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Category: robotics/AI

Cybercriminals Abuse Google Cloud Email Feature in Multi-Stage Phishing Campaign

In response to the findings, Google has blocked the phishing efforts that abuse the email notification feature within Google Cloud Application Integration, adding that it’s taking more steps to prevent further misuse.

Check Point’s analysis has revealed that the campaign has primarily targeted manufacturing, technology, financial, professional services, and retail sectors, although other industry verticals, including media, education, healthcare, energy, government, travel, and transportation, have been singled out.

“These sectors commonly rely on automated notifications, shared documents, and permission-based workflows, making Google-branded alerts especially convincing,” it added. “This campaign highlights how attackers can misuse legitimate cloud automation and workflow features to distribute phishing at scale without traditional spoofing.”

Artificial Intelligence–Based Automated Echocardiographic Analysis and the Workflow of Sonographers: A Randomized Crossover Trial (AI‐Echo RCT)

RCT results: An automated AI analysis led to reduced exam time, increased scan volume and image quality, and lower fatigue. @KagiyamaNobu

The Next Great Transformation: How AI Will Reshape Industries—and Itself

#artificialintelligence #ai #technology #futuretech

This change will revolutionize leadership, governance, and workforce development. Successful firms will invest in technology and human capital by reskilling personnel, redefining roles, and fostering a culture of human-machine collaboration.

The Imperative of Strategy Artificial intelligence is not preordained; it is a tool shaped by human choices. How we execute, regulate, and protect AI will determine its impact on industries, economies, and society. I emphasized in Inside Cyber that technology convergence—particularly the amalgamation of AI with 5G, IoT, distributed architectures, and ultimately quantum computing—will augment both potential and hazards.

The issue at hand is not if AI will transform industries—it has already done so. The essential question is whether we can guide this change to enhance security, resilience, and human well-being. Individuals who interact with AI strategically, ethically, and with a long-term perspective will gain a competitive advantage and foster the advancement of a more innovative and secure future.

Artificial neurons mimic complex brain abilities for next-generation

Researchers have created atomically thin artificial neurons capable of processing both light and electric signals for computing. The material enables the simultaneous existence of separate feedforward and feedback paths within a neural network, boosting the ability to solve complex problems.

For decades, scientists have been investigating how to recreate the versatile computational capabilities of biological neurons to develop faster and more energy-efficient machine learning systems. One promising approach involves the use of memristors: electronic components capable of storing a value by modifying their conductance and then utilising that value for in-memory processing.

However, a key challenge to replicating the complex processes of biological neurons and brains using memristors has been the difficulty in integrating both feedforward and feedback neuronal signals. These mechanisms underpin our cognitive ability to learn complex tasks, using rewards and errors.

Epistemological Fault Lines Between Human and Artificial Intelligence

Walter (Dated: December 22, 2025)

See… https://osf.io/preprints/psyarxiv/c5gh8_v1

Abstract: Large language models (LLMs) are widely described as artificial intelligence, yet their epistemic profile diverges sharply from human cognition. Here we show that the apparent alignment between human and machine outputs conceals a deeper structural mismatch in how judgments are produced. Tracing the historical shift from symbolic AI and information filtering systems to large-scale generative transformers, we argue that LLMs are not epistemic agents but stochastic pattern-completion systems, formally describable as walks on high-dimensional graphs of linguistic transitions rather than as systems that form beliefs or models of the world. By systematically mapping human and artificial epistemic pipelines, we identify seven epistemic fault lines, divergences in grounding, parsing, experience, motivation, causal reasoning, metacognition, and value. We call the resulting condition Epistemia: a structural situation in which linguistic plausibility substitutes for epistemic evaluation, producing the feeling of knowing without the labor of judgment. We conclude by outlining consequences for evaluation, governance, and epistemic literacy in societies increasingly organizedaround generative.

Cc: ronald cicurel ernest davis amitā kapoor darius burschka william hsu moshe vardi luis lamb jelel ezzine amit sheth bernard W. kobes.

See…

Cognitive Enhancement through AI: Rewiring the Brain for Peak Performance

TRENDS Research & Advisory strives to present an insightful and informed view of global issues and challenges from a strategic perspective. Established in 2014 as an independent research center, TRENDS conducts specialized studies in the fields of international relations and political, economic and social sciences.

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