The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the telecommunications sector marks a pivotal moment in the field. A recent partnership between M1, a prominent Mobile Network Operator in Singapore, and Ericsson showcases this advancement with the deployment of the
As digital transformation accelerates and landscapes evolve, safeguarding OT security has emerged as a paramount concern for modern organizations. A recent Cisco report underscores the critical need for companies to enhance their OT security frameworks, ensuring operational stability, efficiency,
The unveiling of Google's next-generation AI chip, Trillium, at the company’s annual I/O conference marked a significant leap forward in AI chip development. This new iteration of Google’s Tensor Processing Unit (TPU) brings substantial improvements in efficiency, performance, scalability, and
Juniper Networks has introduced Ops4AI, the industry’s first multivendor lab designed to enhance AI workload performance by creating a flexible and manageable data center infrastructure. This revolutionary lab was developed in collaboration with industry giants such as Nvidia, Broadcom, Intel, and
Tencent Holdings has made significant strides in its high-performance computing operations with the upgrade of its Xingmai 2.0 network, enhancing its AI and large language model (LLM) training capabilities. This development doubles the network's capacity to support over 100,000 GPUs in a single
Corning has recently revised its sales outlook due to a significant increase in demand for fiber connections in AI data centers, underscoring the pivotal role fiber optics play in the digital expansion ignited by AI technologies. The company's projections for second-quarter sales rose by $200
