The global application of Artificial Intelligence (AI) in the real estate market is rapidly expanding, projected to reach $180.345 billion by 2030, with a compound annual growth rate of 35%. This market's rapid growth is driven by advancements in machine learning, predictive analytics, and the increasing demand for automation in property management. Key players in this market include Zillow Group, Compass, Redfin Corporation, and Reonomy, leveraging AI-powered tools to enhance customer experience.

Maxis Berhad, a Malaysian telecommunications company, and Huawei Technologies (Malaysia) Sdn Bhd have announced a strategic collaboration to enhance intelligent network operations through Artificial Intelligence (AI) and Machine Learning (ML). This collaboration aims to accelerate Maxis' digital transformation and improve user experience and operational efficiency via self-optimizing network technologies. According to Maxis, the collaboration will involve a comprehensive joint project focused on integrating AI and ML deeply into network management.

SiliconCloud's platform now officially supports batch inference for DeepSeek-R1 and V3 APIs. Users can submit requests via batch APIs to process large datasets within 24 hours, overcoming the limitations of real-time inference rates. A key highlight is the significant price reduction; DeepSeek-V3 batch inference is substantially cheaper than real-time inference.

OpenAI recently announced a major update to its macOS ChatGPT app: direct code editing within IDEs. This feature is currently exclusive to Plus, Pro, and Team subscribers. According to an X post, this update transforms ChatGPT from a conversational tool into a developer productivity assistant. OpenAI revealed on X that "ChatGPT for macOS can now directly edit code within your IDEs."

iFlytek and Huawei recently jointly released an upgraded StarFire All-in-One machine. This machine features comprehensive localized support in computing power, models, training, and inference, aiming for rapid deployment and out-of-the-box application experience. The release includes 4U training and inference integrated machines and 2U inference machines, marking another significant advancement in AI applications across various fields. A key highlight of the new StarFire All-in-One machine is its support for the integration of both iFlytek's StarFire and DeepSeek engines, combining in-depth thinking with industry understanding.

Tencent's AI assistant, Tencent Yuanbao, recently officially launched its desktop application, supporting both Windows and macOS operating systems, further expanding its services on the desktop. This desktop version is designed for work and study scenarios, aiming to help users reduce workload and improve efficiency. The desktop version retains the core functionalities of the mobile and web versions, allowing users to experience the same intelligent conversational capabilities. Users can utilize the full-fledged DeepSeek-R1 and the reasoning model Hunyuan T1 for in-depth thinking, and also leverage Deep...

Midea's innovative DeepSeek air conditioner marks a significant advancement in smart home technology, offering seamless voice control and enhanced user experience.

Canalys reports a significant increase in global AI PC shipments during the fourth quarter of 2024, with Apple holding a dominant 54% market share.

Database engine developer MongoDB recently announced the acquisition of AI startup Voyage AI for $220 million. This acquisition aims to help businesses reduce the potential for 'hallucinations' in their AI applications, enhancing the reliability and accuracy of their products. Image note: Image generated by AI, image licensing service Midjourney. MongoDB President and CEO Dev Ittycheria stated in a press release...

Recently, the Meta AI team launched the video joint embedding prediction architecture (V-JEPA) model, an innovative initiative aimed at advancing machine intelligence. Humans can naturally process information from visual signals and recognize surrounding objects and motion patterns. An important goal of machine learning is to reveal the fundamental principles that drive unsupervised learning in humans. Researchers proposed a key hypothesis—the predictive feature principle—arguing that the representations of continuous sensory inputs should be able to predict each other. Early research methods utilized slow feature analysis.

Recently, Figure founder and CEO Brett Adcock announced a new machine learning model called Helix, aimed at enhancing the capabilities of humanoid robots in household environments. This news comes just two weeks after Figure announced the end of its collaboration with OpenAI, demonstrating their strong commitment to the field of robotics technology. Helix is a 'general-purpose' visual-language-action (VLA) model capable of processing visual data.

In the field of robotics, the American startup Figure AI recently released a large edge model named Helix, marking a significant breakthrough in humanoid robot control technology. Helix is the first visual-language-action (VLA) model capable of high-frequency, continuous control over the entire upper body of a humanoid robot, including the head, torso, wrists, and fingers. This means that the robot can perform tasks directly based on natural language instructions without extensive training.