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AI Archives - AI Toolchest

AI

Google Gemini 3 Deep Thinking

Google Gemini 3 Deep Thinking is Released in AI Ultra Plan

Google Gemini 3 Deep Thinking in AI is an advanced reasoning mode introduced within Google’s Gemini 3 Pro model, designed to handle complex math, science, and logic problems. It leverages parallel reasoning techniques to explore multiple hypotheses simultaneously, enabling more refined and nuanced solutions. This mode is particularly effective for challenging tasks that require deep […]

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Crime AI Model

Crime AI Model Trained on Prison Phone Calls: A Surprising New Tool for Crime Prevention

The AI model for crime prevention is reshaping how justice systems operate, particularly within prisons. By leveraging vast amounts of communication data from incarcerated individuals, these models aim to detect and prevent criminal activities before they occur. This innovation raises important discussions about ethics, privacy, and the implications of using AI in such sensitive contexts.

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AI Costs

AI Costs Under Control: 5 Practical Strategies to Save Money

Managing AI Costs requires understanding the main cost drivers and planning budgets accordingly. Because AI spending is often usage-based and variable, it’s essential to break investments into key components and estimate needs accurately. Without proper budgeting, costs can escalate quickly, especially with large or unpredictable workloads. Understanding AI Costs and Budgeting Breaking Down AI Investment

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Gemini button in chrome

Gemini button and more new AI features from Google Chrome coming soon

Introducing the Gemini Button The Gemini button is a new feature in how Google integrates AI directly into Chrome. Essentially, it’s a dedicated shortcut—usually placed in the top right corner of the browser—that launches Google’s latest AI assistant, Gemini, right at your fingertips. When you click on this button, you’re activating an intelligent chatbot capable

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Salesforce CoAct-1

Salesforce CoAct-1 revolutionizes AI with this new model for Efficient Automation

The introduction of Salesforce CoAct-1 marks a new advancement in AI-driven automation, aiming to streamline processes and enhance efficiency across various business functions. This model shifts how organizations deploy intelligent automation, offering new capabilities that improve speed, accuracy, and scalability. Understanding Salesforce CoAct-1 and Its Impact on AI What is Salesforce CoAct-1? Salesforce CoAct-1 is

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Kaggle Game Arena

Kaggle Game Arena: New AI Benchmarking Platform From Google Sparks Excitement with 2025 Chess Tournament Start

Kaggle Game Arena, Google’s latest venture into AI evaluation platforms is designed to offer new AI capabilities. Unlike traditional static benchmarks, Kaggle Game Arena offers a dynamic environment where models compete head-to-head in complex games like chess, Go, and even multiplayer strategies such as Werewolf. This new platform is not just about testing raw performance;

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Gemini 2.5 Pro deep think

Gemini 2.5 Deep Think: Google’s Most Advanced Reasoning Model Unveiled

Gemini 2.5 Deep Think show significant new capacities in artificial intelligence, primarily because of its advanced reasoning skills. Unlike traditional models that often generate quick but surface-level responses, this system is designed to explore multiple ideas in parallel, much like how a human brain juggles different hypotheses before deciding on the best course of action.

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AI Disease Diagnosis

AI Disease Diagnosis Accuracy Surpasses Doctors by 4 Times in New Microsoft Tool

Among the most exciting developments in AI is the emergence of AI disease diagnosis systems that outperform traditional methods in accuracy and efficiency. Microsoft has recently made headlines with its groundbreaking AI tool that claims to diagnose complex diseases four times better than human doctors. This leap forward isn’t just about shiny new tech—it’s about

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Agent2Agent Protocol

Agent2Agent: Exciting New Protocol for Seamless AI Collaboration

Agent2Agent (A2A) is making waves in the tech world with its promise to revolutionize how AI agents collaborate across various platforms and vendors. As Google announces this open interoperability protocol, it aims to dissolve the barriers that have traditionally kept AI systems siloed and unable to communicate effectively. By standardizing interactions between different agents, A2A

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