Do you know? Malaysia’s energy industryMalaysian coal-fired power plants typically use low-rank Indonesian coal.The Indonesian coal provides 4,200-5,500 kilocalories per kilogramme.In contrast, Australia’s high-grade coal provides 5,500-6,500 kilocalories per kilogramme.Indonesian coal is preferred because it’s cheaper at USD30-75 per tonne compared to Australian coal at USD70-125 per tonne. Equity Debt Commodities Digital assets M&A Malaysia…
Do you know? Malaysia’s energy industryMalaysia imports 80% of coal.75% of coal imports (27 million tonnes) come from Indonesia.20% of coal imports (5.5 million tonnes) come from Australia.1 tonne of coal produces 24GJ of energy vs 1 tonne of LNG at 55GJ. Equity Debt Commodities Digital assets M&A Malaysia Other markets
Do you know? Malaysia’s energy industryNational electricity generation mix: fossil fuels 80% and renewables 20%.For the whole country, coal contributes 40-45% to the mix.For North Borneo, the mix is hydropower 45-55%, natural gas 25-35% and coal 15-25%.Source of fossil fuels: Coal 90-100% imported, natural gas 70-90% domestic supply. Equity Debt Commodities Digital assets M&A Malaysia…
Do you know? Malaysia’s energy industryNet crude oil exporter: Exports 500k-600k barrels vs imports 300k-400k barrels per day.Net refined petroleum product (including petrol / diesel) importer: Exports 200k-300k barrels vs imports 300k-400k barrels per day.Net natural gas exporter: Exports 30-35m tonnes vs imports 5-10m tonnes per year.Natural gas contributes 40-50% of Malaysia’s electricity generation mix….
Do you know? Google’s TurboQuantOver time, TurboQuant could lower the barrier to deploying powerful AI models on less‑expensive hardware or edge devices, enabling more efficient on‑device assistants, cheaper cloud‑based APIs, and broader experimentation in research and production. Equity Debt Digital assets M&A Malaysia Other markets
Do you know? Google’s TurboQuantBy cutting DRAM pressure and memory‑related infrastructure costs, TurboQuant has the potential to slow the “RAMageddon” trend in AI, making it economically feasible to run larger or longer‑context models at scale. Equity Debt Digital assets M&A Malaysia Other markets
Do you know? Google’s TurboQuantBecause TurboQuant is a drop‑in layer that works on existing models without retraining or fine‑tuning, it can be deployed quickly across a wide range of AI systems, including search, retrieval‑augmented pipelines, and long‑context reasoning workloads. Equity Debt Digital assets M&A Malaysia Other markets
Do you know? Google’s TurboQuantBy compressing vectors to low bit widths (often around 3 bits per value) and using techniques like PolarQuant and Quantized Johnson–Lindenstrauss, TurboQuant reduces the bandwidth and storage needed for attention, which can speed up inference by roughly 8× on modern GPUs. Equity Debt Digital assets M&A Malaysia Other markets
Do you know? Google’s TurboQuantTurboQuant is Google’s new memory‑compression algorithm that shrinks the key–value cache and vector representations in large language models (LLMs) by up to about 6×, all without measurable loss in model quality, making inference much more memory‑efficient. Equity Debt Digital assets M&A Malaysia Other markets
Do you know? Section 301 of the Trade Act of 1974In March 2026, USTR launched a fresh set of Section 301 investigations into “structural excess capacity and production” policies in 16 major trading partners, including the EU, China, India, Korea, Mexico, and several ASEAN economies. These probes target sectors such as steel, chemicals, batteries, semiconductors,…