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Oxford-based startup Lumai, a key player in AI infrastructure, has announced securing over $10 million in funding. The round was led by deep tech investor Constructor Capital, with participation from IP Group, Ventures, Journey Ventures, LIFTT, Qubits Ventures, State Farm Ventures, and TIS.

In today's development of artificial intelligence (AI), the speed of data transmission has become a significant bottleneck hindering its progress. To break through this barrier, a research team led by the University of Michigan (U-M) is developing a brand new chip connection system that uses optical waves instead of traditional cables for data transmission. This innovation is expected to address the 'memory wall' problem that limits computational speed and promote further growth of AI models. The project has received a $2 million grant from the National Science Foundation's Future Semiconductor program, with participation from the University of Washington and Penn State.

In the digital age, computer chips are getting smaller, but computing problems are becoming larger. With the continuous advancement of AI models, energy consumption and computing demands in data centers are growing exponentially. IBM's recent breakthrough in optical technology promises to transform this situation. Traditional data centers face two major technical bottlenecks: the limitations of copper wire transmission and electronic transmission speeds. Currently, most CPUs are largely idle, simply waiting for data packets to be transmitted. This represents a significant waste of computing resources. Image source note: Image generated by AI, image licensed.

American scientists recently published significant research findings in the journal Nature: the artificial intelligence model FastGlioma, jointly developed by the University of Michigan and the University of California, San Francisco, can quickly assess the presence of cancerous tumor residue within ten seconds during brain tumor surgeries, bringing a revolutionary breakthrough to neurosurgery. This innovation combines microscopic optical imaging with AI foundational models. The research team utilized over 11,000 surgical samples and 4 million microscopic images for pre-training, employing the University of Michigan's self-developed stimulated Raman tissue imaging technology.

Corning Inc. recently released its Q3 earnings report. The report shows that Corning performed exceptionally well in Q3 2024, primarily driven by increased market demand for optical fiber connectivity products, which are particularly suitable for generative AI applications. In the earnings report, Corning's core sales reached $3.73 billion, an 8% increase compared to last year. Meanwhile, the company’s earnings per share (EPS) rose by 20% to $0.54. This growth is a result of their commitment to innovation and technology.

Title: OCR 2.0: A New Generation Optical Character Recognition Model for Easy Image Text Conversion. Recently, researchers have developed a new universal Optical Character Recognition (OCR) model called GOT (Universal OCR Theory). In their paper, they introduced the concept of 'OCR 2.0' for the first time. This new model aims to combine the advantages of traditional OCR systems with the powerful capabilities of large language models. The architecture of GOT is quite advanced, featuring an image encoder with approximately 80 million parameters and 500...

In the digital age, quickly converting text content from images into editable text is a common and important need. Now, the emergence of a new optical character recognition (OCR) model called GOT (General Optical Character Recognition Theory) marks the advancement of OCR technology into the 2.0 era. This innovative model combines the advantages of traditional OCR systems with large language models, aiming to create a more efficient and intelligent text recognition tool. The GOT model employs an innovative end-to-end architecture, a design that not only saves resources but also greatly enhances performance.

At the 2024 China International Information and Communication Exhibition, Huawei once again showcased its innovative strength in the field of communication technology. Feng Zhishan, President of Huawei's Optical Access Division, delivered a speech at the forum "Accelerating the Commercialization of F5G-A 10Gb Optical Networks, Embracing New Opportunities in the Intelligent Era," painting a vivid picture of the booming optical broadband industry. With the rapid development of AI technology, various intelligent applications are emerging like mushrooms after rain, driving the optical broadband industry towards the 10Gb optical network. China's 10Gb optical network industry has entered a phase of large-scale explosion, with more than 10 provinces and cities nationwide implementing 10Gb optical network initiatives.

Recently, a model named GOT-OCR2.0 has attracted widespread attention in the industry. This model is capable of handling not only conventional text recognition tasks but also complex content such as formulas, tables, and sheet music, making it an all-around player in the OCR field. The core advantage of GOT-OCR2.0 lies in its diverse functionality and outstanding performance. Firstly, the model primarily supports the recognition of Chinese and English characters, and can be further fine-tuned to extend to more languages. This language adaptability enables GOT-OCR2.0 to be utilized in international applications.

Microsoft has released Phi-3.5-vision, a lightweight, multimodal open source AI model designed for processing textual and visual inputs, supporting a context length of 128K. This model is suitable for resource-constrained environments and features capabilities such as image understanding, OCR, chart parsing, and multi-image summarization, showcasing excellent performance and low latency. Comprised of 4.2 billion parameters, it is trained with high-quality data to ensure performance and privacy. It includes three models: lightweight AI, expert mix, and multimodal model, all demonstrating outstanding performance in image and video processing benchmarks.

The Realme 13 Pro series is set to launch, featuring groundbreaking performance and photography capabilities. Its AI Ultra Clear function can instantly optimize blurry photos to ultra-clear quality, catering to the needs of photography enthusiasts. The Realme 13 Pro+ is specially equipped with a 50MP LYT600 periscope telephoto lens, supporting 3x optical zoom and 120x digital zoom to adapt to various shooting scenarios. Powered by the Qualcomm Snapdragon 7s Gen2 processor, it ensures efficient performance, combined with a 5200mAh large-capacity battery and 80W fast charging technology to ensure long-lasting endurance.

Tsinghua University's Departments of Electronic Engineering and Automation have jointly developed the "Taiji-II" optical training chip, enabling efficient and precise optical computation training for large-scale neural networks. This innovation overcomes the limitations of existing optical computing technology, eliminating the reliance on GPUs for offline modeling and simplifying the training process. The chip demonstrates exceptional performance....

AXT Inc's stock has risen over 135%. AXTI's Q4 2023 financial report exceeded expectations. Morris Young predicts an increase in orders for Indium Phosphide in the AI sector. Indium Phosphide is considered the best platform for data transmission. The application of Indium Phosphide in AI is driving demand for 6-inch Indium Phosphide. Indium Phosphide can be widely used in the manufacture of optical module devices, and it is encountering new growth opportunities in the metals material supply chain.

1. Broadcom unveiled the 5nm 200G/channel PAM chip BCM858222 at ECOC 2023, which integrates a laser driver with leading PAM-4 modulation performance. 2. The BCM85822 enables a switching capacity of 51.2T, enhancing data center network density. 3. The new chip helps achieve the goal of 200G for both electrical and optical links. 4. The BCM85822 facilitates the migration of AI workloads from 800G to 1.6T.