Chip Industry Week In Review


Infineon rolled out the world's first 300mm gallium nitride (GaN) wafer, opening the door for high-volume manufacturing of GaN-based power semiconductors. A 300mm wafer contains 2.3 times as many chips per wafer as a 200mm wafer. Fig.1: Infineon's 300mm GaN wafer. Source: Infineon The Semiconductor Industry Association released its 2024 State of the U.S. Semiconductor Industry report th... » read more

Chip Industry Week In Review


By Adam Kovac, Karen Heyman, and Liz Allan. India approved the construction of two fabs and a packaging house, for a total investment of about $15.2 billion, according to multiple sources. One fab will be jointly owned by Tata and Taiwan's Powerchip. The second fab will be a joint investment between CG Power, Japan's Renesas Electronics, and Thailand's Stars Microelectronics. Tata will run t... » read more

Money Pours Into New Fabs And Facilities


Fabs, packaging, test and assembly, and R&D all drew major funding in 2023. Companies poured money into offshore locations, such as India and Malaysia, to access a larger workforce and lower costs, while also partnering with governments to secure domestic supply chains amid ongoing geopolitical turmoil. Looking ahead, artificial intelligence (AI), quantum computing, and data applications... » read more

Chip Industry Week In Review


By Gregory Haley, Jesse Allen, and Liz Allan TSMC told equipment vendors to delay deliveries of the most advanced tools due to uncertain demand, according to Reuters. The news drove down stock prices of all the major equipment providers. On the other hand, TSMC said advanced packaging shortages will constrain AI chip shipments for the next 18 months, according to NikkeiAsia. The United St... » read more

Inside AI And Deep Learning


Semiconductor Engineering sat down to talk with Dave Schubmehl, research director for content analytics, discovery and cognitive systems at International Data Corp. (IDC), a market research firm. Schubmehl’s research covers information access, artificial intelligence, cognitive computing, deep learning, machine learning and other topics. He also addressed neuromorphic technology. What follows... » read more