AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
Data integrity is key to the success of any cell therapy program. CDMOs can implement robust data management systems for ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...
IoT penetration testing is a security assessment of the complete IoT ecosystem, from backend systems and cloud services to mobile devices and hardware. It involves a multi-stage simulated attack on ...
MedTech manufacturers are pushing for greater precision. Nordson EFD, a fluid dispensing systems specialist, is optimizing with automated and jetting systems. Integrated MES, ...
From Data Entry to Strategy, AI Is Reshaping How We Do Taxes ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
The cybersecurity landscape in 2026 will be dominated by AI-embedded risks, autonomous attacks, and supply chain ...
Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.
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ACES set to establish specialized higher learning institute to drive clean cooling skills in Rwanda
Africa Centre of Excellence for Sustainable Cooling and Cold-Chain (ACES) convened leading experts, regulators, universities, and industry partners in Kigali on January 15, for the External Review and ...
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