Scientists across all fields make various types of claims about their innovations. Validity tests check whether they deliver ...
Classic cybersecurity tools are nearly powerless against semantic attacks. Signature detection, hashing, and code audits all depend on identifying explicit changes in code or data, but meaning-level ...
Technological innovations can seem relentless. In computing, some have proclaimed that "a year in machine learning is a ...
Optimal cue integration, Bayesian Causal Inference, spatial orienting, speech illusions and other key phenomena in audiovisual perception naturally emerge from the collective behavior of a population ...
The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.
Much of mainstream economics holds to the Efficient Market Hypothesis (EMH), which is built on highly unrealistic foundations ...
AI pioneer Yann LeCun's departure from Meta fuels debate on whether his LLM criticism led to marginalization. Critics allege ...
A neural computation first discovered in insects has been shown to explain how humans combine sight and sound – even when ...
Chronosphere challenges Datadog with a new AI observability tool that explains root causes, helping engineers troubleshoot ...
An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...
The gap between being able to measure incrementality and being able to use it is larger than you think, says Colin Lewis.