“بولينوم” and Abu Dhabi University have launched an AI Academy aimed at developing future leaders in artificial intelligence. The initiative combines advanced research with industry insights, offering tailored programs for executives and government officials to enhance their understanding of AI’s transformative potential in various sectors.
AWS AI Labs has launched SWE-PolyBench, an open-source multilingual benchmark for evaluating AI coding agents. This framework addresses limitations of existing benchmarks by incorporating real pull requests across multiple programming languages, enabling more comprehensive assessments of coding agents’ capabilities in real-world scenarios.
Operai plans to launch its first open language model since GPT-2, aiming for a summer release. The model will feature a permissive license and focus on reasoning capabilities. CEO Sam Altman emphasizes the need for a different open-source strategy, while addressing safety evaluations before the model’s release.
At the FDI 2025 Symposium, Fasoo’s CEO emphasized the importance of balancing public and private LLMs for effective enterprise AI strategies. He highlighted the need for cost-effective infrastructure, robust data governance, and compliance measures to enhance AI implementation while minimizing hardware expenses. The company also introduced its latest SLM, Ellm.
Researchers at Cornell University have developed RHyME, a groundbreaking system enabling robots to learn complex tasks from a single video. This innovative approach enhances efficiency and adaptability, significantly reducing training data requirements and improving success rates in robotic tasks, paving the way for smarter robotic assistants in real-world applications.
Huawei plans to begin shipping its advanced AI chip, the 910C, to Chinese customers soon. This development comes as companies face challenges finding local alternatives to Nvidia’s H20 chip, which is now restricted for export. The 910C offers double the computing power and memory capacity of its predecessor, the 910B.
Hammerspace, a high-performance data platform for AI, has secured $100 million in strategic growth capital from notable investors like Altimeter Capital and ARK Invest. This funding aims to enhance AI infrastructure, addressing the critical need for scalable data performance in modern computing environments, ultimately accelerating global expansion and innovation.
Tesla’s CEO Elon Musk announced plans to significantly ramp up production of the Optimus humanoid robot, aiming for thousands by 2025. The company is expanding its reinforcement learning training for robotic tasks, with a goal of producing 50,000 to 100,000 units by 2026, marking a major step in robotics innovation.
AI’s growing energy demand is reshaping power infrastructure, with data centers consuming 415 terawatt-hours globally in 2024. This consumption is increasing 12% annually, outpacing global electricity use. Solutions include more efficient models, renewable energy shifts, and edge computing to manage environmental and economic impacts.
The digital transformation driven by AI is reshaping our energy landscape, with data centers consuming 415 TWh of electricity globally in 2024. This demand is growing rapidly, raising sustainability concerns. As AI’s energy appetite expands, innovative strategies and regulatory frameworks are essential for balancing technological advancement with environmental responsibility.
