➀ Japanese AI company Alt filed for bankruptcy protection after being delisted from the Tokyo Stock Exchange, with CEO Kazutaka Yonekura resigning amid financial irregularities;

➁ Investigations revealed 78%-91% of Alt’s reported sales from 2021-2024 were inflated, raising concerns about IPO credibility;

➂ Despite offering AI-driven services like digital clones and automated meeting transcription, Alt faces an uncertain restructuring process due to a lack of financial backers.

➀ The GreenBotAI project, a German-French collaboration, aims to reduce energy consumption in industrial robots by over 25% using AI-driven path planning, simulation, and data analysis;

➀ The initiative focuses on developing trustworthy, industry-ready AI solutions, combining expertise from academia and industry partners like Fraunhofer IWU and INBOLT;

➂ Results from three years of research were showcased in Paris, highlighting improvements in productivity and sustainability under a bilateral AI innovation program.

➀ Qualcomm acquires Arduino to strengthen its edge computing offerings, following earlier integrations of Edge Impulse and Foundries.io, aiming to provide a full-stack hardware-software-cloud platform;

➁ Arduino retains its open-source approach and brand independence, collaborating with Qualcomm to launch the UNO Q—a dual-architecture board for AI-powered solutions in smart homes and industrial automation;

➂ The Arduino App Lab and Edge Impulse integration streamline AI development, empowering 33M+ community members with Qualcomm’s technology and democratizing AI tools globally.

➀ Hyperscaler cloud marketplaces (AWS, Microsoft, Google Cloud) are projected to drive enterprise software sales growth from $30B in 2024 to $163B by 2030, with a 29.1% CAGR;

➁ Key drivers include multi-year cloud commitments ($470B in total), strategic marketplace procurement, and the rise of agentic AI, which is expected to account for $24.4B in spending by 2030;

➂ Cybersecurity ($31B by 2030) and partner-led transactions (60% of total) will play crucial roles, with infrastructure software, DevOps, and business applications dominating 63% of marketplace spending.

➀ The article examines challenges non-experts face in prompt engineering, revealing their tendency to use ad hoc methods and over-generalize from limited AI interactions;

➁ Participants in a study struggled with understanding AI's distinct response patterns, preferring human-like instructions over data-driven examples;

➂ The gap between human-AI and human-human communication highlights the need for rethinking interaction strategies to optimize AI usability.

➀ Waymo's autonomous vehicles in Arizona halted operations due to heavy rain and flooding, as their AI systems struggled to distinguish surface water from deeper hazards；

➁ The company suspended services for three days to analyze data and improve weather response capabilities, citing the storms as critical learning opportunities；

➂ Waymo plans to expand trials to cities like New York and Denver with diverse weather, having previously operated in dry climate regions.

➀ AMD will supply multiple generations of GPUs optimized for OpenAI's AI training and grants OpenAI the right to purchase up to 10% of AMD shares at $0.01 per share, contingent on milestone achievements;

➁ The partnership includes a phased deployment plan starting with 1GW of AMD Instinct MI450 GPUs in 2026 and scaling to 6GW, integrating future chip generations and rack-scale AI solutions;

➂ The deal aligns strategic goals, with AMD projecting tens of billions in revenue and enhanced non-GAAP earnings, while OpenAI aims to accelerate AI infrastructure and democratize advanced AI capabilities.

➀ AMD and OpenAI announced a 6GW AI compute mega-deal, marking a significant milestone in AMD's AI GPU market position with plans to deploy 1GW of MI450 GPUs in late 2026；

➁ The collaboration involves AMD's Venice server CPUs and Pensando networking solutions, providing infrastructure support for large-scale AI deployments；

➂ The agreement includes warrants for OpenAI tied to AMD's stock performance and technical milestones, signaling deep strategic alignment between the companies.

➀ AMD and OpenAI have reached a multi-year agreement for OpenAI to purchase several generations of Instinct GPUs and invest in a 10% stake in AMD.

➁ The deal is expected to begin in the second half of 2026 with the deployment of AMD's Instinct MI450 GPUs.

➂ AMD and OpenAI will collaborate on large-scale deployments of AMD's chips, including both Instinct MI450 series GPUs and rack-scale AI solutions.

➀ Trogenix, an Edinburgh-based biotech company, raised $95 million in Series A funding to advance precision cancer therapies targeting aggressive tumors like glioblastoma and colorectal liver metastases;

➁ The funds will support clinical trials for glioblastoma starting in 2026 and expand its pipeline for liver and lung cancers using the proprietary Odysseus platform;

➂ The technology combines cancer cell-killing and immune stimulation through Synthetic Super Enhancers (SSEs), offering long-term protection against tumor recurrence without harming healthy tissue.

➀ Fujitsu and NVIDIA collaborate to develop a self-evolving, full-stack AI infrastructure integrating Fujitsu-Monaka CPUs and NVIDIA GPUs via NVLink Fusion, targeting industries like healthcare and manufacturing;

➁ The partnership focuses on an AI agent platform balancing speed and security, combining Fujitsu's Kozuchi and NVIDIA's Dynamo, leveraging NeMo for sector-specific AI model customization;

➂ The initiative aims to accelerate industrial automation, address labor shortages through robotics, and promote global AI adoption to enhance competitiveness and sustainability.

➀ EU President Ursula von der Leyen proposes a '28th regime' to unify regulations for startups, simplifying cross-border scaling in Europe;

➁ Key initiatives include the Scaleup Europe Fund to address risk capital shortages and AI-driven healthcare screening centers to accelerate technology adoption;

➂ Emphasizes Europe's potential to lead in AI and autonomous vehicles, aiming to retain talent and drive global innovation.

➀ Business leaders like Goldman Sachs CEO David Solomon and Amazon founder Jeff Bezos debated whether the AI investment boom is a bubble, with Solomon cautioning potential unrealized returns and Bezos acknowledging short-term risks but emphasizing long-term societal benefits.

➁ Hyperscaler AI capital expenditures are projected to reach $490 billion by 2026 and $684 billion by 2029, while AI companies have accumulated $268 billion in debt over 2024-2025, raising concerns about financial over-engineering akin to historical bubbles like the 2007 subprime crisis.

➂ Nvidia’s $4.6 trillion market cap and circular financing practices (e.g., investing in firms that buy its chips) highlight structural risks, though Bezos argued that despite potential turbulence, AI-driven innovations will ultimately deliver transformative societal gains.

➀ Sofics collaborates with TSMC to provide advanced ESD protection solutions on nodes from 250nm to 2nm, enabling breakthroughs in AI infrastructure and harsh-environment electronics;

➀ Partnering with Celestial AI, Sofics developed low-parasitic ESD IP for photonic interconnects on TSMC 5nm, addressing AI's 'memory wall' with 50-100Gbps bandwidth and radiation-hardened solutions for space applications;

➂ Sofics' 15-year partnership with Magics Technologies delivers radiation-hardened ESD IP for nuclear fusion and aerospace systems, supporting SEE immunity up to 80MeV·cm²/mg.

➀ Sonical's CosmOS platform transforms traditional hearables into intelligent, upgradeable devices, enabling developers to create diverse applications such as immersive audio and health monitoring;

➁ RemoraPro technology achieves ultra-low-latency wireless audio (under 20ms), unlocking gaming, live music performance, and real-time communication use cases;

➂ By building an open ecosystem akin to smartphones' app stores, Sonical aims to partner with industry leaders to redefine hearables as the next-gen personal computing platform.

➀ KAYTUS MotusAI is an enterprise AI DevOps platform designed to manage end-to-end AI workflows, including inference/training clusters, storage, models, and user roles;

➁ It provides multi-tier user permissions (general users, admins, supervisors), Kubernetes integration, and resource monitoring features for GPU utilization, storage, and cluster health;

➂ The platform supports NVIDIA MIG GPU partitioning, data synchronization, and cost management tools for enterprise AI infrastructure optimization.

➀ Researchers developed the Mic-E-Mouse technique, utilizing high-DPI mouse sensors (20,000+ DPI) to capture acoustic vibrations and convert them into speech via AI processing;

➀ The attack exploits compromised software (e.g., games or creative apps) to collect raw mouse data, which is then filtered and enhanced through neural networks for 42-61% speech recognition accuracy;

➂ While alarming, this method highlights evolving AI-driven privacy risks and echoes historic surveillance tactics like the KGB's Great Seal bug.

➀ Taiwan proposes a 'Taiwan Model' strategic alliance to balance domestic chip production with U.S. investments, offering export guarantees and sharing science park expertise;

➁ The U.S. would provide land, visas, and regulatory support, while Taiwan resists relocating 50% of chip manufacturing to America and seeks expanded tariff exemptions;

➂ TSMC's Arizona expansion highlights both cooperation and U.S. concerns over Taiwan's proximity to China amid geopolitical tensions.

➀ Bronco AI develops AI-driven agents for design verification (DV) debugging, automating failure analysis across waveforms, logs, RTL/UVM, and specifications to reduce manual effort for engineers；

➁ The company specifically targets the critical bottleneck of DV debugging in chip development, alleviating overloaded experts and enabling teams to accelerate time-to-market；

➂ Unlike competitors focused on general AI tasks, Bronco prioritizes complex DV debug scenarios, leveraging generative AI to operate at multiple abstraction levels while ensuring on-premise data security.

➀ Traditional 2D chips face performance and power limitations in AI/data center applications due to communication bottlenecks and Moore's Law constraints;

➁ Alphawave Semi's 3D UCIe IP on TSMC's SoIC-X (3DFabric platform) achieves 10x better power efficiency and 5x higher density than 2.5D solutions;

➂ The vertical stacking architecture enables disaggregated chiplet designs, overcoming memory bandwidth limitations for next-gen AI/HPC systems.