As artificial intelligence (AI) continues to evolve, its role in software development leadership is becoming increasingly significant. One of the most transformative advancements in this space is Agentic AI, a category of AI that autonomously makes decisions, adapts to environments, and optimizes software production without excessive human intervention. By leveraging agentic AI technologies, software development…

Startups often celebrate funding rounds as milestones of success, with larger raises seen as indicators of future prosperity. Yet, recent trends suggest that overfunding carries significant risks, sometimes undermining a fledgling company’s growth and long-term sustainability. According to Crunchbase, some early-stage companies that secure excessive capital before establishing solid business foundations can become financially inefficient,…

Jensen Huang’s keynote address at Nvidia’s GTC 2025 event was nothing short of groundbreaking. A pivotal moment for artificial intelligence, semiconductor advancements, and the evolving role of accelerated computing, the keynote set forth a vision for how Nvidia is shaping the future of enterprise AI, deep learning, and data center computing. Huang, the co-founder and…

Netflix co-founder Reed Hastings has made a significant philanthropic move by funding a new Artificial Intelligence and Humanity initiative at Bowdoin College with a $30 million donation. The initiative aims to foster interdisciplinary research on AI’s impact on society, ethics, and human development. As AI continues to permeate various industries, Hastings’ contribution will support faculty,…

Investing in early-stage startups can be an exhilarating yet complex endeavor. Investors often adopt vastly different strategies when allocating capital. Two dominant investing styles, known as “Polar Bears” and “Buffaloes,” reflect contrasting philosophies on risk, networking, and deal sourcing. These terms were recently explored in a Crunchbase article, which examined how venture capitalists align their…

The debate over open-source artificial intelligence (AI) has grown increasingly complex, particularly concerning “selective transparency”—a practice where companies selectively disclose certain aspects of their AI models while keeping other details proprietary. While maintaining some level of secrecy can protect intellectual property and security, this approach raises significant ethical, economic, and governance concerns. As AI technology…