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Tuesday, July 7, 2026

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Artificial Intelligence (AI)

Microsoft Unveils Majorana 1: A Quantum Computing Breakthrough

Microsoft introduces Majorana 1, a topological qubit-based quantum processor that will pave the way for scalable quantum computing and reshape cybersecurity timelines.

Anthropic Unveils Claude 3.7 Sonnet, a Hybrid AI Reasoning Model

Claude 3.7 Sonnet combines real-time responses with deep reasoning, offering users control over AI thinking time. Available now for premium Anthropic users.

Remy Acquires Kitche to Tackle Food Waste with AI

Remy acquires UK-based Kitche to expand its AI-driven platform. By optimizing meal planning and ingredient use, Remy reduces food waste in homes across the UK and Europe.

Luminance Raises $75M to Power Global Legaltech Growth

London-based Luminance secures $75M Series C led by Point72 to boost its AI-driven legal platform and expand in the US, APAC, and Europe.

From ChatGPT to Gemini: How AI Is Rewriting the Internet

AI chatbots like ChatGPT, Bing Chat, and Bard are transforming search and conversation. Explore their impact, challenges, and the future of conversational AI.

DeepSeek AI: How Sparsity is Disrupting AI Efficiency

DeepSeek AI uses sparsity to rival OpenAI models at lower costs. Learn how this optimization technique is reshaping AI efficiency and accessibility.

Google Unveils AI Co-Scientist for Advanced Research

Google’s AI Co-Scientist, powered by Gemini 2.0, aids researchers by generating novel hypotheses and accelerating scientific discovery with multi-agent AI.

Former OpenAI CTO Mira Murati Launches AI Startup

Mira Murati unveils Thinking Machines Lab, an AI startup focused on AI alignment, poaching top talent from OpenAI, Meta, and Mistral to build safer AI systems.

BeyondTrust Unveils True Privilege for AI-Powered Security

BeyondTrust's True Privilege uses AI-driven graph analysis to expose hidden attack paths, enhancing identity security beyond traditional PAM solutions.

Explained: Zero-Shot Learning

Zero-shot learning enables AI to classify unseen data using learned attributes, embeddings, or generative models. Explore its types, applications, benefits and challenges.

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