Core Insights - NetraMark Holdings Inc. has announced the acceptance of its peer-reviewed paper on its AI platform, NetraAI, for publication in npj Digital Medicine, highlighting its advancements in clinical trial analytics [1][3] Group 1: Publication and Research Findings - The paper demonstrates how NetraAI utilizes explainable AI to identify patient subpopulations that enhance therapeutic responses in clinical trials, specifically using data from a Phase II ketamine trial for treatment-resistant depression [2][3] - The research was co-authored by experts from the National Institute of Mental Health and NetraMark, showcasing a collaborative effort in advancing AI applications in clinical settings [3] - The publication emphasizes the integration of advanced modeling techniques within NetraAI, which aims to improve clinical trial decision-making and reduce placebo effects [4] Group 2: Technology and Methodology - NetraAI is designed to differentiate between explainable and unexplainable patient subsets, addressing issues of overfitting that can lead to inaccurate insights in clinical trials [6] - The platform employs a novel topology-based algorithm that allows for effective segmentation of patient data, enhancing the accuracy of treatment efficacy assessments [7] - By focusing on smaller datasets, NetraAI aims to improve the chances of clinical trial success through better patient classification and treatment response predictions [6][7]

5 Ways AI Will Transform The Manager Role In 2026The leaders who succeed in the coming year won't be machine learning experts. They'll be the ones who grasp how AI transforms human work and can guide their teams through that shift with clarity, empathy and humility.Here are five ways AI will transform the role of manager in 2026. https://t.co/IUlDKo0CKD ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. https://t.co/X8z3SMqptRAvi Chawla (@_avichawla):If you need a video guide to Karpathy's nanochat, check out Stanford's CS336!It covers:- Tokenization- Resource Accounting- Pretraining- Finetuning (SFT/RLHF)- Overview of Key Architectures- Working with GPUs- Kernels and Tritons- Parallelism- Scaling Laws- Inference https://t.co/7oCl2Od1fO ...

Core Insights - Castellum, Inc. has been awarded multiple contracts under the Missile Defense Agency's SHIELD Multiple Award IDIQ contract vehicle, emphasizing its commitment to advanced defense solutions [1][3][4] - The contracts will enhance the capabilities of the U.S. military by providing innovative, AI-enabled technologies for multi-domain defense against various threats [2][4] Company Overview - Castellum, Inc. specializes in cybersecurity, electronic warfare, software engineering, and C5ISR services, primarily focused on federal government contracts [5] - The company operates through subsidiaries and joint ventures, enhancing its ability to deliver cutting-edge technology solutions [3][4] Contract Details - The awarded contracts will support the development of a multi-domain defense system capable of addressing threats from ballistic, hypersonic, and cruise missiles, as well as other advanced aerial attacks [1][2] - The initiative aims to ensure layered protection against diverse threats, including air, missile, space, cyber, and hybrid threats [1] Strategic Importance - The contracts are viewed as strategic wins for Castellum, reflecting the successful execution of its organic growth strategy and positioning the company to support the Department of War effectively [4] - The focus on rapid delivery and innovative capabilities is expected to enhance the readiness and defensive posture of the U.S. [2][4]

The leaders who succeed in the coming year won't be machine learning experts. They'll be the ones who grasp how AI transforms human work and can guide their teams through that shift with clarity, empathy and humility. Here are five ways AI will transform the role of manager in 2026.Read more: https://t.co/IUlDKo0CKD ...

The leaders who succeed in the coming year won't be machine learning experts. They'll be the ones who grasp how AI transforms human work and can guide their teams through that shift with clarity, empathy and humility. Here are five ways AI will transform the role of manager in 2026.Read more: https://t.co/IUlDKo0CKD ...

Market Overview - The Decision Intelligence Market was valued at USD 18.08 billion in 2025 and is projected to reach USD 74.23 billion by 2033, with a CAGR of 19.31% from 2026 to 2033 [1][12]. Growth Drivers - The market growth is driven by the increasing amount of data generated across industries, the rising adoption of AI and ML technologies, and the demand for real-time insights to support strategic decision-making [1]. - The transition to cloud-based solutions is enhancing the scalability and efficiency of decision intelligence tools, allowing businesses to manage large datasets and complex algorithms effectively [3]. Challenges - A significant barrier to the adoption of decision intelligence solutions is the shortage of skilled professionals in AI, machine learning, and advanced analytics, leading to a notable skills gap in the workforce [4]. Segmentation Analysis By Application - The decision automation segment holds the largest revenue share in 2025, utilizing AI and data to enhance decision-making across sectors [5]. - The decision support segment is expected to have the highest CAGR during the forecast period, leveraging organizational information systems for data analysis [5]. By Enterprise Type - Large enterprises dominated the market with a 74.5% share in 2025, driven by high consumer engagement and comprehensive data analysis [7]. - The Small & Medium Enterprises (SMEs) segment is anticipated to grow at the highest CAGR, recognizing the importance of data-driven decision-making [7]. By Industry - The BFSI segment led the market in 2025, benefiting from improved management of large transactional datasets [8]. - The IT & Telecom segment is projected to experience the highest CAGR, driven by the rise of data availability and the adoption of advanced technologies [8]. Regional Insights - North America held the largest revenue share of 46.2% in 2025, supported by technological advancements and investments from leading companies like IBM, Google, and Microsoft [9]. - The Asia Pacific region is expected to see strong growth due to increasing digitalization and advancements in analytical and AI technologies [9].

This founder was a pharmacist first. She was so frustrated by data entry and faxes, she quit to launch an AI startup.Eunice Qu's solution: Asepha, which uses machine learning to process handwritten prescriptions, verify codes, and handle paper faxes (yes, they still exist).Read more: https://t.co/5OqSp7jmnJ #ForbesUnder30 (Photo: Sebastian Nevols for Forbes) ...

AI Development & Application at Los Alamos National Laboratory - Los Alamos National Laboratory has been applying AI and ML for almost 70 years, evolving from early applications like Los Alamos chess to modern generative AI agents [2][3] - The laboratory is leveraging generative AI and agentic approaches to accelerate scientific discovery, particularly in areas like inertial confinement fusion (ICF) capsule design [4][5] - The laboratory emphasizes the importance of writing its own models and pushing the science of AI, while also recognizing the need for partnerships with commercial industry and academia [9][10] - Los Alamos National Laboratory is using AI to enhance its mission, including national security, by improving speed and efficiency in various tasks [8] Partnerships & Collaboration - Los Alamos National Laboratory actively seeks partnerships with commercial industry and academia to advance AI development and application [9][10] - The laboratory has established partnerships with the UC family of schools and frontier labs like OpenAI for collaborative research and development [12] - The laboratory emphasizes the importance of trust and shared responsibility in partnerships, particularly regarding the security and governance of AI tools and services [14][15] Governance & Security Considerations - The US government, including Los Alamos National Laboratory, is developing strategies and plans for AI implementation and governance, guided by OMB memorandums like M-25-21 and M-25-22 [15][26] - The laboratory highlights the critical need for robust cybersecurity measures, including compliance with standards like NIST 800-53 and FedRAMP, to protect sensitive data [21][22] - The laboratory emphasizes the importance of building AI systems with explanability, isolation, and governance in mind, particularly for applications with real-world impacts [31][32][35] - The laboratory requires software bills of materials and detailed information on open-source dependencies and patching plans from its service providers [36] Key Requirements for AI Service Providers - AI service providers should prioritize building for explanability to ensure transparency and accountability in decision-making [31] - AI service providers should build for isolation, considering deployment in environments with limited services, such as DoD Impact Level 5 [33][34] - AI service providers should build for governance, providing software bills of materials and detailed information on open-source dependencies and patching plans [35][36] - AI service providers should maintain speed in updating their federal offerings to align with commercial releases, addressing export compliance laws [37][38]

Group 1: AI Computing Power Shortage - Morgan Stanley analysts project a cumulative shortfall of 47 gigawatts of computing power through 2028, highlighting the need for data center infrastructure to support AI development [1] - The next phase of AI investing will focus on companies that can provide the necessary data center infrastructure rather than just those building GPUs [1] Group 2: Iren Limited's Business Model - Iren Limited, an Australian Bitcoin miner, has expanded its offerings to include next-generation data centers and large-scale GPU clusters for AI training and inference [2] - Iren signed a five-year lease with Microsoft for computing power, which Morgan Stanley views as a potentially powerful investment model [2] - The company recently entered a $9.7 billion deal with Microsoft for cloud computing services, utilizing Nvidia GPUs, and has an agreement with Dell Technologies to purchase $5.8 billion worth of GPUs and ancillary equipment [3] Group 3: Iren's Data Center Operations - Iren operates three data centers in Canada and one in Texas, with plans for a second data center in Texas to support the Microsoft deal [4] - The increasing demand for data center capacity has positively impacted Iren's stock, which is up nearly 355% this year despite a recent decline of 40% in the past month [4] Group 4: Valuation and Competitiveness - Iren's stock is considered affordable with a trailing price-to-earnings ratio of 25.2 and a forward P/E of 37.6, which is lower than Nvidia's [5] - Competitors like Nebius Group and CoreWeave, which also provide data center services, are not yet profitable, indicating Iren's competitive edge in the market [5]