Author: Advanced AI Editor

Detecting the ripples in spacetime known as gravitational waves from deep within the universe has now seen the application of AI.The Deep Loop Shaping technology developed in collaboration by Google DeepMind, the LIGO (Laser Interferometer Gravitational-Wave Observatory) team, and GSSI (Gran Sasso Science Institute) has significantly enhanced the low-frequency noise reduction capabilities of gravitational wave detection.This research has now been published in Science.Professors Rainer Weiss, Kip Stephen Thorne, and Barry Clark Barish of the LIGO team previously won the Nobel Prize in Physics in 2017 for their detection of gravitational waves using the LIGO detectors.However, the field of gravitational wave…

Emily Fontaine engages with VC firms, startups, and portfolio companies every day, she told Business Insider, and she knows what she wants from them.As IBM’s global head of venture capital, Fontaine leads IBM Ventures, which partners with companies working on everything from quantum computing to artificial intelligence to cybersecurity. She said she wants to connect with 800 startups worldwide this year.”We’ve got a really good formula for that,” Fontaine said on how she decides whether to invest. “Our mission is super clear: accelerate enterprise innovation with emerging technologies that are delivering real business value.”Fontaine said she evaluates investments based on…

OpenAI inks monumental $300 billion cloud deal with OracleOne of the largest cloud contracts in history has been signed between OpenAI and Oracle. The American artificial intelligence (AI) company has signed a staggering $300 billion agreement with Oracle, underscoring ever-increasing computational demands of the artificial intelligence industry. The highly significant deal will last for five years, starting in 2027, and is a core component of the ambitious “Stargate” AI infrastructure project. The deal initially reported by The Wall Street Journal, will involve OpenAI purchasing large quantities of compute on the Oracle cloud platform. To buttress this, the companies intend to construct new…

AI is also playing a role in detecting the ripples in spacetime called gravitational waves.The Deep Loop Shapingtechnology, developed in collaboration with Google DeepMind, the LIGO (Laser Interferometer Gravitational-Wave Observatory) team, and GSSI (Gran Sasso Science Institute), has taken the low-frequency noise reductioncapability in gravitational wave detection to new heights.This research has now been published in Science.Professors Rainer Weiss, Kip Stephen Thorne, and Barry Clark Barish from the LIGO team previously won the Nobel Prize in Physics in 2017for their work with the LIGO detector and gravitational wave observations.However, the field of gravitational wave detection has been stuck on the…

Too Long; Didn’t Read:AI tools for Qatar customer service in 2025 deliver multilingual Arabic‑first support, 24/7 WhatsApp coverage and measurable gains: up to 80% ticket deflection (Freddy), >70% automation (Ada), Zendesk saves ~60 seconds per ticket, Yuma processed 150K tickets in Dec 2024. Customer service teams in Qatar face rising expectations for instant, personalized, multilingual support, and 2025’s generative and agentic AI tools answer that call: they summarize past interactions, suggest replies, flag follow-ups and even trigger workflows to resolve common issues (see IBM’s look at the future of AI in customer service). Research from Forrester and WIZ.AI shows these…

Too Long; Didn’t Read:Top 5 AI prompts for Thai customer service in 2025: clear, channel-aware templates for LINE, WhatsApp and webchat that boost CSAT, resolution time and SLA adherence. Pilot new prompts with 10–20% traffic, iterate via A/B tests; 15-week training available. For Thai customer service in 2025, good AI starts with better prompts: clear, specific, and context-aware inputs that stop chatbots from guessing and keep Thai-language, channel-aware replies on-brand – exactly the kind of discipline HubSpot guide to AI chatbots recommends when you “train your AI chatbot with company knowledge” to avoid invented answers (HubSpot guide to AI chatbots).…

The Tencent Hunyuan team presented a compelling research achievement at the 2025 ICML conference, revealing the profound impact of floating-point precision on AI model training effectiveness. This research not only brings new breakthroughs to the training efficiency of AI models but also provides significant references for hardware design and optimization of AI applications. The findings were published in a paper numbered arXiv:2501.02423v3, which interested readers can explore in depth. Floating Point Precision Optimization: The ‘Golden Ratio’ of AI Training The core of the research lies in exploring how to find the optimal precision configuration in floating-point quantization trainingto reduce computational…

Oracle Corporation ORCL has lately emerged as the most sought-after stock following its multi-billion-dollar contracts with prominent artificial intelligence (AI) companies. Led by Larry Ellison, Oracle expects revenues to surge in the coming years, with its stock up 90% this year, outperforming the Wall Street darling NVIDIA Corporation’s NVDA 48.7% gain. Does this mean Oracle is a better buy than NVIDIA now? Let’s analyze – Oracle’s fiscal 2026 first-quarter net income was essentially unchanged from the year-ago levels, but its revenues of $14.9 billion were up 11% year over year. However, what stands out is Oracle’s incredible backlog. In the…

IBM has quietly built a strong presence in the open-source AI ecosystem, and its latest release shows why it shouldn’t be overlooked. The company has introduced two new embedding models—granite-embedding-english-r2 and granite-embedding-small-english-r2—designed specifically for high-performance retrieval and RAG (retrieval-augmented generation) systems. These models are not only compact and efficient but also licensed under Apache 2.0, making them ready for commercial deployment. What Models Did IBM Release? The two models target different compute budgets. The larger granite-embedding-english-r2 has 149 million parameters with an embedding size of 768, built on a 22-layer ModernBERT encoder. Its smaller counterpart, granite-embedding-small-english-r2, comes in at just…

Key Takeaways QBTS Advantage2 boosts qubit coherence, energy and connectivity.QBTS adoption is strong with 1,300 Leap Quantum LaunchPad applicants.Analysts project 37.5% near-term price upside for D-Wave Quantum. In the second quarter of 2025, D-Wave Quantum (QBTS Quick QuoteQBTS – Free Report) reached a key milestone with the launch of its Advantage2 quantum computer, the company’s latest annealing system. Designed to tackle complex problems in optimization, material simulation and artificial intelligence, the Advantage2 processor delivers significant performance improvements over its predecessor, including double the qubit coherence time, a 40% increase in energy scale, and expanded connectivity from 15-way to 20-way. Further,…