OpenAI Unveils GPT-Realtime: A Leap Forward in Speech-to-Speech AI OpenAI has officially launched GPT-Realtime, its most advanced speech-to-speech model, and has moved its Realtime API out of beta with new enterprise-grade features. GPT-Realtime is engineered to understand and generate audio directly, which significantly reduces latency and preserves crucial nuances like emotion and laughter often lost in traditional text-to-speech systems. The new model showcases enhanced performance in reasoning, instruction following, and function calling. The updated Realtime API now supports image input, Session Initiation Protocol (SIP) for phone network connectivity, and Multi-Capability Pipelines (MCP) for pluggable features. OpenAI also introduced two new voice options, Cedar and Marin, and has cut the pricing for the Realtime API by 20%. ...

Esaote Unveils AI-Powered Cardiac Ultrasound at ESC 2025 for Enhanced Diagnostics Medical imaging company Esaote is set to introduce significant AI enhancements to its cardiac ultrasound technology at the European Society of Cardiology (ESC) 2025 conference. The system utilizes machine learning algorithms to improve image clarity and diagnostic accuracy. This innovation in AI-driven medical imaging aims to enhance cardiac workflows and enable quicker, more reliable interpretation of results for healthcare professionals. ...

Microsoft Challenges OpenAI with In-House MAI-1 and MAI-Voice-1 AI Models Microsoft has begun public testing for MAI-1, its first internally developed, large-scale AI model, marking a significant strategic move to reduce its reliance on partner OpenAI. The new foundational model is engineered for general-purpose tasks, including answering complex questions and following instructions. Alongside MAI-1, Microsoft also unveiled MAI-Voice-1, a sophisticated model capable of generating natural-sounding, human-like speech. The voice model can reportedly generate one minute of audio in under a second using minimal computing power. These releases signal escalating competition in the generative AI space, especially within multimodal and voice-based applications. ...

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. ...

AI Roundup: NASA’s Alien Hunt, DoD Intelligence, and LLM Security Recent advancements in Artificial Intelligence and Machine Learning are making an impact across diverse sectors. A NASA-funded project is now leveraging AI to aid in the search for extraterrestrial life. In the defense sector, a new partnership between SMX and Google Public Sector aims to deliver AI-driven intelligence solutions to the U.S. Department of Defense. Meanwhile, Cloudflare has launched a new initiative focused on enhancing the security of Large Language Models (LLMs). ...

AI & ML Developments: NVIDIA GPUs, Mozambique’s Tax Strategy, and University Partnerships Today’s top stories in Artificial Intelligence and Machine Learning feature Lambda’s deployment of Supermicro’s NVIDIA Blackwell GPU servers to expand its AI cloud infrastructure. In other news, Mozambique is adopting a new AI-centric strategy to transform its tax system, and Elizabeth City State University is collaborating with Amazon to advance AI and ML education for its students. Sources: ...

Anscer Robotics Launches LBR 500 AMR to Automate Indian Manufacturing Bengaluru-based Anscer Robotics has launched the LBR 500, a low-bed autonomous mobile robot (AMR) designed to automate material movement using trolleys within Indian manufacturing facilities. Developed in response to the widespread use of trolleys for material handling in local factories, the LBR 500 is engineered for compatibility with a diverse range of existing trolleys. The AMR features a 500 kg load capacity, an 8-hour operational runtime on a single charge, and a top speed of 1.2 meters per second. To ensure safe collaboration with human workers, the robot adheres to ISO 13849 and PLd Category 3 safety standards. Anscer Robotics is also making the technology accessible to small and medium-sized enterprises through a Robots-as-a-Service (RaaS) model. ...

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. ...

Meta and Google Cloud Forge $10 Billion AI Partnership Meta Platforms has entered into a landmark six-year agreement with Google Cloud, valued at over $10 billion, to significantly enhance its artificial intelligence infrastructure. This strategic partnership will see Meta leverage Google Cloud’s comprehensive suite of services, including servers, storage, and networking, to power its ambitious AI expansion. The deal is a critical component of Meta’s plan to scale its data center capacity to approximately 1 gigawatt of compute power, utilizing over 1.3 million GPUs in 2025. This collaboration underscores the intense investment and competition within the AI sector, as tech giants commit substantial capital to advance their capabilities. For Google Cloud, this agreement represents a major victory in its ongoing competition with other leading cloud providers. ...