News from the AI & ML world
DeeperML - #innovation
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@mastodon.acm.org
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blog.siggraph.org
, forge.dyalog.com
Advancements in machine learning, APL programming, and computer graphics are driving innovation across various disciplines. ACM Transactions on Probabilistic Machine Learning (TOPML) is highlighting the importance of probabilistic machine learning with its recently launched journal, featuring high-quality research in the field. The journal's co-editors, Wray Buntine, Fang Liu, and Theodore Papamarkou, share their insights on the significance of probabilistic ML and the journal's mission to advance the field.
The APL Forge competition is encouraging developers to create innovative open-source libraries and commercial applications using Dyalog APL. This annual event aims to enhance awareness and usage of APL by challenging participants to solve problems and develop tools using the language. The competition awards £2,500 (GBP) and an expenses-paid trip to present at the next user meeting, making it a valuable opportunity for APL enthusiasts to showcase their skills and contribute to the community. The deadline for submissions is Monday 22 June 2026. SIGGRAPH 2025 will showcase advancements in 3D generative AI as part of its Technical Papers program. This year's program received a record number of submissions, highlighting the growing interest in artificial intelligence, large language models, robotics, and 3D modeling in VR. Professor Richard Zhang of Simon Fraser University has been inducted into the ACM SIGGRAPH Academy for his contributions to spectral and learning-based methods for geometric modeling and will be the SIGGRAPH 2025 Technical Papers Chair. Recommended read:
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Steve Vandenberg@Microsoft Security Blog
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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. Recommended read:
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Michael Kan@PCMag Middle East ai
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SiliconANGLE
, THE DECODER
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Google is pushing forward with advancements in artificial intelligence across a range of its services. Google DeepMind has developed an AI model that can forecast tropical cyclones with state-of-the-art accuracy, predicting their path and intensity up to 15 days in advance. This model is now being used by the U.S. National Hurricane Center in its official forecasting workflow, marking a significant shift in how these storms are predicted. The AI system learns from decades of historical storm data and can generate 50 different hurricane scenarios, offering a 1.5-day improvement in prediction accuracy compared to traditional models. Google has launched a Weather Lab website to make this AI accessible to researchers, providing historical forecasts and data for comparison.
Google is also experimenting with AI-generated search results in audio format, launching "Audio Overviews" in its Search Labs. Powered by the Gemini language model, this feature delivers quick, conversational summaries for certain search queries. Users can opt into the test and, when available, a play button will appear in Google Search, providing an audio summary alongside relevant websites. The AI researches the query and generates a transcript, read out loud by AI-generated voices, citing its sources. This feature aims to provide a hands-free way to absorb information, particularly for users who are multitasking or prefer audio content. The introduction of AI-powered features comes amid ongoing debate about the impact on traffic to third-party websites. There are concerns that Google’s AI-driven search results may prioritize its own content over linking to external sources. Some users have also noted instances of Google's AI search summaries spreading incorrect information. Google says it's seen an over 10% increase in usage of Google for the types of queries that show AI Overviews. Recommended read:
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@futurumgroup.com
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futurumgroup.com
NVIDIA is significantly advancing the field of humanoid robotics through its Isaac GR00T platform and Blackwell systems. These tools aim to accelerate the development and deployment of robots in manufacturing and other industries. Key to this advancement is NVIDIA's focus on simulation-first, AI-driven methodologies, leveraging synthetic data and integrated infrastructure to overcome the limitations of traditional robot training. This approach is particularly beneficial for European manufacturers seeking to enhance their production processes through AI.
NVIDIA's commitment to AI-powered robotics is evidenced by its substantial investment in hardware and software. The company is constructing the "world's first" industrial AI cloud in Germany, featuring 10,000 GPUs, DGX B200 systems, and RTX Pro servers. This infrastructure will support CUDA-X libraries, RTX, and Omniverse-accelerated workloads, providing a powerful platform for European manufacturers to develop and deploy AI-driven robots. NVIDIA's Isaac GR00T N1.5, an open foundation model for humanoid robot reasoning and skills, is now available, further empowering developers to create adaptable and instruction-following robots. European robotics companies are already embracing NVIDIA's technologies. Companies such as Agile Robots, Humanoid, Neura Robotics, Universal Robots, Vorwerk and Wandelbots are showcasing AI-driven robots powered by NVIDIA's platform. NVIDIA is also releasing new models and tools, including NVIDIA Halos, a safety system designed to unify hardware, AI models, software, tools, and services, to promote safety across the entire development lifecycle of AI-driven robots. By addressing both the performance and safety aspects of robotics, NVIDIA is positioning itself as a key player in the future of AI-powered automation. Recommended read:
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@quantumcomputingreport.com
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thequantuminsider.com
, Quantum Computing Report
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The quantum computing industry is experiencing a surge in activity, marked by significant acquisitions and technological advancements. IonQ has announced its intent to acquire UK-based Oxford Ionics for $1.075 billion in stock and cash, uniting two leaders in trapped-ion quantum computing. This deal aims to accelerate the development of scalable and reliable quantum systems, targeting 256 high-fidelity qubits by 2026 and over 10,000 physical qubits by 2027. The acquisition combines IonQ's quantum computing stack with Oxford Ionics' semiconductor-compatible ion-trap technology, strengthening IonQ's technical capabilities and expanding its European presence. CEO of IonQ, Niccolo de Masi, highlighted the strategic importance of this acquisition, uniting talent from across the world to become the world’s best quantum computing, quantum communication and quantum networking ecosystem.
Recent advancements also include the activation of Europe’s first room-temperature quantum accelerator by Fraunhofer IAF, featuring Quantum Brilliance’s diamond-based QB-QDK2.0 system. This system utilizes nitrogen-vacancy (NV) centers and operates without cryogenic requirements, seamlessly integrating into existing high-performance computing environments. It's co-located with classical processors and NVIDIA GPUs to support hybrid quantum-classical workloads. Moreover, IBM has announced plans to build the world’s first large-scale, error-corrected quantum computer named Starling, aiming for completion by 2028 and cloud availability by 2029. IBM claims it has cracked the code for quantum error correction, moving from science to engineering. Further bolstering the industry's growth, collaborative projects are demonstrating the potential of quantum computing in various applications. IonQ, in partnership with AstraZeneca, AWS, and NVIDIA, has showcased a quantum-accelerated drug discovery workflow that drastically reduces simulation time for key pharmaceutical reactions. Their hybrid system, integrating IonQ’s Forte quantum processor with NVIDIA CUDA-Q and AWS infrastructure, achieved over a 20-fold improvement in time-to-solution for the Suzuki-Miyaura reaction. Additionally, the Karnataka State Cabinet has approved the second phase of the Quantum Research Park at the Indian Institute of Science (IISc) in Bengaluru, allocating ₹48 crore ($5.595 million USD) to expand the state’s quantum technology infrastructure and foster collaboration between academia, startups, and industry. Recommended read:
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Joey Snow@Microsoft Security Blog
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Microsoft Security Blog
, www.microsoft.com
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Microsoft is significantly expanding its AI capabilities across various sectors, with innovations impacting cloud services, business applications, and even education. CEO Satya Nadella revealed that Microsoft's AI model performance is "doubling every six months," driven by advancements in pre-training, inference, and system design. Microsoft is also betting on Musk’s Grok AI to Challenge OpenAI’s Dominance by planning to host Grok AI on Azure, potentially providing developers with more options for building AI applications. These advancements are designed to accelerate AI innovation and business transformation for organizations.
The company's Dynamics 365 and Power Platform are receiving substantial updates with the 2025 release wave 1, integrating AI-driven Copilot and agent capabilities to enhance business processes and customer engagement. These new features will empower the workforce to automate tasks across sales, service, finance, and supply chain functions. Microsoft is also launching pre-built agents for Dynamics 365, accelerating time to value for businesses looking to leverage AI in their operations. Microsoft 365 Copilot is being implemented into education to enhance learning. Copilot Chat is being used for personalized student support and instructor assistance. Security remains a key priority, with Microsoft sharing secure coding tips from experts at Microsoft Build. These tips, including securing AI from the start and locking down data with Purview APIs, are designed to help developers build safer applications. With AI playing a bigger role, secure coding is now a necessity. Microsoft is releasing a set of Purview APIs (+SDK) that will allow partners and customers to integrate their custom AI apps with the Microsoft Purview ecosystem for enterprise grade Data Security and Compliance outcomes. Recommended read:
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@about.fb.com
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about.fb.com
, techxplore.com
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Meta has launched the Meta AI app, a standalone AI assistant designed to compete with ChatGPT. This marks Meta's initial step in building a more personalized AI experience for its users. The app is built with Llama 4, a model Meta touts as more cost-efficient than its competitors. Users can access Meta AI through voice conversations and interactions will be personalized over time as the AI learns user preferences and contexts across Meta's various apps.
The Meta AI app includes a Discover feed, enabling users to share and explore how others are utilizing AI. It also replaces Meta View as the companion app for Ray-Ban Meta smart glasses, allowing for seamless conversations across glasses, mobile app, and desktop interfaces. According to Meta CEO Mark Zuckerberg, the app is designed to be a personal AI, starting with basic context about user interests and evolving to incorporate more comprehensive knowledge from across Meta's platforms. With the introduction of the Meta AI app, Meta aims to provide a direct path to its generative AI models for its users, similar to the approach taken by OpenAI with ChatGPT. The release comes as OpenAI stands as a leader of straight-to-user AI through its ChatGPT assistant that is regularly updated with new capabilities. Zuckerberg noted that a billion people are already using Meta AI across Meta's apps. Recommended read:
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@blogs.microsoft.com
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Microsoft is aggressively promoting agentic AI as a key driver for business transformation, emphasizing its potential to unlock greater value for customers. Agentic AI, with its autonomous capabilities, combined with copilots and human ambition, is believed to offer real AI differentiation. Microsoft's vision involves embedding AI directly into business processes, enabling organizations to achieve more by leveraging the power of intelligent agents acting on their behalf. Judson Althoff, Executive Vice President and Chief Commercial Officer at Microsoft, highlighted the rapid growth of agentic AI and its crucial role in accelerating AI transformation for businesses. The recent introduction of Microsoft 365 Copilot further underscores this commitment to making AI accessible and beneficial to all.
Recent updates include the release of a comprehensive guide to failure modes in agentic AI systems by Microsoft's AI Red Team (AIRT). This guide aims to help practitioners design and maintain resilient agentic systems by addressing potential security and safety challenges. The guide categorizes failure modes across two dimensions: security and safety, each comprising both novel and existing types. Novel security failures include agent compromise, agent injection, and agent flow manipulation, while novel safety failures cover intra-agent Responsible AI concerns and biases in resource allocation. By providing a structured analysis of these failure modes, Microsoft seeks to foster the responsible development and deployment of agentic AI technologies. In addition to agentic AI, Microsoft is also urging the U.S. and its allies to double down on quantum computing investments to maintain technological leadership amid growing global competition. Microsoft President Brad Smith warned that the U.S. risks falling behind China in the quantum race unless it strengthens investment, workforce development, and supply chain security. Smith advocates for expanding federal research funding, boosting quantum talent development, and shoring up domestic quantum manufacturing. He emphasized that quantum computing is transitioning from theory to practice, with transformative potential for science, medicine, energy, and national security. Recommended read:
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@developer.nvidia.com
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NVIDIA Technical Blog
, Dremio
AI is rapidly transforming industries and professions, emerging as a key driver of innovation across various sectors. From inspiring artists to revolutionizing industrial processes, AI's influence is undeniable. This technology is not just about automation; it's about fostering creativity, enabling new forms of expression, and streamlining complex operations. The integration of AI into different mediums is shortening the distance between imagination and reality.
Artists like Alexander Reben are leveraging AI and robotics to create novel forms of art. Reben's work, involving large metallic sculptures, is brought to life by robotic arms from Machina Labs, a startup in the NVIDIA Inception program. These AI-powered robotic arms can quickly iterate and create customized prototype parts. The same robots used to sculpt art are also used by Machina Labs' customers to carve bespoke parts for various industries, showcasing the versatility of AI in both creative and industrial applications. The integration of AI into industrial processes, like those at Machina Labs, involves advanced AI and accelerated computing. Sensors constantly scan materials, creating 3D models that are fed into simulation frameworks like NVIDIA Warp. This allows robotic arms to make precise, real-time adjustments, ensuring the final product meets the customer's exact specifications. This process dramatically reduces the cost and time associated with creating precisely tooled parts. Recommended read:
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@news.microsoft.com
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news.microsoft.com
, The Microsoft Cloud Blog
Microsoft is aggressively expanding its AI capabilities across various sectors, introducing new AI agents designed to enhance productivity and security. Recently unveiled AI agents for Microsoft 365 Copilot, such as Researcher and Analyst, are designed to help users with complex research tasks and data analysis. Researcher can build detailed strategies, identify opportunities, and create comprehensive reports by integrating data from internal and external sources. Analyst can forecast demand and visualize customer purchasing patterns, functioning like a virtual data scientist.
Microsoft is also focused on defending against AI-enhanced cyber threats and enhancing cybersecurity measures. New AI agents within Microsoft Security Copilot and Microsoft Purview are designed to automate tasks related to phishing, data security, and identity management. For instance, a phishing triage agent can handle routine phishing alerts, allowing human cybersecurity teams to focus on more complex threats. These advancements come at a time when AI is lowering the barrier for cybercrime, with threat actors using AI tools to create convincing social engineering lures and fraudulent websites. In addition to AI advancements, Microsoft is also making strides in quantum computing, moving it from a futuristic concept to practical applications. Quantum computing is currently being used to optimize finance, discover new drugs, secure networks, and build better batteries. Furthering its AI capabilities, Microsoft has launched "Computer Use" for Copilot Studio as an early research preview, which allows AI agents to interact directly with websites and desktop applications, enabling automation even when there is no API available. Microsoft also recently introduced "Draft with Copilot" for Copilot Studio, which will help users write or rewrite prompts using Copilot to produce better outcomes, with Copilot also able to generate sample test data. Recommended read:
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