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.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Public cloud spending is on a steep curve, rising from $595.7 billion in 2024 to $723.4 billion in 2025, and the fastest growing line items are often the ones n ...

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

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the ...

Learn why identity must be built into SaaS architecture from day one to ensure secure authentication, compliance, and scalable growth.

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 ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Discover the best AI content detectors in 2026. Compare Winston AI, GPTZero, Originality.AI, and more for accuracy, trust, ...

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 ...