AI & RoboticsNews

IBM taps watsonx generative AI to help modernize COBOL on mainframes

COBOL is not a language often mentioned as a leading programming development one, at least not in 2023. That wasn’t always the case. COBOL, which debuted in 1959, was a leading language in the earliest era of computing and there are still billions of lines of COBOL code running production applications today. Today, IBM announced a new initiative that uses the power of generative AI large…
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AI & RoboticsNews

Less noise, better signals: Why XDR and AI are the future of cybersecurity

Capitalizing on malware-free tradecraft to launch undetectable breaches, attackers rely on legitimate system tools and living-off-the-land (LOTL) techniques to breach endpoints undetected. Malware-free attacks trade on the trust of legitimate tools, rarely generating a unique signature and relying on fileless execution.  Across all malicious activity tracked by CrowdStrike and reported in their…
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AI & RoboticsNews

AI in OT: Opportunities and risks you need to know

Artificial intelligence (AI), particularly generative AI apps such as ChatGPT and Bard, have dominated the news cycle since they became widely available starting in November 2022. GPT (Generative Pre-trained Transformer) is often used to generate text trained on large volumes of text data. Undoubtedly impressive, gen AI has composed new songs, created images and drafted emails (and much more), all…
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AI & RoboticsNews

How businesses can ensure a prolonged AI summer

The excitement around generative AI is a textbook example demonstrating the top of a technology hype cycle. The newest gauge on emerging technologies from Gartner shows gen AI near the “peak of inflated expectations.”  For example, McKinsey has stated that the…
AI & RoboticsNews

How LLMs could benefit from a decades’ long symbolic AI project

One of the main barriers to putting large language models (LLMs) to use in practical applications is their unpredictability, lack of reasoning and uninterpretability. Without being able to address these challenges, LLMs will not be trustworthy tools in critical settings.  In a recent paper, cognitive scientist Gary Marcus and AI pioneer Douglas Lenat delve into these challenges, which they…
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