AI Research
Indonesia on Track to Achieve Sovereign AI Goals With NVIDIA, Cisco and IOH
As one of the world’s largest emerging markets, Indonesia is making strides toward its “Golden 2045 Vision” — an initiative tapping digital technologies and bringing together government, enterprises, startups and higher education to enhance productivity, efficiency and innovation across industries.
Building out the nation’s AI infrastructure is a crucial part of this plan.
That’s why Indonesian telecommunications leader Indosat Ooredoo Hutchison, aka Indosat or IOH, has partnered with Cisco and NVIDIA to support the establishment of Indonesia’s AI Center of Excellence (CoE). Led by the Ministry of Communications and Digital Affairs, called Komdigi, the CoE aims to advance secure technologies, cultivate local talent and foster innovation through collaboration with startups.
Indosat Ooredoo Hutchison President Director and CEO Vikram Sinha, Cisco Chair and CEO Chuck Robbins and NVIDIA Senior Vice President of Telecom Ronnie Vasishta today detailed the purpose and potential of the CoE during a fireside chat at Indonesia AI Day, a conference focused on how artificial intelligence can fuel the nation’s digital independence and economic growth.
As part of the CoE, a new NVIDIA AI Technology Center will offer research support, NVIDIA Inception program benefits for eligible startups, and NVIDIA Deep Learning Institute training and certification to upskill local talent.
“With the support of global partners, we’re accelerating Indonesia’s path to economic growth by ensuring Indonesians are not just users of AI, but creators and innovators,” Sinha added.
“The AI era demands fundamental architectural shifts and a workforce with digital skills to thrive,” Robbins said. “Together with Indosat, NVIDIA and Komdigi, Cisco will securely power the AI Center of Excellence — enabling innovation and skills development, and accelerating Indonesia’s growth.”
“Democratizing AI is more important than ever,” Vasishta added. “Through the new NVIDIA AI Technology Center, we’re helping Indonesia build a sustainable AI ecosystem that can serve as a model for nations looking to harness AI for innovation and economic growth.”
Making AI More Accessible
The Indonesia AI CoE will comprise an AI factory that features full-stack NVIDIA AI infrastructure — including NVIDIA Blackwell GPUs, NVIDIA Cloud Partner reference architectures and NVIDIA AI Enterprise software — as well as an intelligent security system powered by Cisco.
Called the Sovereign Security Operations Center Cloud Platform, the Cisco-powered system combines AI-based threat detection, localized data control and managed security services for the AI factory.
Building on the sovereign AI initiatives Indonesia’s technology leaders announced with NVIDIA last year, the CoE will bolster the nation’s AI strategy through four core pillars:
Some 28 independent software vendors and startups are already using IOH’s NVIDIA-powered AI infrastructure to develop cutting-edge technologies that can speed and ease workflows across higher education and research, food security, bureaucratic reform, smart cities and mobility, and healthcare.
With Indosat’s coverage across the archipelago, the company can reach hundreds of millions of Bahasa Indonesian speakers with its large language model (LLM)-powered applications.
For example, using Indosat’s Sahabat-AI collection of Bahasa Indonesian LLMs, the Indonesia government and Hippocratic AI are collaborating to develop an AI agent system that provides preventative outreach capabilities, such as helping women subscribers over the age of 50 schedule a mammogram. This can help prevent or combat breast cancer and other health complications across the population.
Separately, Sahabat-AI also enables Indosat’s AI chatbot to answer queries in the Indonesian language for various citizen and resident services. A person could ask about processes for updating their national identification card, as well as about tax rates, payment procedures, deductions and more.
In addition, a government-led forum is developing trustworthy AI frameworks tailored to Indonesian values for the safe, responsible development of artificial intelligence and related policies.
Looking forward, Indosat and NVIDIA plan to deploy AI-RAN technologies that can reach even broader audiences using AI over wireless networks.
Learn more about NVIDIA-powered AI infrastructure for telcos.
AI Research
Indiana University Researchers Develop AI Method to Reduce 18-Month Wait Times for Autism and ADHD Diagnoses – geneonline.com
AI Research
Mystery interstellar object could be the oldest known comet
A mystery interstellar object spotted last week by astronomers could be the oldest comet ever seen, according to scientists.
Named 3I/Atlas, it may be three billion years older than our own solar system, suggests the team from Oxford university.
It is only the third time we have detected an object that has come from beyond our solar system.
The preliminary findings were presented on Friday at the national meeting of the UK’s Royal Astronomical Society in Durham.
“We’re all very excited by 3I/Atlas,” University of Oxford astronomer Matthew Hopkins told BBC News. He had just finished his PhD studies when the object was discovered.
He says it could be more than seven billion years old, and it may be the most remarkable interstellar visitor yet.
3I/Atlas was first spotted on 1 July 2025 by the ATLAS survey telescope in Chile, when it was about 670 million km from the Sun.
Since then astronomers around the world have been racing to identify its path and discover more details about it.
Mr Hopkins believes it originated in the Milky Way’s ‘thick disk’. This is a group of ancient stars that orbit above and below the area where the Sun and most stars are located.
The team believe that because 3I/ATLAS probably formed around an old star, it is made up of a lot of water ice.
That means that as it approaches the Sun later this year, the energy from the Sun will heat the object’s surface, leading to blazes of vapour and dust.
That could create a glowing tail.
The researchers made their findings using a model developed by Mr Hopkins.
“This is an object from a part of the galaxy we’ve never seen up close before,” said Professor Chris Lintott, co-author of the study.
“We think there’s a two-thirds chance this comet is older than the solar system, and that it’s been drifting through interstellar space ever since.”
Later this year, 3I/ATLAS should be visible from Earth using amateur telescopes.
Before 3I/Atlas soared into view, just two others had been seen. One was called 1I/’Oumuamua, found in 2017 and another called 2I/Borisov, discovered in 2019.
Astronomers globally are currently gearing up to start using a new, very powerful telescope in Chile, called the Vera C Rubin.
When it starts fully surveying the southern night sky later this year, scientists expect that it could discover between 5 and 50 new interstellar objects.
AI Research
Thinking of Buying C3.ai Stock? Here Are 2 Red Flags to Consider.
C3.ai (NYSE: AI) is one of the most talked-about artificial intelligence (AI) stocks on the market today. With a platform purpose-built for enterprise customers, early traction in generative AI, and expanding partnerships with cloud and consulting giants, the company checks many of the right boxes for investors looking to gain exposure to the AI megatrend.
However, before getting swept up in the narrative, it’s worth pausing to look beneath the surface. While the company is making the right strategic moves, it’s still early — and the numbers reveal a business that has a lot more to prove.
This article will cover two red flags to keep in mind.
C3.ai has carved out a unique position as a pure-play enterprise AI platform company. It doesn’t build flashy consumer chatbots. Instead, it helps large organizations deploy AI across real-world operations — from supply chains to energy grids to battlefield logistics.
Using the C3 Agentic AI Platform, a company can quickly develop and implement AI in its operations or leverage C3 AI Applications for prebuilt applications in sectors like energy, defense, and manufacturing. Later on, enterprises can deploy C3 Generative AI to create AI agents.
By focusing on prebuilt agents and vertical-specific tools, C3.ai aims to simplify deployment and shorten the time from pilot to production. Moreover, it’s moving toward a consumption-based pricing model, allowing customers to start small and scale their usage over time — a shift that aligns incentives and could smooth out the adoption process.
In short, there’s a solid case for optimism about C3.ai’s long-term potential, especially as large enterprises’ adoption of AI picks up.
Like most growth companies, C3.ai incurs significant cash expenditures as it invests in platform development and customer acquisition. The company has been unprofitable since its inception in 2009, with accumulated losses totaling $1.4 billion as of April 30, 2025.
That’s despite years of riding a major AI tailwind. It guided for non-GAAP (adjusted) loss from operations to be around $100 million in fiscal year 26, ending April 30, 2026. While it ended the year with $743 million in cash and equivalents, that cushion could shrink quickly if the current pace of losses continues.
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