Artikel oleh Swante Adi Krisna, S.H., M.H., M.H.
Human responses to low-probability high-consequence events, known as Dread Risk behavior, have deep evolutionary roots that AI systems must understand. This research explores how seemingly irrational ...
Despite advances across symbolic, connectionist, evolutionary, Bayesian, and analogical machine learning paradigms, fundamental barriers prevent achieving artificial general intelligence. The absence ...
Nvidia expands AI ecosystem through strategic Groq collaboration, addressing critical inference bottlenecks. Latency challenges hinder conversational AI evolution, prompting hardware innovation beyond...
The 1956 Dartmouth Workshop marked AI's birth with wildly optimistic predictions. Scientists believed thinking machines would emerge within one generation. They were fundamentally wrong. Only decades ...
Machine learning divides into five distinct intellectual traditions: symbolic, connectionist, evolutionary, Bayesian, and analogical. Each tribe represents unique problem-solving methodologies rooted ...
Weak AI systems demonstrate specific intelligence designed for particular tasks, transforming residential environments through learning algorithms. Smart thermostats and voice recognition exemplify ho...
Deterministic artificial intelligence architectures continue dominating applications requiring predictable, explainable outcomes. Rule-based and set theory systems, foundational to expert system devel...
Artificial intelligence tools amplify foreign influence campaigns and reshape social media landscapes, creating sophisticated perception manipulation systems. This investigation explores how automated...
Expert systems transformed from marketed products to invisible embedded intelligence during the 1990s, establishing patterns for contemporary AI deployment. This evolution demonstrates how successful ...
Authentic creativity demands self-awareness and intrapersonal intelligence that current AI architectures fundamentally lack. While machines excel at sophisticated pattern recombination, they cannot ge...
Linguistic intelligence in AI encompasses oral and written processing but demonstrates severe comprehension deficits. Mathematical intelligence represents AI's strongest domain with mastery of calcula...
The technological singularity represents the ultimate aspiration in artificial intelligence research. Scientists work toward creating a master algorithm that learns anything across all cognitive domai...
Commercial vendors attempted to democratize artificial intelligence through simplified expert system products for beginner programmers. These efforts created fundamental tensions between accessibility...
AMD revolutionizes chip design through chiplet architecture as artificial intelligence demands reshape computational requirements. Traditional monolithic approaches fail under AI workload pressure, pr...
The Wright Brothers' aerodynamic approach revolutionizes artificial intelligence development by emphasizing process understanding over behavioral imitation, establishing functional achievement as the ...
The evolution from conversational AI to physically-capable systems marks a paradigm shift in machine intelligence evaluation. Modern Total Turing Test demands perceptual capabilities and robotic inter...
Media portrayals create significant chasms between public expectations and actual AI capabilities. Current systems excel at mundane tasks so effectively that users remain unaware of their presence. Th...
Entertainment media constructs AI narratives that diverge sharply from current technological capabilities, embedding singularity concepts into popular consciousness. This analysis examines how fiction...
Artificial intelligence achieves its greatest impact through invisible integration into daily life. This examination explores how AI's ordinariness paradoxically demonstrates technological maturity, f...
Enterprise AI deployment demands massive computational infrastructure beyond consumer capabilities. Knowledge base management introduces critical trade-offs between complexity, speed, and detail while...