Paragraphica – Context to image (AI) camera

Created by Bjørn KarmannParagraphica is a camera that utilizes location data and AI to visualize a “photo” of a specific place and moment. The camera exists both as a physical prototype and an online camera that you can try.  — Read More

#image-recognition

350+ industry leaders sign Statement on AI Risk

Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war. — View the List of Signatories

#singularity

Don’t Get Distracted by the Hype Around Generative AI

Tech bubbles are bad information environments.

Technology bubbles can pose difficult quandaries for business leaders: They may feel pressure to invest early in an emerging technology to gain an advantage over competitors but don’t want to fall for empty hype. As we enter a period of greater economic uncertainty and layoffs in multiple industries, executives are grappling with questions about where to cut costs and where to invest more.

The rapidly developing field of artificial intelligence and machine learning poses a particular challenge to business decision makers. Investments in proven predictive models are increasingly seen as sound and are expected to drive an increase in spending on AI from $33 billion in 2021 to $64 billion in 2025. But further out on the cutting edge, generative AI is sparking a huge amount of noise and speculation. — Read More

#strategy

AI Coding Tools

Coding is arguably the single best application of large language models (LLMs) to date! The market for AI Coding tools is booming, with 100+ tools and competition across Big Tech, established Unicorns and emerging AI-native startups. Read on for an introduction. [1/13] — Read More

#devops

Introducing Charlotte AI, CrowdStrike’s Generative AI Security Analyst: Ushering in the Future of AI-Powered Cybersecurity

… Charlotte AI is a new generative AI security analyst that uses the world’s highest-fidelity security data and is continuously improved by a tight feedback loop with CrowdStrike’s industry-leading threat hunters, managed detection and response operators, and incident response experts. This is the first offering built using our Charlotte AI engine and will help users of all skill levels improve their ability to stop breaches while reducing security operations complexity. Customers can ask questions in plain English and dozens of other languages to receive intuitive answers from the CrowdStrike Falcon platform. 

Currently available in private customer preview, Charlotte AI initially addresses three common use cases:

  • Democratizing Cybersecurity – Every User Becomes a Power User: With Charlotte AI, everyone from the IT helpdesk to executives like CISOs and CIOs can quickly ask straightforward questions such as “What is our risk level against the latest Microsoft vulnerability?” to directly gain real-time, actionable insights, drive better risk-based decision making and accelerate time to response.
  • Elevate Security Analyst Productivity with AI-Powered Threat Hunting: Charlotte AI will empower less experienced IT and security professionals to make better decisions faster, closing the skills gap and reducing response time to critical incidents. New security analysts, such as a Tier 1 member of a SOC, will now be able to operate the CrowdStrike Falcon platform like a more advanced SOC analyst.
  • The Ultimate Force Multiplier for Security Experts: Charlotte AI will enable the most experienced security experts to automate repetitive tasks like data collection, extraction and basic threat search and detection while making it easier to perform more advanced security actions. It will also accelerate enterprise-wise XDR use cases across every attack surface and third-party product, directly from the CrowdStrike Falcon platform. Hunting and remediating threats across the organization will be faster and easier by asking simple natural language queries.
Read More

#cyber