Top 30 Technology & AI News

Top 30 Technology & AI News

Nvidia partners with South Korea to boost AI infrastructure

By AP News |

Summary: NVIDIA has announced a major partnership with the South Korean government and leading companies (including Samsung, SK Hynix and Hyundai) to enhance the country’s AI infrastructure. NVIDIA will supply about 260,000 GPUs (including its new Blackwell AI chips) to power national cloud projects and corporate R&D in semiconductors and autonomous technology.

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Apple delivers strong quarter despite trade war and AI challenges

By AP News |

Summary: Apple reported higher-than-expected results for Q3 2025 driven by robust demand for its new iPhone 17 lineup. The redesigned iPhone (with a “liquid glass” display) helped boost revenue, especially in the U.S. and Europe, even as Apple absorbed rising U.S. tariffs on Chinese imports and noted lagging progress on some AI features.

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Mistake-filled legal briefs highlight AI’s limits at work

By AP News |

Summary: Artificial intelligence is increasingly used in workplaces, but its shortcomings are becoming clear. In the legal field especially, judges are seeing briefs with invented citations and incorrect information from AI “hallucinations.” A French researcher documented hundreds of cases of AI-generated errors, and even major firms (like MyPillow’s lawyers) have submitted flawed AI-written docs.

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Universal Music settles dispute with AI song tool Udio

By AP News |

Summary: Universal Music Group (UMG) has settled its copyright lawsuit with AI music platform Udio and announced a new partnership. The agreement licenses music for AI-generated song creation and will launch an AI-powered streaming service next year. Udio agreed to stop offering AI-generated song downloads for now, a move that upset some users. The deal is the first major resolution after UMG sued AI firms (including Suno) over unlicensed use of songs.

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Samsung reports 32% rise in Q3 profit, credits AI chip demand

By AP News |

Summary: Samsung Electronics posted a record Q3 2025, with operating profit up 32.5% year-over-year. Revenue hit a record 86 trillion won, driven mainly by recovering demand for high-bandwidth memory chips used in AI data centers. The semiconductor division’s profit leapt back as sales of advanced memory (including HBM3E) surged. Samsung says a strong market is fueled by continued AI investment worldwide.

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AI chipmaker Nvidia becomes world’s first $5 trillion company

By AP News |

Summary: Nvidia’s stock surged to make it the first company ever valued at $5 trillion, a milestone highlighting its dominance in supplying AI-capable GPUs to data centers and cloud providers (for systems like ChatGPT). Nvidia crossed the $4 trillion mark just months earlier amid booming AI demand. Analysts note regulators are warning of a potential AI-driven market bubble despite this runaway rise.

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Amazon cuts 14,000 corporate jobs to accelerate AI spending

By AP News |

Summary: Amazon announced it will eliminate roughly 14,000 corporate positions (about 4% of its corporate workforce) as part of cost-cutting amid a surge in AI investment. The cuts affect areas like devices, advertising, HR and AWS. Impacted employees get 90 days to find new roles or receive support. The company says it now has over 1,000 AI projects in the works and is building new AI-powered campuses in the U.S., even as it trims headcount to manage expenses.

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Microsoft’s new AI avatar “Mico” aims to learn from Clippy

By AP News |

Summary: Microsoft has introduced “Mico,” a cartoon-style animated face for its Copilot AI assistant, hoping to succeed where the old “Clippy” assistant failed. Mico is designed to be an empathetic, responsive helper that reflects emotion and context. Unlike Clippy (which was often seen as annoying), Mico aims to balance friendliness with utility. Microsoft says Mico is built into Copilot and is intended as a helpful AI guide without being intrusive.

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Poll: Americans worry about AI’s environmental impact

By AP News |

Summary: A new AP-NORC poll finds that Americans are increasingly concerned about the environmental cost of AI technology. Voters worry about data centers (which require massive electricity and water) causing higher carbon emissions. In fact, respondents rated AI’s environmental impact as worse than industries like crypto, meat production or air travel. The poll notes some tech firms are exploring nuclear power for data centers but are also scaling back on emission goals.

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Prince Harry, Meghan call for ban on AI “superintelligence”

By AP News |

Summary: Prince Harry and Meghan, alongside tech pioneers like Geoffrey Hinton and Steve Wozniak, have joined a coalition urging a halt to developing AI “superintelligence” without strict safety checks. In a statement organized by the Future of Life Institute, dozens of public figures demand regulations to prevent AI from becoming uncontrollable. The letter warns of existential risks and calls for transparency and public oversight as AI approaches human-like or greater intelligence.

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UK and US to sign multi-billion tech deal including AI

By Reuters |

Summary: The UK and US have agreed to a major multi-billion dollar technology partnership to be signed during President Trump’s state visit to the UK. The agreement will deepen collaboration on emerging technologies – specifically naming artificial intelligence, semiconductors, telecommunications and quantum computing – and includes significant investments (e.g. $700 million into UK data centers via BlackRock).

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Oracle CEO: AI demand far outstrips supply

By Reuters |

Summary: Speaking at the Future Investment Initiative summit in Riyadh, Oracle CEO Safra Catz (Mike Sicilia was a placeholder error) said the long-term value of AI is very strong, dismissing talk of an AI bubble. She emphasized that industry demand for AI far exceeds current chip supply, signaling confidence in continued growth of the AI market. Her comments underline a positive outlook for scaling AI developments globally.

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Qatar says AI will be central to future US investments

By Reuters |

Summary: At a Riyadh investment conference, Qatar’s Finance Minister Ali Al-Kuwari announced that artificial intelligence will be a major focus of the Qatar Investment Authority’s future investments in the United States. He stressed the rapid growth and potential of the AI sector, noting that QIA plans to invest $500 billion in the U.S. over the next decade and will direct a significant portion of that into AI-driven companies and infrastructure.

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Asian stocks rise on AI optimism

By Reuters |

Summary: Asian markets climbed as investors cheered strong AI-driven news. Nvidia announced $500 billion in new AI chip bookings and plans to build seven U.S. supercomputers, while Microsoft revealed a 27% stake in OpenAI as it reorganizes the AI startup. The tech-fueled rally lifted stock indexes across Japan, South Korea and China, highlighting broad market confidence in AI growth.

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Saudi PIF warns AI could worsen inequality

By Reuters |

Summary: At the start of Saudi Arabia’s Future Investment Initiative in Riyadh, Public Investment Fund governor Yasir Al-Rumayyan warned that artificial intelligence could exacerbate global inequality. Citing research, he noted that three out of four people fear AI will widen educational gaps between rich and poor countries. The comments underscore rising concern even among tech investors about the social impact of rapidly advancing AI.

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Nvidia to ship over 260,000 AI chips to South Korea

By Reuters |

Summary: Nvidia announced it will supply more than 260,000 of its new Blackwell AI chips to South Korea. The deal provides 50,000 chips each to the government and to major corporations (Samsung, SK Group and Hyundai) to build advanced AI infrastructure and smart factories. South Korea’s government sees this as a key step in its push to become a major regional AI hub.

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Tech giants report strong results amid AI warnings

By Reuters |

Summary: As Microsoft, Alphabet, Amazon and Meta prepared their Q3 earnings reports, analysts cautioned about a possible AI investment bubble. All are expected to show strong growth fueled by AI projects. Reuters notes these and other tech firms will spend roughly $400 billion on AI infrastructure this year – even though a study finds only 5% of AI projects yield clear ROI, highlighting the hype-vs-reality gap.

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Microsoft, OpenAI restructure partnership

By Reuters |

Summary: Microsoft and OpenAI have restructured their deal, allowing OpenAI to convert into a public benefit corporation valued at $500 billion. This new arrangement gives OpenAI greater independence and the freedom to partner with other cloud providers, while Microsoft retains certain special rights. The move is aimed at enabling OpenAI to raise more capital and expand its AI efforts more broadly.

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PhD student uses brain-inspired computing for green AI

By MIT News |

Summary: MIT PhD student Miranda Schwacke is developing new computing approaches inspired by the human brain to make artificial intelligence more energy-efficient. Her work aims to reduce the huge power consumption of current AI systems by mimicking neural processes. By exploring brain-like computing hardware and algorithms, she hopes to fuel “sustainable AI” that delivers performance without multiplying energy use.

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Creating AI that matters through the MIT-IBM Watson Lab

By MIT News |

Summary: MIT and IBM’s Watson Lab are collaborating to shape “AI that matters” by focusing on socially beneficial applications. They are working on AI-sociotechnical systems that address real-world challenges, such as healthcare, education and sustainability. The partnership emphasizes ethical and human-centered AI design to ensure advanced technology serves society’s needs.

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MIT tool generates eco-friendly clothing designs

By MIT News |

Summary: Researchers at MIT have developed software called “Refashion” that helps consumers design adaptable, upcyclable clothing. The program lets users pick garment styles (like pants or skirts) that can be easily reconfigured or patched into new outfits. Each component piece can be replaced or rearranged, extending the life of clothes and reducing waste. The tool generates design outlines that can be passed to makers or sewing enthusiasts.

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New method teaches AI models to find personalized objects

By MIT News |

Summary: MIT researchers have developed a training method that enables vision-language AI models to recognize and locate specific personalized objects (like “my cat”). By using example images and text prompts, models learn to identify a given unique item in new scenes. This enhancement helps generative AI better distinguish personal items, improving performance in personalized applications such as robotics or augmented reality.

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AI and neuroscience for mental health innovations

By MIT News |

Summary: Media Lab PhD student Kimaya Lecamwasam is exploring how music and artificial intelligence can promote mental well-being. Her research combines neuroscience and AI to create new therapeutic music tools. By studying how music affects the brain and using AI to personalize musical interventions, she aims to develop innovative ways to support mental health.

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AI algorithm could optimize food subsidies for nutrition

By MIT News |

Summary: MIT economist Ali Aouad has developed a digital platform using AI to help governments design better food assistance programs. By analyzing diets and nutrient needs, the algorithm suggests optimal subsidy combos (e.g., which foods to subsidize) to maximize nutrition for low-income populations. Early results show such tools could transform food policy in developing countries by automating complex policy design for better health outcomes.

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SpectroGen acts as virtual spectrometer using AI

By MIT News |

Summary: A MIT-led team has created SpectroGen, an AI tool that generates synthetic spectroscopy data (e.g., X-ray or infrared spectra) for materials. It functions like a “virtual spectrometer,” allowing researchers to quickly assess material quality and composition without physical instruments. By training on real spectral measurements, SpectroGen can predict how any sample would look under different spectral techniques, speeding up materials research.

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Watershed Bio: AI for lab experiments without coding

By MIT News |

Summary: MIT alumni have co-founded Watershed Bio, a platform that lets biologists run complex data analyses without writing code. Users can upload large-scale biological datasets and use AI-driven workflows to process them, accelerating research. The tool addresses the growing need for data analysis in biology, making advanced computational approaches accessible to scientists without programming backgrounds.

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Ray Kurzweil “70” bullish on future tech progress

By MIT News |

Summary: Futurist Ray Kurzweil ’70, speaking at MIT, reinforced his optimism about technological progress. After receiving an award, he predicted breakthroughs in artificial intelligence, longevity and other fields. Kurzweil argued for a bright future driven by tech innovations, echoing his long-standing belief in accelerating change.

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MIT and Abu Dhabi AI Institute to collaborate

By MIT News |

Summary: The MIT Schwarzman College of Computing has announced a collaborative research program with the Mohamed bin Zayed University of AI (MBZUAI) in Abu Dhabi. The partnership will bring together faculty and students from both institutions to advance AI research and development, particularly on projects addressing global scientific and societal challenges.

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AI diversifies virtual robot training environments

By MIT News |

Summary: MIT’s Computer Science and AI Lab (CSAIL) has developed a tool that uses generative AI to create varied virtual environments (kitchens, living rooms, etc.) for training robots. By rapidly generating realistic simulation scenes with real-world objects, the system greatly expands the range of training data. This helps train robot “foundation models” more efficiently by exposing them to diverse settings and layouts.

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AI prediction model aims to improve fusion plant reliability

By MIT News |

Summary: MIT researchers have created a predictive model that combines physics and machine learning to detect and prevent dangerous disruptions in tokamak fusion reactors. The hybrid AI model learns from both experimental data and physics simulations to forecast instabilities, allowing operators to take corrective action before shutdown. This approach could improve the reliability and safety of fusion energy experiments.

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