NJIT partners with NJ AI Hub for AI research and education

As more companies look to adopt AI as a horizontal capability, not just a vertical silo, Baltimore may well be ahead of the curve. It’s building the academic, civic and workforce infrastructure to make AI work for real-world businesses.” What does it take to build a workforce ready for AI? In Maryland, it means connecting schools, businesses, and communities to make sure opportunity reaches everyone. Proud to see our approach highlighted in Area Development. ⬇️ https://ow.ly/v3q250X2p35

Maryland's PR program is firing on all cylinders! Recently we worked with Area Development to shine a light on Maryland's AI-ready workforce.

Open Source AI Week — How Developers and Contributors Are Advancing AI InnovationOpen Source AI Week kicks off on Monday with a series of hackathons, workshops and meetups spotlighting the latest advances in AI, machine learning and open-source innovation. The event brings together leading organizations, researchers and open-source communities to share knowledge, collaborate on tools and explore how openness accelerates AI development. NVIDIA continues to expand access Read Article https://lnkd.in/eFMUCkPH

The DataSphere Lab @ McGill University is where data meets impact. Launched in 2023, the Lab connects organizations with McGill students who use analytics, machine learning, and AI to solve real-world challenges. Yash Sethi, MMA, M.Sc. (MMA’25) helped L’Oréal optimize customer service through predictive models, while Yash Joshi (MMA’24) developed a generative AI solution for the ALDO Group that led to a full-time role. Founded by Shoeb Hosain, the Lab bridges academia and industry through paid projects that drive innovation across sectors. https://lnkd.in/e9eivwZC

Complete College America is excited to welcome Riipen's Mara "Red" Woody, Ed.D., City Colleges of Chicago's Mark Potter and Axim Collaborative's Dudney Sylla to NEXT: The 2025 CCA Annual Convening in Baltimore, MD, November 17-19. The 'Scaling AI Readiness: Building Infrastructure for Universal Access to the Future of Work' session will introduce the AI Readiness Consortium, an initiative led by Complete College America and Riipen, aimed at implementing scalable, employer-embedded work-based learning experiences focused on AI and emerging technologies. It unites institutions and industry to build scalable models that prepare underserved learners for the future of work. Register today: https://lnkd.in/e3MqhDvm

🔍 Strategic Context: AI in Science & ERA_FABRIC The strategy aligns closely with the ERA_FABRIC project's mission to strengthen the European Research Area by: ↗️ Reducing fragmentation in research efforts. ↗️ Enhancing coordination across Member States. ↗️ Promoting excellence, openness, and inclusiveness in R&I. AI is positioned as a transformative enabler for scientific discovery, and the strategy proposes RAISE (Resource for AI Science in Europe) as a flagship initiative to integrate AI into the European R&I ecosystem. 🧠 RAISE: A Virtual Institute for AI in Science will: 🚀 Pool resources: Talent, compute, data, and funding. 🚀 Coordinate efforts: Across disciplines, Member States, and sectors. 🚀 Support excellence: Via Thematic Networks of Excellence and Frontier AI Labs. 🚀 Promote inclusivity: Through fellowships, mobility schemes, and training. This directly supports ERA_FABRIC’s goals of interoperability, openness, and excellence in research infrastructures. 🧩 Key Ecosystem Components 1️⃣ Excellence & Talent 👍 Doctoral Networks and training programs to build AI literacy across disciplines. 👍 Living Guidelines for responsible use of generative AI in research. 👍 JRC Scientific AI Hub to monitor and evaluate AI models. 2️⃣ Compute Infrastructure 👍 AI Factories and AI Gigafactories to provide scalable, public compute resources. 👍 Integration with EuroHPC JU and prioritization for EU-funded projects. 3️⃣ Data Ecosystem 👍 Linked to EOSC and other Common European Data Spaces. 👍 Data Labs within AI Factories to clean, enrich, and federate datasets. 👍 Support for Open Science and FAIR data principles. 4️⃣ Funding & Coordination 👍 Horizon Europe investments (EUR 8B+ since 2021, with plans to double AI funding by 2028). 👍 Coordination with Member States under ERA governance. 👍 Monitoring via KPIs (e.g., publications, models, datasets). 🌍 ERA Governance & Policy Alignment The strategy is embedded within the ERA Policy Agenda 2025-2027, supporting: 👉 ERA Action on AI in Science. 👉 Monitoring mechanisms for uptake and impact. 👉 Alignment with national strategies and funding agendas. It also complements the Apply AI Strategy and the AI Continent Action Plan, ensuring coherence across industrial, scientific, and societal AI applications. 🤝 Collaboration & International Engagement Private sector: Startups, scaleups, and industry partners are encouraged to co-invest and co-develop. International cooperation: Built on EU values, strategic autonomy, and global standards. ERA_FABRIC relevance: Supports cross-border collaboration and shared infrastructure. More: https://lnkd.in/dtxAw7Bm. #AIinScience #RAISE #ERA_FABRIC #HorizonEurope #ResearchInnovation #DigitalEurope #OpenScience #TrustworthyAI #SciencePolicy #EuropeanCommission

**Former OpenAI and DeepMind Researchers Raise $300M to Automate Science** In a groundbreaking move that highlights the intersection of AI and scientific advancement, a team of former researchers from OpenAI and DeepMind has successfully secured a staggering **$300 million** in funding to automate the scientific process. 🚀 This monumental investment signifies a major shift in how research is conducted, paving the way for enhanced efficiency and accuracy. Why are we excited about this? Traditional scientific research is often slow and resource-intensive. By automating various aspects—from hypothesis generation to data analysis—the potential to **accelerate discoveries** is immense. According to a study by McKinsey, the application of AI in research could add **up to $6 trillion** to the global economy by 2030. 📈 With visionary leaders at the helm, this initiative aims to streamline complex processes and reduce the barriers to discovery, enabling scientists to focus on innovation rather than mundane tasks. As we embrace a future driven by AI, one thing is clear: the era of automated science is upon us! 🧬 Stay tuned as we witness how this groundbreaking funding catalyzes unprecedented advancements in research!

Generative AI Summit returns to Washington D.C. on January 29, 2026, and it's evolved into something remarkable. Last year, 250+ AI engineers and technical leaders gathered to solve real problems. Not theory. Not hype. Actual architectures that scale. What makes this summit different? You'll walk away with: 📊 Live benchmarks from teams at OpenAI, Microsoft, and DeepSeek who are running inference at scale 🔧 Proven workflows for LLM evaluation, fine-tuning, and continuous deployment 🤝 Connections with builders tackling the same GPU optimization and cost challenges you face The speakers lineup reads like a who's who of applied AI: Katrina Mulligan from OpenAI's National Security team, Paula Osborn leading AI initiatives at the U.S. Department of State, and Vivan A. directing AI research at Microsoft. But here's what matters most: every session focuses on what's working now. Real implementations. Real results. Real lessons from the field. 🔗 Find out more: https://lnkd.in/dGsZ6itE

Women leaders in STEM, machine learning, and data science can secure specialized mentorship and technical infrastructure to advance their innovative AI projects. This pioneering initiative helps women-led organizations turn AI solutions into tangible, scalable impacts with funding up to $57,000. Click the link for details: 👇 https://lnkd.in/e2_QjHsQ

The Generative AI Summit returns to Washington D.C. on January 29, 2026, and it's evolved into something remarkable. Last year, 250+ AI engineers and technical leaders gathered to solve real problems. Not theory. Not hype. Actual architectures that scale. What makes this summit different? You'll walk away with: 📊 Live benchmarks from teams at OpenAI, Microsoft, and DeepSeek who are running inference at scale 🔧 Proven workflows for LLM evaluation, fine-tuning, and continuous deployment 🤝 Connections with builders tackling the same GPU optimization and cost challenges you face The speakers lineup reads like a who's who of applied AI: Katrina Mulligan from OpenAI's National Security team, Paula Osborn leading AI initiatives at the U.S. Department of State, and Vivan A. directing AI research at Microsoft. But here's what matters most: every session focuses on what's working now. Real implementations. Real results. Real lessons from the field. 🔗 Find out more: https://lnkd.in/eC49RWTr