Akida Pico uses event-based processing, which mimics the human brain. It only “fires” when it detects a relevant change in data (an “event”). If nothing is happening, it consumes almost zero power.

Attackers recently leveraged LLMs to exploit a React2Shell vulnerability and opened the door to low-skill operators and calling traditional indicators into question.

Physical AI is not merely a product feature. It is an architectural shift. When intelligence lives next to the phenomenon it observes, we gain what the cloud alone cannot consistently provide: low ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

Introduction: The Evolution of Browser Security For two decades, the web browser served as the primary security frontier for digital interactions. The logic was clear: the browser represented the lens ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

CAPE CANAVERAL—The upper stage of a SpaceX Falcon 9 rocket failed to execute a planned engine burn to deorbit after successfully deploying a batch of Starlink satellites launched from California, the ...

Physical AI is not merely a product feature. It is an architectural shift. The question before us is simple: Will the world of Physical AI be built by a few thousand engineers, or by millions of ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...