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AI chip stocks in Asia fell despite continued investment in AI infrastructure. AI spending is also driving data-centre and power demand across Asia. Asian semiconductor and technology stocks fell on Monday after Anthropic CEO Dario Amodei called for companies developing advanced artificial intelligence models to slow the pace of capability improvements. OpenAI CEO Sam […] The post AI slowdown debate raises questions for Asia’s chip industry appeared first on TechWire Asia .

[Search](https://www.businesstimes.com.sg/search) [](https://www.businesstimes.com.sg/global?ref=logo "The Business Times")  [Subscribe](https://subscribe.sph.com.sg/btpe-mthlyprepaid/?utm_campaign=btp99&utm_medium=sph-publication&utm_source=bt&utm_content=subscribebutton-header) # Micron Taiwan union presses profit-sharing demand, keeps strike preparations alive Labour action could amplify supply concerns in an already tight memory chip market [Summarise](https://www.businesstimes.com.sg/pulse/article/9678505?ref=pulse-article-top)![Image 3: share icon](blob:http://localhost/2a264bcbe362008e285b1a862b25de

AI coding tools can now generate thousands of lines of code in minutes, helping companies build features, run tests, and fix issues faster. But the flood of AI-generated code still has to be reviewed. Large language models can produce code that looks clean on the surface but conceals sloppy mistakes such as faulty assumptions, security vulnerabilities, or subtle errors that emerge only after deployment. Fixing those problems could erase the productivity gains AI promises. Companies are responding to the onslaught of AI code slop by rethinking how they review code. New strategies are emerging. Among other approaches, engineers are scrutinizing plans before AI begins coding, deploying specialized AI agents to catch routine flaws, sending risky changes to human reviewers, or requiring develop

DNA is often explained as a codebook or set of instructions for producing proteins, and ultimately, life. Some stretches of DNA, called genes, code for proteins, but the vast majority of DNA is considered “noncoding.” Some of it has no known function, while other segments are critical to regulating gene activity. These regulatory elements can interact in complicated ways, and their effects can vary across different cells and tissues. Some also influence genes located far away in the genome. Understanding how changes in DNA affect this regulation “is fundamental to understanding most disease,” says Carl de Boer , a genomicist at the University of British Columbia. That’s why researchers are working to understand what every imaginable small variation in human DNA across the entire genome mig

This article is brought to you by Ollobot . From about 2017, individuals began to truly connect with the initial wave of companion robots. These devices had personality, moved around, joked, and answered when you spoke to them. Most early companion robots, however, were still limited by simple voice-command interactions and narrow functionality. Once the novelty wore off, many ended up sitting unused on shelves. As some of those companies went out of business and turned off their servers, many owners likened it to losing a pet. What Ollobot describes as “gentle intelligence” is a useful way to think about where the serious work in this category is going. Not toward more powerful assistants, but toward more present ones. The problem companion robots were trying to solve Loneliness is not a

Lance Whitney/ZDNET ### ZDNET’s key takeaways * Apple has launched new OS 27 versions for the iPhone and other products. * Also released were 26.7 versions for the iPhone, iPad, and Mac. * Both OS versions add new features and a host of security patches. * * * Monday was a busy update day for Apple. Not only did the company roll out iOS 27, but it also pushed out an update to iOS 26 for users sticking with the old OS. **Also: [I put Siri AI through the same tests I use for ChatGPT and Gemini on MacOS 27 – here’s how it did](https://www.zdnet.com/article/new-siri-ai-apple-intelligence-test-on-mac/)** After months of beta testing, [iOS 27](https://www.zdnet.com/business/ios-27-release-date-new-ip

Update on Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original. Coverage via HuggingFace Blog.

 Cisco / Matt Caulfield Agentic AI promises to transform business strategy from the ground up. But it also poses a serious challenge to IT leaders. You don’t want to slow your teams down in experimenting with autonomous agents and miss a competitive window for productivity and revenue gains. At the same time, you’re navigating a technology that evolves from week to week and, at a scale many can’t even fathom, could be putting your systems at risk. “Somewhere in your environment right now, an AI agent is almost certainly operating without a proper identity, a defined owner, or any meaningful access controls,” Cisco VP of Pr

Update on BenchMIRT: What are LLM benchmarks actually measuring?. Coverage via HuggingFace Blog.

Update on Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI. Coverage via HuggingFace Blog.

Sep 15, 2026 | Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are our most advanced live dialogue models yet. Major upgrades in intelligence and parallel reasoning make them more intuitive to collaborate with and use to execute complex tasks using your voice. * * * Tom Ouyang Principal Engineer Malini Jaganathan Member of Technical Staff, on behalf of the Gemini Audio Team * * *  [Audio 3](https://storage.googleapis.com/gweb-uniblog-publish-prod/media/tts_audio_86234_umbriel_2026_09_17_15_00_48.mp3) Listen to article [[duration]]

Sep 01, 2026 | Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. * * * Rohan Doshi Senior Product Manager, Google DeepMind Mario Lučić Research Director, Google DeepMind * * *  [Audio 3](https://storage.googleapis.com/gweb-uniblog-publish-prod/media/tts_audio_86108_umbriel_2026_09_01_17_44_39.mp3) Listen to article [[duration]] minutes This content is generated by Google AI. Generative AI is experimental Today, we’re launching [agentic video understanding](https://ai.google.dev/

September 8, 2026 Science AlphaGenome Atlas team How predicting the molecular impact of every possible single-letter DNA variant in the human genome will help accelerate our understanding of biology. Today, we are introducing AlphaGenome Atlas: a platform ([detailed in our paper](https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/alphagenome-atlas.pdf)) containing predictions for the effects of **9 billion single-nucleotide variants — every single-letter change possible — in the human genome.** It is the most comprehensive catalogue of how genetic mutations affect molecular biology, and it is available for academic research through an intuitive and free-to-use [website portal](https://al