ML for Cybersecurity: Detecting Anomalies and Threats
In today’s hyperconnected digital landscape, cybersecurity has become one of the most pressing concerns for individuals, organizations, and governments. Traditional defense systems, while essential, are no longer sufficient to keep up with the rapidly evolving and increasingly sophisticated cyber threats….
Explainable AI (XAI): Why Transparency in ML Matters
In recent years, machine learning and artificial intelligence have transformed industries—from finance and healthcare to marketing and criminal justice. However, as these technologies become more embedded in our daily lives, a critical question arises: “Can we trust what we don’t…
TinyML and Edge AI: The Future of Smart, Local Intelligence
In today’s data-driven world, artificial intelligence (AI) is rapidly becoming the heartbeat of modern technology. While cloud-based AI has brought us incredible capabilities—from voice assistants to recommendation engines—it comes with challenges like latency, bandwidth, and privacy concerns. Enter TinyML and…