Singapore AI News & Daily Briefing

Moonshot AI’s Kimi K3 targets US$2B in annualised revenue. Kimi K3 mixes open weights with commercial monetisation. Chinese AI company Moonshot AI is targeting US$2 billion in annualised revenue by the end of 2026, putting new figures behind the commercial growth of its open-weight Kimi models. The company told investors that annual recurring revenue […] The post Moonshot’s Kimi growth tests the business case for open-weight AI appeared first on TechWire Asia .

Many researchers and students in Kenya, Rwanda, and Uganda struggle to access and publish scientific and technical articles because of financial barriers including publishing fees and subscriptions to research libraries. To help, IEEE has made its Xplore Digital Library more accessible by offering discounts on subscriptions and lowering fees to publish articles. But the number of papers published by technologists in the three nations still lags behind those from other developing countries. It might be that many researchers haven’t received training in methodology, been instructed on how to write academic articles, or fully understand the process for publishing in scientific journals. Staff from the IEEE Publication and Information Products group and IEEE volunteers held educational worksho

On 25 August, OpenAI fully unveiled Jalapeño, the company’s debut AI accelerator chip. Jalapeño delivers up to 13.4 petaflops of 4-bit compute and accesses 232 gigabytes of the most advanced memory available, linking to it at a blazing 15.4 terabytes per second. Benchmarks cited by OpenAI show that Jalapeño can reduce end-to-end latency (the time between prompt to last token) by up to 3.6 times when compared to Nvidia’s GB300 —a chip the company currently relies on—and do so while consuming less power. Whether these figures translate into real-world gains once Jalapeño enters widespread service in OpenAI’s inference fleet remains to be seen, but performance is only half the story. The other half is how the chip was designed—a process which, as you might expect, was accelerated by OpenAI’s

Maybe you heard about the AI-controlled vending machine that stocked underwear and live fish . Or the AI manager of a San Francisco store that fired a human employee . Or the AI radio DJ that said its catchphrase , “Stay in the manifest,” 229 times per day. These incidents all emerged from experiments run by Andon Labs , an AI safety company based in San Francisco that puts AI agents in charge of real-world operations and watches what happens. These operations double as testbeds for Andon’s commercial work developing evaluations and conducting research with the leading frontier AI labs. Their spectacular and absurd failures have won the company plenty of attention. But many people don’t realize that the experiments are intended to answer a serious question: How much real-world responsibili

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. The idea of letting a machine do the driving for you may put a lot of people off autonomous vehicles . But research could make it possible to backseat-drive an autonomous vehicle just as you might with a human driver. Self-driving cars carefully balance a host of parameters to ensure a smooth ride, including things like speed, acceleration, and the smoothness of turns. But human driving preferences can often vary depending on how much of a rush they’re in, whether they’re feeling carsick, or how busy the traffic is. These cars have a software component called the motion planner, which is responsible for choosing a safe and efficient path through traffic. The motion planner is normally tuned by

AI-powered cameras dot streets across the world, equipped with the power to identify faces or vehicle license plates . But a public backlash is gaining momentum . Privacy concerns abound, encompassing the lack of consent for capturing data, how that data is stored and used , and the risk of misuse . Those concerns are motivating people to fight back. The DeFlock project, for instance, maps automated license plate readers (ALPRs) to raise awareness. Some people resort to extreme measures , such as vandalizing or damaging ALPRs. Others are stitching together more creative responses, crafting “adversarial fashion” to evade surveillance cameras, like a Kickstarter project called noRecognition , presented at last month’s DEF CON hacker convention . Scrambling surveillance In 2025, cybersecurity

For many professionals, work means keeping track of conversations and commitments across inboxes, meetings, messages, and apps. Without rock-solid context, those commitments can fall through the cracks, damaging projects and relationships. Fyxer built an AI executive assistant that follows the thread as work moves across tools. It combines the latest OpenAI models with more than 500,000 hours of executive assistant workflows, dividing the work among dozens of specialized models that improve through real user feedback. Email is one of the clearest places to see it in action. Two people can receive the same email and need completely different replies depending on the relationship, what has happened before, and what each person is trying to get done. That makes a seemingly simple task decepti

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assalve/E+/Getty Images ### ZDNET’s key takeaways * Two Swiss government groups are moving from Microsoft 365 to openDesk. * The Swiss Federal Chancellery and Swiss Armed Forces are moving at different paces. * It’s mostly about protecting Swiss data from American snoopers. * * * Switzerland’s federal government is moving to create an open-source, digitally sovereign workplace for thousands of employees, while the Swiss Armed Forces’ Cyber Command is moving much faster to replace Microsoft 365, especially for sensitive work. They’re joining numerous other European government agencies, such as those in[Austria](https://www.zdnet.com/article/another-european-agency-ditches-big-tech-as-digital-sovereignty-movement-gains-steam/), [France](https://www.zdnet.com/article/france-leaves-windows-for

This interactive webinar will introduce the different types of AI, address the concerns with AI, share how we IBM are approaching Responsible AI, and offer guidance to students about what they can do - as individuals, and members of their IEEE chapters. Participants will also have the opportunity to to apply the Responsible AI approach to a particular use case - IBM Bob, a software development life cycle agent, and Q&A. This will be an interactive session, so have phones ready to engage! Register now for this free webinar!

The September Patch Tuesday update is causing audio problems with certain USB devices, but you may be able to resolve it yourself.

Your older iPhone just got free satellite service for another year – here’s why. This isn’t the first time that Apple has extended the free two-year trial.

This White Paper gives data engineers and architects a practical overview of how parallel partitioned reads, write-path optimization, and cloud-native bulk loading reduce large-table replication times, and why replication speed has become a business concern as data volumes grow. Download this free whitepaper now!