Knowing when to try something new versus stick with what you’re doing is tricky. Decision scientists have advice.

A disastrous AI incident is no longer a matter of if, but when. AI governance needs to be prepared for that day—and for the “policy window” that will open when it happens.

His investment in Objection.ai points to a new model: private investigations, AI verdicts, and accountability mechanisms that ...

Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...

When a brand posts organically, the platform rewards content that captures attention with more distribution and penalises content that doesn't gain traction, Krzastek observes. Validated creative then ...

Amazon can steer market-wide prices without ever colluding—exposing a gap in antitrust law that the FTC is now fighting to ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a simulator that fully leverages the unique advantages of FPGA (Field-Programmable Gate ...

Qoro Quantum's unified software stack optimizes quantum algorithms, addressing integration challenges and accelerating the ...

Traditionally, enterprises have embedded cryptographic choices deep within applications and hardware appliances. When vulnerabilities arrive, whether due to newly discovered flaws in an algorithm or ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Why AI Governance needs a new take? This recent interesting article pointed out that the chat interface is becoming obsolete and working against productivity (already?!) and that we now need a new ...