MIT scientists investigate memorization risk in the age of clinical AI
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.
Read MoreOptimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
Read MoreGoogle’s alarming AI security alert is a stark warning for executives complacently underestimating risks in the evolving AI landscape. As hackers deploy indirect prompt injections to exploit AI vulnerabilities, organizations must recognize that overlooking these threats is folly. Ignoring cybersecurity imperils investments and operational integrity—risk management isn’t just necessary; it’s a critical enabler for sustainable AI success. Stay vigilant leveraging the ECI framework.
Read MoreQuantum AI isn’t just a vision—it’s the game-changer that CIOs and CDOs must embrace now or risk getting sidelined. Quantum computing and AI promises to transform industries through unprecedented computational power. Early experimentation in model training, drug discovery, and more will separate leaders from laggards.
Read MoreThe approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
Read MoreThe withdrawal of the EU’s AI Liability Directive amplifies complexities for financial institutions facing the convergence of generative AI, quantum computing, and IoT. This legal uncertainty jeopardizes accountability, heightens security vulnerabilities, and compounds systemic risks, compelling a critical transformation in risk management frameworks urgently needed to navigate these evolving challenges.
Read MoreEnterprises are shifting towards privately hosted AI appliances, driven by the need for enhanced data security, compliance, and cost efficiency. This strategic pivot allows organizations to maintain control over sensitive data and optimize performance while facing challenges in deployment. As AI evolves, this decision promises significant competitive advantages across various industries.
Read MoreIn a rapidly evolving technological landscape, cybersecurity strategies must adapt to unprecedented threats posed by GenAI, quantum computing, and IoT convergence. Traditional defenses are inadequate against sophisticated, autonomous attacks that exploit identity confusion and prompt injection. Urgent, proactive governance reforms are essential to safeguard against profound ethical and societal implications.
Read MoreAI is reshaping the battlefield of cybersecurity, acting as both a defender and a threat. Organizations face a stark choice: embrace AI to fortify defenses or risk devastation from increasingly sophisticated attacks. As breaches grow costlier, the call for proactive, intelligent strategies has never been more urgent. Will enterprises adapt or fall prey?
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