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Latest AI News
- Machine learning for atomic-scale simulations: balancing speed and physical laws
- Gemini Enterprise: Google aims to put an AI agent on every desk
- Policy design for two-sided platforms with participation dynamics: Interview with Haruka Kiyohara
- Can Cisco’s new AI data centre router tackle the industry’s biggest infrastructure bottleneck?
- AI value remains elusive despite soaring investment
- Samsung’s tiny AI model beats giant reasoning LLMs
- Tuned Global strengthens its leadership in music technology with the acquisition of Figaro.ai
- The Machine Ethics podcast: What excites you about AI? Vol.2
- AI Redaction That Puts Privacy First: CaseGuard Studio Leading The Way
- How AI is changing the way we travel
- Interview with Janice Anta Zebaze: using AI to address energy supply challenges
- Google’s new AI agent rewrites code to automate vulnerability fixes
- How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard
- 5 best AI observability tools in 2025
- Vibe Marketing: Hype, Reality, and Real Case Studies
- Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors
- Diffusion beats autoregressive in data-constrained settings
- China Mobile Shanghai launches industry-first 5G-A network monetisation strategy with Huawei
- ChatGPT Shopping: How to Get AI to Recommend Your Products
- Audience Research: How to Know What Your Buyers Really Want
- Forthcoming machine learning and AI seminars: October 2025 edition
- AI causes reduction in users’ brain activity – MIT
- The 5 best AI AppSec tools in 2025
- Why AI phishing detection will define cybersecurity in 2026
- Google: EU’s AI adoption lags China amid regulatory hurdles
- AIhub monthly digest: September 2025 – conference reviewing, soccer ball detection, and memory traces
- The value gap from AI investments is widening dangerously fast
- The rise of algorithmic agriculture? AI steps in
- Inside Huawei’s Shanghai acoustics lab: Where automotive sound engineering meets science
- Rising AI demands push Asia Pacific data centres to adapt, says Vertiv
Artificial Intelligence Products, Services, and Examples
- Gemini Enterprise: Google aims to put an AI agent on every desk
- Can Cisco’s new AI data centre router tackle the industry’s biggest infrastructure bottleneck?
- AI value remains elusive despite soaring investment
- Samsung’s tiny AI model beats giant reasoning LLMs
- Tuned Global strengthens its leadership in music technology with the acquisition of Figaro.ai
- AI Redaction That Puts Privacy First: CaseGuard Studio Leading The Way
- How AI is changing the way we travel
- Google’s new AI agent rewrites code to automate vulnerability fixes
- 5 best AI observability tools in 2025
- China Mobile Shanghai launches industry-first 5G-A network monetisation strategy with Huawei
- AI causes reduction in users’ brain activity – MIT
- The 5 best AI AppSec tools in 2025
- Why AI phishing detection will define cybersecurity in 2026
- Google: EU’s AI adoption lags China amid regulatory hurdles
- The value gap from AI investments is widening dangerously fast
- The rise of algorithmic agriculture? AI steps in
- Inside Huawei’s Shanghai acoustics lab: Where automotive sound engineering meets science
- Rising AI demands push Asia Pacific data centres to adapt, says Vertiv
- Reply’s pre-built AI apps aim to fast-track AI adoption
- Huawei details open-source AI development roadmap at Huawei Connect 2025
- CAMIA privacy attack reveals what AI models memorise
- Ethical cybersecurity practice reshapes enterprise security in 2025
- Samsung benchmarks real productivity of enterprise AI models
- Inside Huawei’s plan to make thousands of AI chips think like one computer
- Generative AI in retail: Adoption comes at high security cost
- OpenAI and Nvidia plan $100B chip deal for AI future
- Governing the age of agentic AI: Balancing autonomy and accountability
- Martin Frederik, Snowflake: Data quality is key to AI-driven growth
- Public trust deficit is a major hurdle for AI growth
- How BMC can be the ‘orchestrator of orchestrators’ for enterprise agentic AI
AI-Enhanced SEO News
- Vibe Marketing: Hype, Reality, and Real Case Studies
- ChatGPT Shopping: How to Get AI to Recommend Your Products
- Audience Research: How to Know What Your Buyers Really Want
- Reddit Marketing in 3 Hours/Week: From 0 Karma to Real Cred
- SEO and PPC: 8 Smart Ways to Align for Maximum ROI in 2025
- Answer Engine Optimization (AEO): How to Win in AI Search
AI Trends
- Machine learning for atomic-scale simulations: balancing speed and physical laws
- Policy design for two-sided platforms with participation dynamics: Interview with Haruka Kiyohara
- The Machine Ethics podcast: What excites you about AI? Vol.2
- Interview with Janice Anta Zebaze: using AI to address energy supply challenges
- How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard
- Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors
- Diffusion beats autoregressive in data-constrained settings
- Forthcoming machine learning and AI seminars: October 2025 edition
- AIhub monthly digest: September 2025 – conference reviewing, soccer ball detection, and memory traces
- Botanical time machines: AI is unlocking a treasure trove of data held in herbarium collections
- All creatures, great, small, and artificial
- RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura
- Data centers consume massive amounts of water – companies rarely tell the public exactly how much
- Interview with Luc De Raedt: talking probabilistic logic, neurosymbolic AI, and explainability
- Call for AAAI educational AI videos
- Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award
- How AI is opening the playbook on sports analytics
- Discrete flow matching framework for graph generation
- We risk a deluge of AI-written ‘science’ pushing corporate interests – here’s what to do about it
- Deploying agentic AI: what worked, what broke, and what we learned