In August 2022, the National Institute of Standards and Technology (NIST) unveiled its first set of post-quantum encryption standards. This represents a pivotal moment in the ongoing battle between cryptography and its adversaries. Given that quantum computing is no longer a mere concept relegated to the realms of science fiction, these new standards symbolize a
AI
In the fast-paced world of technology, artificial intelligence (AI) is steadily transforming the business landscape. As companies explore the potential of AI, a fascinating phenomenon is emerging: even the most logical business decisions are being influenced by the emotional and psychological nuances that shape human behavior. While enterprises often approach technology acquisition with a rational
The Social Security Administration (SSA) stands at a critical juncture as it grapples with the daunting task of migrating its legacy COBOL code to modern programming languages. This ancient coding language, which powers the vital functions of issuing social security numbers and managing beneficiary payments, is a relic of a bygone era and poses significant
As artificial intelligence continues to permeate various sectors, the Model Context Protocol (MCP) stands as a beacon of possibility. This protocol, an open standard designed to enhance how AI agents interact with diverse tools and data, has recently reached a significant milestone with the introduction of its latest version. The upgrades not only focus on
In a world increasingly fueled by the necessity for advanced computational capabilities, Extropic emerges as a potential game-changer. Under the visionary leadership of CEO Guillaume Verdon, this innovative company is carving a niche for itself within the competitive echelons of tech giants like Nvidia. The foundation of Extropic’s breakthrough rests on a startlingly ambitious premise:
In the challenging landscape of artificial intelligence, businesses often find themselves at an impasse: they have the ambition and the raw data, but the quality of that data is typically far from ideal. Jonathan Frankle, the chief AI scientist at Databricks, recognizes this pervasive issue among companies trying to deploy AI solutions effectively. His insights
As humanity surges ahead into an increasingly digital and interconnected world, a shadow looms on the horizon—a revolution in computing that promises to upend our understanding of security and privacy. This potential paradigm shift, known colloquially as Q-Day, is the day when quantum computing achieves the capability to break current encryption methods that safeguard everything
When Apple first set its sights on acquiring Siri, the excitement within the company was palpable. Steve Jobs, in particular, was enchanted by the innovative potential of this digital assistant. Yet, as the curtain lifted on Siri’s capabilities, the reality was far less thrilling. Despite the optimism from Apple’s leadership, the raw technology behind early
The term “open source” which once resonated primarily within tech circles, has now permeated the mainstream public discourse, particularly in light of the rapid evolution of artificial intelligence. As corporate titans rush to incorporate AI into their operations and even embed the term into their branding, we witness an intriguing yet precarious moment. An environment
In the tech industry, particularly within Silicon Valley, innovation often hinges on one critical factor: profit. Google, a company renowned for its groundbreaking inventions, is no exception. As it delves into the world of artificial intelligence (AI) with its Gemini app, the question remains: how will this technology translate into financial gain? Current trends suggest