Jeff Bezos predicts that within the next two decades, solar‑powered gigawatt‑scale data centers in orbit will become cheaper than terrestrial facilities, arguing that space offers uninterrupted power for massive AI training clusters and heralding a new era of space‑based computing.
The article outlines the upcoming high‑bandwidth memory (HBM) generations—from HBM4 to HBM8—detailing their planned release years, data rates, bandwidth, capacity, architectural innovations, and the shift toward memory‑centered computing for AI and high‑performance workloads.
In this extensive interview, Ray Kurzweil discusses his predictions for artificial general intelligence by 2029, the exponential growth of computing power, the impact of AI on medicine, security, brain‑computer interfaces, longevity, and the societal transformation expected around the 2045 singularity.
Bill Gates predicts AI agents will soon replace most apps, prompting designers to rethink user experience, explore new interaction devices, and master AI communication skills, while emphasizing accessible design principles to thrive in a rapidly evolving digital landscape.
This article explores whether AI constitutes a new technological revolution, examines recent breakthroughs like GPT‑4 and AIGC, predicts emerging AI‑driven industries, discusses potential societal impacts, and reflects on the path toward artificial general intelligence and future AI‑human coexistence.
The article explores long‑term technology trends, arguing that inevitable forces like AI, data flow, screen ubiquity, remixing, filtering, interaction, and access will reshape how we create, use, and monetize services, urging continuous learning and collaboration with machines to thrive in a rapidly evolving future.
This article explains the rapid rise of artificial intelligence, outlines China's national AI development plan, compares human and machine intelligence, discusses current AI applications, future job impacts, and the infrastructure that will power the next industrial revolution.
The article traces AI’s origins from the 1956 Dartmouth conference, explains how deep learning has become the driving force behind modern AI applications, discusses the need for a mindset shift, lifelong learning, and strategic adaptation to stay relevant in the rapidly evolving intelligent era.
This article traces the evolution of the Internet from a simple network to a brain‑like architecture, explores the rise of collective intelligence in nature and technology, and predicts how the convergence of human, machine, and cloud intelligence could create an unprecedented superintelligence in the coming years.
The article explores blockchain’s fundamental data structure—a hash‑linked list forming an immutable ledger—and its broader vision of enabling trust‑less, decentralized systems that can reshape finance, governance, and many coordination problems, while warning that speculation currently overshadows its true potential.
The article examines the emerging sex‑robot industry, highlighting predictions of widespread adoption, market size, ethical concerns such as social isolation and potential links to sexual violence, and the broader impact of advanced AI‑driven robotics on society.
The article outlines twelve inevitable technology trends—from continual upgrading and AI‑driven cognifying to ubiquitous screens, data flow, remixing, filtering, interaction, access, sharing, and questioning—explaining how each will reshape products, services, business models, and society over the coming decades.
This article surveys eleven forward‑looking predictions—from cloud computing eclipsing Moore's law to IoT security challenges, video‑centric web experiences, AI‑driven features, evolving UI design, autonomous transport, legal constraints, and the rise of containers—highlighting how programmers must adapt to stay competitive.
In this visionary speech, SoftBank founder Masayoshi Son argues that embracing digitalization, cloud computing, big data, and artificial intelligence is essential for survival, outlines his 30‑year vision, predicts computers surpassing human brains, and describes how cloud‑enabled mobile devices will transform work, education, healthcare, and society.
Kevin Kelly’s three‑hour Stanford talk predicts a shift to an "oxygen" era where wireless data, personal‑device communication, AI, blockchain and immersive technologies will dominate, reshaping business models, innovation cycles and the very way we share and monetize information over the next two decades.
Looking ahead, programmers may see GPUs supplant CPUs, databases handle complex analytics, JavaScript dominate browsers and servers, Android power every device, the Internet of Things expand, open‑source ecosystems seek sustainable funding, CMS tools become richer, plugin‑centric development replace monolithic coding, command‑line interfaces endure, education strives for true simplification, outsourcing battles automation, and managers risk growing technically illiterate.
