I Helped Build Google’s Keyword System. Here’s Why It’s Becoming Obsolete

The decline of keyword targeting signals a major shift in PPC, with AI prioritizing intent, automation, and data signals over ...
JD Supra

Agentic Commerce, Price Control, and the New Antitrust Questions

Agentic commerce arrives in a field that has spent the better part of 40 years catching up to digital markets, and is now ...
Decrypt

Stacks Publishes Bitcoin Staking Whitepaper for Self-Custodial Bitcoin Yield, Backed by $500M Already Paid Out

Proposed protocol upgrade extends Stacks' live Proof-of-Transfer mechanism to let BTC holders earn native Bitcoin yield ...

Your Degree Alone Won’t Get You Hired Anymore — Here’s What Will

A degree gets you in the door, but data-driven career prep keeps you in the room. Don't just graduate; optimize your ...

The ‘Post and Pray’ Era is Dead: The 3-Step AI Workflow for Lean Brands to Dominate TikTok in 2026

Why Your Lean Team is Losing to the Algorithm If you are operating as a lean team—or striving to be an “all-around super individual” handling strategy while executing at scale—the TikTok content ...

MicroCloud Hologram Inc. Efficient Deterministic Quantum State Preparation Algorithm Based on Decision Diagrams

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announces the launch of its latest core technology — the Efficient Deterministic Quantum State ...
IEEE

Research on the Application of Deep Learning Algorithm in the Damage Detection of Steel Structures

Abstract: This study introduces a novel Convolutional Long Short-Term Memory (ConvLSTM) network for steel structure damage detection, aimed at enhancing the accuracy and reliability of structural ...
Nature

Data Structures and Algorithms

Data structures and algorithms constitute the foundational toolkit of computer science, enabling efficient storage, retrieval and manipulation of data. Data structures—ranging from arrays, linked ...
IEEE

A Data-Driven Evolutionary Algorithm for Dynamic Vehicle Routing Problems With Time Windows Under Limited Computational Time

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
VentureBeat

The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

Enterprise data stacks were built for humans running scheduled queries. As AI agents increasingly act autonomously on behalf of businesses around the clock, that architecture is breaking down — and ...