2024 was a landmark year for the AI industry. According to TechCrunch, 49 startups secured over $100 million in funding, with seven raising over $1 billion and three securing multiple mega-funding rounds. This momentum continues into 2025. Despite it being early in the year, the number of US AI companies receiving over $100 million in funding is nearing double digits, with at least one round exceeding $1 billion. The following are the companies that have secured over $100 million in funding so far in 2025...

Despite the overall risk investment trend in Europe stabilizing, the vigorous development of AI startups may be overlooked. According to data from venture capital firms Balderton Capital and Dealroom, this year 25% of venture capital in Europe (approximately $13.7 billion) has flowed into AI startups, compared to just 15% four years ago. This has led to the emergence of several new unicorns, such as Poolside and Wayve. James Wise, a general partner at Balderton Capital, stated that...

Hock Tan, CEO of the American semiconductor company Broadcom, recently stated at an investor conference that the investment boom in artificial intelligence (AI) by tech giants is expected to continue until the end of this century. He emphasized that despite global economic challenges, spending in the AI sector is rapidly increasing, indicating strong market demand. Image source note: The image is generated by AI, image provided by the service provider Midjourney. Hock Tan pointed out at the conference that tech companies are 'fully investing' in

With the rapid development of generative AI technology, the amount of e-waste generated is expected to increase significantly in the coming years. A global research analysis predicts that by 2030, AI-related e-waste will skyrocket from 2,600 tons in 2023 to 2.5 million tons. This figure is equivalent to nearly two discarded iPhones for each of the 8.5 billion people worldwide, raising serious concerns about environmental impacts. Image source note: Image generated by AI, provided by the image licensing service Midjourney.

In the latest report from the developer platform GitHub, Python has successfully surpassed JavaScript to become the most widely used programming language. This shift is primarily attributed to the ongoing boom in generative artificial intelligence (AI). The increasing significance of Python in machine learning, data science, and scientific computing has propelled its rise in the open source community. GitHub notes that Python's popularity is linked to the growing number of STEM (Science, Technology, Engineering, and Mathematics) developers.

DataBank, a data center developer based in the United States, has successfully raised nearly AUD 3 billion (approximately USD 2.01 billion) to build three new data center facilities in the United States. The lead investor in this round of financing is AustralianSuper, the largest superannuation fund in Australia. Image source note: Photo generated by AI, image licensed by Midjourney. AustralianSuper stated on Wednesday that it has invested in DataBank's financing plan.

Recently, TSMC announced that it expects a significant profit increase of 40% in its upcoming Q3 earnings report. This surge is primarily attributed to the booming demand for artificial intelligence (AI) chips. As the world's largest contract chip manufacturer, TSMC's clients include renowned companies such as Apple and Nvidia, which are actively advancing AI technology. According to LSEG's smart estimate, analysts predict that TSMC's net profit for the third quarter ending September 30 will reach NT$298.2 billion (approximately US$9.27 billion).

Artificial intelligence is entering the realm of music creation at an unprecedented speed, sparking intense debate about the essence of art and creation rights. From viral AI-generated songs to legal lawsuits from major record companies, AI music is reshaping the entire music industry landscape. On one hand, AI music technology has opened the doors of creation for ordinary people. Platforms like Boomy and Sound Draw allow users without professional music backgrounds to easily create songs. This democratized approach to creation has garnered support from some artists, who believe it can激

Recently, new data released by payment technology company Stripe has garnered widespread attention, showing that artificial intelligence (AI) startups are exhibiting an extraordinary speed in revenue growth. Unlike traditional software companies, these AI firms can reach millions of dollars in sales within just a year, which has surprised many. Note: Image generated by AI, licensed by Midjourney. In previous tech startup waves, many startups took years to achieve significant profitability, but now...

Recently, a report from Bain & Company warned that with the surge in demand for AI semiconductors and AI smartphones and laptops, the world may face the next chip shortage. It’s worth noting that the last large-scale semiconductor shortage occurred during the pandemic, when supply chains were disrupted and demand for electronic products soared due to everyone working from home. Now, tech giants are scrambling to purchase graphics processing units (GPUs), particularly those from Nvidia. These GPUs are the secret weapon for training large AI models.

Recently, the shipment of AI PCs has been rapidly increasing, thanks to the collective efforts of chip manufacturers like Qualcomm, Intel, and AMD. These companies are driving PCs equipped with neural processing units (NPUs) into the mainstream market, enabling AI computing power directly on personal computers. In addition to the consumer market, businesses and developers are also actively seeking to upgrade their computers, making this upgrade cycle one of the largest in history. Image source notes: The image was generated by AI, image licensed from service provider Midjourney.

The generative AI market is developing rapidly, with projections estimating it will reach $40 billion by 2024 and soar to $1.5 trillion by 2030, achieving an impressive annual growth rate of 83%. Its applications are vast, spanning text, images, and music. As AI technology shifts towards edge computing, the share of AI-related software and services is expected to significantly increase over the next five years, projected to account for 32% and 55% of the market by 2030, becoming a crucial driver of market expansion.