Production professionals in radio, television, and streaming should be able to ensure that dialogues are always clearly ...
A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...
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 ...
Quantum physics has been around since the 1920s, while applying the unique characteristics of it in a computer had to wait until the early 2000s. Recent standards from NIST and other government ...
The video above features the latest coverage from AES. DAYTON, Ohio (WDTN) – The Ohio Consumers’ Council is objecting to what it considers a “through-the-looking-glass account” by the Public Utilities ...
AES-NI is a CPU instruction set that accelerates AES encryption/decryption using hardware-based processing. Provides 3x–10x performance improvement over software-only AES implementations. Enhances ...
Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...
Convolutional neural networks (CNNs) are vulnerable to adversarial attacks in computer vision tasks. Current adversarial detections are ineffective against white-box attacks and inefficient when deep ...
Intelligibility is one of the biggest challenges for professional sound engineers. Algorithms developed by Fraunhofer IDMT in ...
There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...
Abstract: Adversarial attacks craft adversarial examples (AEs) to fool convolution neural networks. The mainstream gradient-based attacks, based on first-order optimization methods, encounter ...
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