Tech News

AI Developments: MIT Research, Military AI, and Market Shifts This week in AI and Machine Learning, MIT introduced a new AI system designed to accelerate clinical research, while a U.S. Air Force experiment demonstrated AI’s superior speed in battle planning. In the financial sector, new machine learning frameworks are emerging for improved risk management. However, reports also highlight the growing threat of AI-powered cyberattacks and the significant impact of AI on the workforce, evidenced by major layoffs at Accenture. On the hardware front, Huawei is emphasizing the critical integration of 5G-A and AI for the next generation of mobile technology. ...

UK Secures Billions in AI Investment from Microsoft, Nvidia, and Google The United Kingdom’s artificial intelligence sector is poised for substantial growth, fueled by a major wave of investment from leading US tech giants. Under a new “Tech Prosperity Deal,” Microsoft is committing $30 billion over four years to expand the UK’s cloud and AI infrastructure. Nvidia will contribute up to $15 billion, including the creation of AI factories equipped with 120,000 of its “Blackwell Ultra” B300 GPUs. Google has also pledged a £5 billion investment, which will feature a new data center. These strategic investments aim to enhance the UK’s sovereign AI capabilities, enabling the nation to develop and deploy its own AI models using domestic infrastructure and data. A significant portion of this new capacity will support OpenAI’s Stargate UK project, which is dedicated to building AI models tailored for British sectors like healthcare and education. ...

BRICS Urban Future Forum in Moscow Centers on AI and Robotics The third BRICS Urban Future Forum, held in Moscow on September 17-18, is focusing on the role of robotic technologies and artificial intelligence in urban transformation. The event brings together government officials, business leaders, and technology experts from over 35 countries to discuss strategies for the development of megacities through 2040. A key theme is the increasing importance of robotics, automation, and AI as primary drivers for changes in production and social systems within large urban environments. The forum serves as a platform for international collaboration on building the cities of the future. ...

Equifax Launches AI Innovation Lab in Ireland for Global R&D Equifax has officially opened a new AI Innovation Lab in Wexford, Ireland, on September 11, 2025, establishing a global hub for its artificial intelligence and machine learning research. Supported by the Irish Government through IDA Ireland, the lab will unite data scientists and tech specialists to pioneer advanced AI solutions. The facility’s primary focus is on developing sophisticated AI and machine learning algorithms to improve credit risk assessment, enhance fraud detection, and promote greater financial inclusion. This launch is a key part of Equifax’s overarching EFX.AI strategy, building on its decade of AI innovation. ...

OpenAI Taps Thinking Machines as First APAC Services Partner to Boost Enterprise AI Thinking Machines Data Science is now OpenAI’s first official services partner in the Asia-Pacific (APAC) region. This strategic collaboration aims to accelerate enterprise AI adoption across APAC. Thinking Machines will provide businesses with specialized training for ChatGPT Enterprise, support for building custom AI applications, and expert guidance on integrating AI into daily operations. The partnership will initially target Singapore, the Philippines, and Thailand, with future plans to expand into other markets and develop tailored services for key sectors like finance, retail, and manufacturing. This initiative directly addresses the challenge many regional companies face in converting AI adoption into tangible business value. ...

Gartner’s 2025 Hype Cycle: Generative AI Enters ‘Trough of Disillusionment’ According to Gartner’s 2025 Hype Cycle for Artificial Intelligence, Generative AI has officially moved into the ‘Trough of Disillusionment’. This shift indicates that the initial peak of inflated expectations is cooling as organizations now grapple with the technology’s limitations and seek tangible returns on investment (ROI). Gartner notes that while GenAI remains a potentially transformational technology, the primary challenge for many companies is proving its business value. Consequently, the industry’s focus is shifting towards foundational elements like AI-ready data and the development of AI agents, both of which are currently at the ‘Peak of Inflated Expectations’. This trend underscores a maturing understanding that successful enterprise AI relies on strong data governance, intelligent workflows, and robust operational frameworks. Despite cooling expectations for GenAI, overall IT spending is still projected to increase in 2025, driven partly by ongoing investments in AI software and infrastructure. ...

Mount Sinai’s ‘AEquity’ AI Tool Aims to Eliminate Healthcare Algorithm Bias Researchers at the Icahn School of Medicine at Mount Sinai have introduced AEquity, a novel AI tool designed to detect and mitigate biases in healthcare machine learning algorithms. As detailed in the Journal of Medical Internet Research, this tool confronts the critical challenge of algorithmic bias, which can compromise the accuracy of medical diagnoses and treatment strategies. AEquity was validated on diverse health datasets, including medical imagery and patient records, successfully identifying both known and previously undiscovered biases. The primary objective of AEquity is to ensure AI-driven healthcare solutions are both effective and equitable for all patient demographics, particularly those underrepresented in training data. The framework is built for adaptability, supporting a wide array of machine learning models. ...

NinjaTech & Cerebras Unveil Fast Deep Coder to Revolutionize Software Development NinjaTech AI and Cerebras Systems have launched Fast Deep Coder, a groundbreaking development solution engineered to accelerate software creation by 5 to 10 times compared to traditional methods. The platform integrates a Cerebras-accelerated reasoning model with NinjaTech’s SuperNinja VM environment, empowering developers to build, test, and debug code with unprecedented speed. By drastically reducing iteration cycles from 10-15 minutes down to just 1-2 minutes, Fast Deep Coder helps developers maintain a state of creative flow. The solution offers a dedicated and secure virtual machine for each thread and features native GitHub integration for seamless version control. ...

Stellantis Halts Level 3 Autonomous Driving Program, Citing High Costs and Low Demand Stellantis has officially suspended the development and launch of its Level 3 autonomous driving system, known as AutoDrive. The decision to halt the self-driving technology program is attributed to significant development costs, technical complexity, and a perceived lack of consumer demand for the advanced feature. While the company stated the AV technology is ready for deployment, it has been put on hold with no immediate plans for a market launch. This move is seen as a strategic reset for the automaker, which will now increase its reliance on external suppliers and technology partners like aiMotive for future autonomous systems. The work already completed on the Level 3 system will be integrated into future platform developments, reflecting the broader challenges legacy automakers face in the competitive autonomous vehicle sector. ...

Meta and Google Ink Massive $10 Billion Cloud Computing Deal for AI Expansion Meta Platforms and Google have reportedly entered into a six-year cloud computing agreement valued at over $10 billion. This strategic partnership will see Meta leverage Google Cloud’s servers, storage, and networking services to power its expanding AI infrastructure. The deal comes as Meta plans to invest hundreds of billions in building large-scale AI data centers. This agreement marks Google’s second major cloud deal recently, following a similar one with OpenAI, highlighting the surging demand for robust cloud infrastructure to support advanced AI development. To help finance these ambitious projects, Meta is also seeking external partners and plans to offload $2 billion in data center assets. ...