Malaysia has launched its home-grown multimodal artificial intelligence (AI) model, 'ILMU', a large language model trained on local data and culture. Developed by YTL AI Labs in partnership with Universiti Malaya, ILMU is designed to understand the country's context and daily realities. The name ILMU stands for Intelek Luhur Malaysia Untukmu, reflecting its core values of context-aware intelligence, ethical foundations, cultural fluency, and serving all Malaysians. ILMU has achieved high scores in language understanding tests, including Bahasa Melayu, and will be available for early access on Malaysia Day, September 16, 2025.
OneStream, Inc., a leading enterprise Finance management platform, is set to present at two upcoming investor conferences. On September 4, the company will speak at Citi's Global TMT Conference in New York, NY, and on September 10, it will present at Goldman Sachs Communacopia + Technology Conference in San Francisco, CA.
OpenAI has secured a $1 deal with the US government, covering ChatGPT Enterprise for the executive branch, offering unlimited access to advanced features and training sessions. This comes after the General Services Administration approved Anthropic, OpenAI, and Google as AI vendors, streamlining federal contracting. The Department of Defense's Chief Digital and Artificial Intelligence Office has awarded contracts of up to $200 million each to these companies, including xAI, to apply AI to national security challenges.
Qubrid Unveils No-Code AI Platform for Secure Data Extraction
8.12.25
Qubrid AI has launched its 2-Step No-Code Multimodal Retrieval-Augmented Generation (RAG) as a Service, a revolutionary platform that enables businesses and researchers to extract intelligence from their own data instantly and securely without coding. The service allows users to chat directly with their data, handle multimodal inputs, and deliver source-backed answers. CEO Pranay Prakash calls it the "future of AI interaction," citing its ability to handle proprietary files, verify answers, and combine multiple data types in one conversation.
ScanTech AI Eyes Revenue Growth Despite Risks Ahead
8.12.25
ScanTech AI's management team expects significant revenue growth and financial performance in the future, with plans to expand its product offerings and services. The company's forward-looking statements are based on current expectations and beliefs, but there is no assurance that actual results will meet projections due to risks such as regulatory oversight, research and development success, and capital availability.
Simon Property Group, Inc. is cautious about its future expectations due to various risks and uncertainties in the retail industry. The company faces intense competition from e-commerce, making it challenging to renew leases and relet vacant space at existing properties on favorable terms. Additionally, the risk of tenant bankruptcy or insolvency, loss of anchor stores or major tenants, and economic downturns caused by inflation, tariffs, recessionary pressures, wars, and supply chain disruptions could negatively impact its operations. The company also faces risks related to security breaches, changes in market interest rates, international activities, and environmental liabilities, among others.
Southeast Asia Sees Job Growth Amidst Automation Rise
8.12.25
The adoption of robots and AI has boosted job creation in Southeast Asia, with technology creating 600,000 new jobs in the last five years and 2 million skilled jobs between 2018 and 2022. Despite concerns about automation, the integration of industrial robots and AI has driven job growth, particularly in manufacturing processes. The World Bank projects a regional growth of 4.8% in 2024 and 4.4% in 2025, with China seeing a decline but other countries like Indonesia maintaining or surpassing pre-pandemic levels.
Tesla's AI computing infrastructure plans rely heavily on outside technology suppliers, including Nvidia and AMD for computing capabilities, and Samsung Electronics for chip production. The company has secured a $16.5 billion deal with Samsung to supply AI chips, which are expected to power autonomous vehicles, humanoid robots, and data centers. Tesla's new chip roadmap is expected to support its ambitions, but the company's AI trajectory will depend on whether its new chips can deliver results as promised.
US Military Plays Catch-up with Drone Countermeasures
8.12.25
The US military is playing catch-up with advancements in drone technology, which are being driven by AI and machine learning. The development of counter-drone capabilities is a growing need, particularly for protecting forces and critical assets on battlefields and beyond. This is evident in the addition of armor protection to Ukrainian Abrams tanks, highlighting the importance of countering drones in conflicts like the one in Ukraine.