News from the AI & ML world
DeeperML - #deeplearning
|
Steve Vandenberg@Microsoft Security Blog
//
Microsoft is making significant strides in AI and data security, demonstrated by recent advancements and reports. The company's commitment to responsible AI is highlighted in its 2025 Responsible AI Transparency Report, detailing efforts to build trustworthy AI technologies. Microsoft is also addressing the critical issue of data breach reporting, offering solutions like Microsoft Data Security Investigations to assist organizations in meeting stringent regulatory requirements such as GDPR and SEC rules. These initiatives underscore Microsoft's dedication to ethical and secure AI development and deployment across various sectors.
AI's transformative potential is being explored in higher education, with Microsoft providing AI solutions for creating AI-ready campuses. Institutions are focusing on using AI for unique differentiation and innovation rather than just automation and cost savings. Strategies include establishing guidelines for responsible AI use, fostering collaborative communities for knowledge sharing, and partnering with technology vendors like Microsoft, OpenAI, and NVIDIA. Comprehensive training programs are also essential to ensure stakeholders are proficient with AI tools, promoting a culture of experimentation and ethical AI practices. Furthermore, Microsoft Research has achieved a breakthrough in computational chemistry by using deep learning to enhance the accuracy of density functional theory (DFT). This advancement allows for more reliable predictions of molecular and material properties, accelerating scientific discovery in fields such as drug development, battery technology, and green fertilizers. By generating vast amounts of accurate data and using scalable deep-learning approaches, the team has overcome limitations in DFT, enabling the design of molecules and materials through computational simulations rather than relying solely on laboratory experiments.
Share:
References :
Classification:
@futurumgroup.com
//
NVIDIA reported a significant jump in Q1 FY 2026 revenue, increasing by 69% year-over-year to $44.1 billion. This growth was fueled by strong demand in both the data center and gaming segments, driven by the anticipation and initial deployments of their Blackwell architecture. Despite facing export restrictions in China related to H20, NVIDIA’s performance reflects sustained global demand for AI computing. The company is actively scaling Blackwell deployments while navigating these export-related challenges, supported by traction in sovereign AI initiatives which helped offset the headwinds in China.
NVIDIA's CEO, Jensen Huang, highlighted the full-scale production of the Blackwell NVL72 AI supercomputer, describing it as a "thinking machine" for reasoning. He emphasized the incredibly strong global demand for NVIDIA's AI infrastructure, noting a tenfold surge in AI inference token generation within a year. Huang anticipates that as AI agents become more mainstream, the demand for AI computing will accelerate further. The company's data center revenue reached $39.1 billion, a 73% increase year-over-year, showcasing the impact of Blackwell ramp up and the adoption of accelerated AI inference. Beyond infrastructure, NVIDIA is also expanding its reach through strategic partnerships. NVIDIA and MediaTek are collaborating to develop an ARM-based mobile APU specifically designed for gaming laptops. This collaboration aims to combine NVIDIA’s graphics expertise with MediaTek’s compute capabilities to create a product that could rival AMD’s Strix Halo. The planned APU will focus on power efficiency and thermal performance, which are crucial for modern gaming laptops with thinner chassis.
Share:
References :
Classification:
|
BenchmarksBlogsResearch Tools |