Robotics & Autonomous Vehicles

AI Boosts Bitcoin Mining Profitability Post-Halving Artificial intelligence and machine learning are fundamentally reshaping the profitability of the Bitcoin mining industry. In the wake of the 2024 halving event, which decreased block rewards, miners are increasingly deploying AI to optimize operational efficiency. Reports indicate that AI-driven predictive maintenance is extending hardware lifespan by 40%, significantly reducing downtime and replacement costs. Furthermore, machine learning models are optimizing energy consumption by dynamically adjusting hashrate based on real-time electricity prices, a strategy shown to boost returns by 12-18%. AI is also enabling innovative uses for waste heat from mining operations, such as in greenhouse agriculture, which has been demonstrated to cut heating costs by 30%. ...

AI & Machine Learning: Alibaba’s Omni-Modal AI and Quantum Material Discovery This week in AI and Machine Learning, key advancements include the release of Alibaba’s omni-modal AI, Qwen3-Omni, a new tool from MIT called SCIGEN that uses AI to discover quantum materials, a novel AI framework from Florida Atlantic University for managing complex systems, and a breakthrough in healthcare using AI to predict spinal cord injury outcomes from blood tests. ...

MLCommons Releases MLPerf Inference v5.1, Setting New AI Performance Benchmarks MLCommons has released MLPerf Inference v5.1, the latest version of its benchmark suite, introducing new tests to evaluate AI system performance on modern workloads. This update saw a record 27 organizations submitting systems for evaluation. The new version features three new benchmarks, including one for the DeepSeek-R1 reasoning model, and implements tighter latency requirements for certain large language model tests. Notably, the popular Llama 2 70B benchmark demonstrated significant performance gains, with top systems running up to 50% faster than in the previous release. The v5.1 release also marked the first submission of a heterogeneous system that intelligently balances inference workloads across different accelerator types. ...

ASML Invests €1.3B to Become Top Shareholder in Mistral AI Dutch semiconductor giant ASML is poised to become the largest shareholder in French AI startup Mistral AI following a landmark investment. ASML is leading a Series C funding round with a €1.3 billion investment, part of a larger €1.7 billion round. This significant funding values Mistral AI between €10 billion and €14 billion, positioning it as one of Europe’s most valuable AI companies. The move is a strategic effort to bolster Europe’s competitiveness in the global AI landscape, currently dominated by US and Chinese firms. ASML’s investment will likely secure it a seat on Mistral AI’s board. Founded in 2023 by former researchers from Google’s DeepMind and Meta, Mistral AI has rapidly gained prominence for its open-weight large language models. ...

OpenAI Unveils GPT-Realtime: A Leap Forward in Speech-to-Speech AI OpenAI has officially launched GPT-Realtime, its most advanced speech-to-speech model, and has moved its Realtime API out of beta with new enterprise-grade features. GPT-Realtime is engineered to understand and generate audio directly, which significantly reduces latency and preserves crucial nuances like emotion and laughter often lost in traditional text-to-speech systems. The new model showcases enhanced performance in reasoning, instruction following, and function calling. The updated Realtime API now supports image input, Session Initiation Protocol (SIP) for phone network connectivity, and Multi-Capability Pipelines (MCP) for pluggable features. OpenAI also introduced two new voice options, Cedar and Marin, and has cut the pricing for the Realtime API by 20%. ...

Esaote Unveils AI-Powered Cardiac Ultrasound at ESC 2025 for Enhanced Diagnostics Medical imaging company Esaote is set to introduce significant AI enhancements to its cardiac ultrasound technology at the European Society of Cardiology (ESC) 2025 conference. The system utilizes machine learning algorithms to improve image clarity and diagnostic accuracy. This innovation in AI-driven medical imaging aims to enhance cardiac workflows and enable quicker, more reliable interpretation of results for healthcare professionals. ...

AI & ML Developments: NVIDIA GPUs, Mozambique’s Tax Strategy, and University Partnerships Today’s top stories in Artificial Intelligence and Machine Learning feature Lambda’s deployment of Supermicro’s NVIDIA Blackwell GPU servers to expand its AI cloud infrastructure. In other news, Mozambique is adopting a new AI-centric strategy to transform its tax system, and Elizabeth City State University is collaborating with Amazon to advance AI and ML education for its students. Sources: ...

Cyware Launches Open-Source AI Server to Secure Threat Intelligence At the Black Hat USA 2025 conference, cybersecurity firm Cyware announced the launch of its open-source Model Context Protocol (MCP) Server. This new tool is designed to securely connect large language models (LLMs) with threat intelligence and automation systems. The MCP Server allows security teams to use natural language inputs to initiate real-world actions and investigations while maintaining full context and control. The move reflects a broader trend of viewing AI as a practical tool for improving security operations by reducing investigation times and improving data correlation. By open-sourcing the server, Cyware aims to foster collaboration and interoperability within the cybersecurity community. ...

EngineAI Unveils New Humanoid Robots at World Robot Conference 2025 EngineAI showcased its latest advancements in humanoid robotics at the World Robot Conference 2025 in Beijing. The company debuted the T800, a heavy-duty, full-sized humanoid robot standing 1.85 meters tall, and also presented the PM01, which demonstrated impressive dexterity and high-speed running. Additionally, EngineAI announced the upcoming release of the SA02, a 1.25-meter-tall humanoid robot priced at approximately $5,500, aimed at making the technology more accessible to young engineers and enthusiasts. The company also introduced the JS01, a high-mobility quadrupedal robot designed for rugged terrains, suitable for industrial inspections, rescue, and logistics. These innovations highlight EngineAI’s focus on accelerating the commercialization of robotics and fostering a collaborative global ecosystem. ...

How Google AI’s New Method Reduces LLM Training Data by 10,000x Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that reduces required training data by up to 10,000 times. This innovative approach utilizes active learning to focus expert labeling on the most informative examples, especially “boundary cases” where model uncertainty is highest. In experiments with Gemini Nano models, this technique matched or surpassed the quality of models trained on 100,000 random labels with as few as 250 to 450 targeted examples. This development promises to make AI model development significantly leaner, more agile, and more cost-effective. ...