At the opening of the Intel Developer Forum in San Francisco, Paul S. Otellini unveiled Intel's next-generation, power-optimized micro-architecture for future digital home, enterprise, mobile and emerging market platforms -- and low-power products that will enable a new category of converged consumer devices. Intel will introduce a micro-architecture in the second half of 2006, that combines the company's current Intel NetBurst and Pentium M micro-architectures and adds new features. "We will deliver factor of 10 breakthroughs to a variety of platforms that can reduce energy consumption tenfold or bring 10 times the performance of today's products. At the same time, Intel innovation will continue to deliver unique digital enterprise, home, office and mobile features, such as greater manageability, security and virtualization, along with an increasing capability to manage and view digital content," Otellini said. Intel currently has more than 10 processor projects that contain four (quad-core) or more processor cores per chip. Otellini also announced that forthcoming lower-power products will lead to a new category of ultra energy-efficient Handtop PC devices that provide a converged communication and PC-like experience but require less than a watt of processing power and weigh under a pound.
Technology is a compelling catalyst for economic growth across the globe. Artificial intelligence (AI) rides a seismic wave of transformation in the Asia-Pacific (APAC) region — a market bolstered by bold government initiatives, swelling pools of capital, and vibrant tech ambition. The latest IDC analysis sheds light on this dynamic market. Despite a contraction in deal volumes through 2024, total AI venture funding surged to an impressive $15.4 billion — a signal of the region’s resilience and the maturation of its digital-native businesses (DNBs). Asia-Pacific AI Market Development The APAC AI sector’s funding story is not just about headline numbers but also about how and where investments are shifting. Even as the number of deals slowed, the aggregate value of investments climbed, reflecting a preference among investors for fewer but larger, high-potential bets on mature or highly scalable AI enterprises. The information technology sector led the AI investment charge. Top area...