Consider a smart home display that uses Wi-Fi, Bluetooth mesh and local voice recognition. The embedded processor manages the wireless protocols, runs the voice model and powers the user interface.

Short term turbulence masks long term opportunity. How our framework guides stock selection and supports patient, compound returns.

Texas A&M donor Jon Hagler says the school’s regents are failing it, threatening academic freedom and kowtowing to ...

Despite years of progress, trust remains one of the biggest barriers to AI adoption in healthcare. Patient privacy is their top concern when it comes to using AI.

Institutions that integrate accessibility into their digital infrastructure are better positioned to meet legal requirements, enhance student experien ...

Faraz Ahmad, MD, and Marie-Noelle Langan, MD, discuss the role of artificial intelligence (AI) for cardiac care within healthcare systems.

Investors must take care to separate businesses that are genuinely under threat from those caught in a broad narrative ...

Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...

Today’s PCs are locked up with Trusted Platform Module (TPM) devices so much so that modern Windows versions insist on having ...

Abstract: Deep Reinforcement Learning (DRL)-based Dynamic Voltage Frequency Scaling (DVFS) has shown great promise for energy conservation in embedded systems. While many works were devoted to ...

Abstract: Itaddresses the challenges that are associated with dynamic power management in embedded systems by utilizing techniques that are derived from the discipline of reinforcement learning (RL).

Artificial intelligence (AI) is revolutionizing embedded systems, transforming how technology integrates into daily life. No longer limited to basic tasks, AI is now leveraged in smart cars, ...