An examination of the rapid integration of AI in the US insurance industry, the legal and ethical challenges arising from AI ...
Human-in-the-loop oversight is widely invoked as a safeguard against potential harm from artificial intelligence (AI) used in ...
Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...
The transition from static to adaptive neurotechnology is primarily driven by the clinical shortcomings of traditional open-loop stimulation, which often results in neural habituation and adverse side ...
The CamAPS FX app. [Image from CamDiab] CamDiab announced that it received European approval for its fully closed-loop automated insulin delivery algorithm. The algorithm allows users to manage their ...
Cirrus Logic Inc. CRUS has taken a major step into the automotive realm with the launch of its CS40L51, CS40L52 and CS40L53 closed-loop haptic driver family. The latest innovations are the company’s ...
Automotive-qualified solutions for more intuitive, immersive in-vehicle experiences AUSTIN, Texas--(BUSINESS WIRE)-- Cirrus Logic (NASDAQ: CRUS), a leading provider of high-performance audio and mixed ...
While insulin pumps and continuous glucose monitors have improved the lives of many Type 1 diabetes patients, some still cannot maintain steady control. Implantable insulin pumps offer another option ...
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
The results of implicit address-translation reads in step 2 may be held in a read-only, incoherent address-translation cache but not shared with other harts. [ ... ] Entries in the address-translation ...
Abstract: Power Hardware-in-the-Loop (PHIL) has gained popularity in academic and industrial applications due to its flexibility in testing hardware. PHIL connects a physical hardware under test (HuT) ...
ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
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