Is Bengaluru's Startup Growth Hindered by Talent Shortages? | AIM – analyticsindiamag.com

HELSINKI, Finland (June 2, 2026) — It is often rumored that the mild climate is the real secret of Silicon Valley. This rule doesn’t seem to apply in Europe, since the farther north we go, the higher is the ability to start and scale innovative companies. This is what reveals the latest Monitor presented today…

AI agents are starting to execute more sophisticated tasks, such as identifying vendors that can deliver freight, comparing prices, and messaging the vendor to organizing a delivery. But when it comes to making a payment for the shipment, they still need to involve a human. Today’s financial sector relies on financial rails, the underlying infrastructure…

Santa Clara-based Eliyan has raised $145 million in an oversubscribed Series C, reaching a $1 billion valuation, led by Seligman Ventures with new strategic investors Cisco Investments and Lumentum. Founded by repeat entrepreneurs Ramin Farjadrad, Patrick Soheili, and Syrus Akbari, Eliyan is building the high-speed interconnect technology that powers the next generation of AI infrastructure….

Ollie Priestley is not just doing any mechanical apprenticeship. Working at specialist car restoration business Tolman, Priestley, 29, has embarked on a “heritage vehicle technician” apprenticeship. He’s learning the skills to work on modern classic cars that need a mix of traditional and new techniques to restore. New technologies are enabling those techniques – from…

Alphabet shares closed 1.51% higher on Monday after The Information reported the company is developing a new server chip, internally dubbed “Frozen v2,” designed to run Gemini models more efficiently. The chip would permanently embed parts of Gemini’s architecture directly into the silicon, reducing the number of calculations and amount of data movement required to…

On a GPU inference pod, CPU is a decorrelated proxy: it can sit at 30% while the accelerator is pinned and requests pile up behind it. Scale on the signal actually on the critical path—backlog and GPU utilization—with KEDA. On a GPU-served model, the CPU handles tokenization, HTTP, and batch assembly. The work that…