memristors using shiitake mushroom mycelium, achieving performance comparable to early silicon chips. This breakthrough in fungal computing could lead to biodegradable, low-power alternatives to conventional electronics.
Researchers have developed a breakthrough pressure sensor using CMUT technology that maintains exceptional reliability under extreme hydrostatic pressure. The MEMS-based design offers significant advantages for deep-sea applications where size, weight, and power constraints are critical.
Qualcomm enters the AI accelerator market with new inference-focused hardware and software solutions. The company aims to challenge Nvidia’s dominance with competitive total cost of ownership and seamless model deployment. This strategic move could reshape the AI infrastructure landscape.
Qualcomm is making a major push into data center AI with new chips and rack-scale systems. The company announced a yearly release cadence but omitted critical performance details, raising questions about its competitive positioning.
Samsung’s rumored tri-folding smartphone could debut at $2,800, marking a $1,000 premium over existing foldables. This ultra-premium strategy comes as the company faces plateauing foldable sales and intensifying competition.
AMD has officially announced the retail availability of its Radeon AI Pro R9700 graphics card for AI developers. The standalone GPU will launch October 27 with a starting price of $1,299, featuring 32GB of VRAM and specialized AI accelerators.
AMD has confirmed that its highly anticipated Radeon AI Pro R9700 graphics card will reach retail markets on October 27, with pricing starting at $1,299, according to reports from company executives. The announcement came via social media from David McAfee, AMD’s vice president and general manager of Ryzen CPU and Radeon graphics, who stated that the GPU represents a significant offering for AI developers seeking local development capabilities.
Apple’s product development cycle faces renewed scrutiny as reports surface about iPhone Air performance and upcoming hardware enhancements. Industry watchers are analyzing patterns in Apple’s release strategy while consumers seek cost-effective storage solutions for Mac systems. The technology giant’s approach to product refreshes continues to generate discussion among analysts and enthusiasts alike.
Technology analysts are closely monitoring Apple’s product development pipeline, with particular focus on anticipated M5 chip updates for both Apple Vision Pro and iPad Pro lines. According to industry reports, these enhancements represent Apple’s continued commitment to advancing its proprietary silicon technology across multiple product categories.
AMD has confirmed shipping dates for its highly anticipated Radeon AI PRO R9700 graphics card targeting AI developers and researchers. The workstation GPU features 32GB GDDR6 memory and promises data-center-level performance for local AI model training. Pricing is set at $1299 with broader availability expected through 2025.
AMD has officially revealed the availability timeline for its Radeon AI PRO R9700 graphics card, according to reports from the company’s announcement. The workstation-focused GPU, which sources indicate was initially unveiled in May, will begin shipping on October 27 after experiencing delays from its originally planned July release window. Industry analysts suggest this launch represents AMD’s significant push into the professional AI hardware market currently dominated by competitors.
