Google unveils the Pixel 10 with the cutting-edge Tensor G5 chip, Gemini Nano AI model, and innovative features like Magic Cue, Voice Translate, writing assistance, music creation tools, and visual guidance from Gemini Live.
In a controversial move raising security concerns, President Trump authorizes Nvidia and AMD to sell advanced AI chips to China in exchange for a 15% revenue share, redefining U.S. export control policy as a bargaining chip for economic gain.
SoftBank injects $2 billion into Intel, acquiring a 2% stake as the chipmaker battles Nvidia in the AI race, with Intel shares rising 6% on the investment announcement.
SoftBank, the Japanese tech conglomerate, injects a massive $2 billion investment into Intel, the American semiconductor giant, sending Intel's shares soaring 6% in after-hours trading as the struggling chipmaker receives a much-needed financial boost.
The White House is considering taking a 10% stake in Intel as part of its push to bolster domestic chipmaking and national security, fueling a recent 18% rally in Intel's stock.
In a major move, SoftBank injects $2 billion into Intel at $23/share, bolstering U.S. semiconductor self-sufficiency and AI ambitions, supporting Intel's 18A chip manufacturing node and AI roadmap to compete with TSMC, NVIDIA, and AMD amidst intense competition, government subsidies, and geopolitical factors.
SoftBank Group Corp. invests $2 billion in Intel at $23 per share, deepening their commitment to semiconductor innovation and AI technology in the United States.
Meta's upcoming 'Hypernova' smart glasses, priced between $800 and $1,000, feature a tiny display for viewing photos, apps, and notifications, with the tech giant lowering the expected cost to boost demand for the innovative wearable device.
Major tech firms pour billions into AI development, igniting a fierce arms race that exacerbates skilled labor shortages and surging emissions, undermining net zero commitments amidst the AI frenzy.
Chinese AI firm DeepSeek delays release of its new model due to persistent technical issues encountered while attempting to train it using Huawei's domestic Ascend chips, forcing it to rely on Nvidia chips instead, underscoring challenges facing China's push for technological self-sufficiency.