In one of the most significant moves in the defense technology space so far in 2025, Anduril Industries has secured a mammoth $2.5 billion in funding, marking not only the largest private investment round in defense this year, but also positioning the startup as a seismic force amid growing interest in AI-powered military applications. This…

In a bold leap toward transforming how brands interact with customers, a new Text-to-Speech (TTS) model has delivered what many AI systems only promise — measurable, revenue-driving performance. As reported by VentureBeat in early 2025, this state-of-the-art voice AI platform, developed by AI startup ElevenLabs, has helped select Fortune 500 companies increase conversion rates and…

In a significant strategic shift that reflects the increasingly competitive landscape of AI hardware, Advanced Micro Devices (AMD) has acquired the engineering team of Untether AI, a Toronto-based startup specializing in AI inference acceleration. This move, which includes the absorption of Untether AI’s core staff but not its physical products or IP portfolio, signals a…

After nearly two years of cautious capital deployment and tightened valuation expectations, 2025 has ushered in a welcome thaw for startups across key sectors. The recent surge of funding rounds—some topping hundreds of millions—signifies a reversal of the VC winter that had gripped innovation hubs since mid-2022. Notably, startups in artificial intelligence (AI), enterprise SaaS,…

In the swiftly evolving field of artificial intelligence, model performance—especially in specialized domains like coding—has become critical for organizations seeking to leverage LLMs (Large Language Models) for real-world applications. Google’s latest update to its Gemini series, the Gemini 2.5 Pro model, is making headlines for outperforming top competitors including DeepSeek R1 and xAI’s Grok-3 Beta…

The rise of artificial intelligence (AI) has brought transformative innovation across sectors, but it has also unleashed a complex array of cybersecurity threats. Of particular concern is the inference phase of AI workloads—where models are actually used in production to generate predictions—which has become a fertile ground for new security vulnerabilities. In May 2024, Databricks…