Artificial Intelligence News for the Week of January 9; Updates from CoreWeave, Exabeam, Lenovo & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of January 9, 2026.
Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.
For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.
Artificial Intelligence News for the Week of January 9, 2026
AgileRL emerges with 7.5 million dollars to speed up reinforcement learning by 10x
AgileRL raised 7.5 million dollars in seed funding to commercialize its open‑source reinforcement learning tooling, which aims to cut RL training times by up to 10× via algorithmic optimizations and efficient infrastructure use. The company is targeting use cases like robotics, trading, and industrial control, offering low‑code workflows and integrations with modern compute stacks to make RL more accessible to enterprises.
AMD introduces Ryzen AI embedded processor portfolio
AMD launched a Ryzen AI Embedded lineup that brings integrated NPUs and Ryzen‑class CPU performance to edge and embedded systems such as industrial PCs, robotics, and smart cameras. The processors are designed for on‑device AI inference with strong performance‑per‑watt, extended temperature and reliability specs, and long‑lifecycle support for OEMs.
Read more → https://www.hpcwire.com/off-the-wire/amd-introduces-ryzen-ai-embedded-processor-portfolio/
Berkeley Lab evaluates generative AI models for filling scientific imaging gaps
Researchers at Lawrence Berkeley National Laboratory evaluated multiple generative models, including diffusion and GAN‑based approaches, to fill in missing or corrupted regions in scientific imaging data. Their work benchmarks reconstruction fidelity and artifacts on real microscopy and materials‑science datasets, highlighting both the promise and the risks of using generative AI for scientific inference and suggesting best practices for uncertainty estimation and validation.
CIQ launches Fuzzball Service Endpoints for unified AI training and inference
CIQ introduced Fuzzball Service Endpoints to expose AI training and inference workloads as unified services across HPC, cloud, and on‑prem clusters. This lets teams run large‑scale training jobs and then deploy inference with the same workflow, using Kubernetes‑style abstractions and policy controls on top of traditional HPC schedulers and heterogeneous hardware.
CoreWeave Extends Its Cloud Platform With NVIDIA Rubin Platform
CoreWeave will be among the first cloud providers to deploy NVIDIA’s Rubin platform in the second half of 2026, integrating it into its Mission Control fabric to support massive training and inference workloads. The Rubin integration targets demanding use cases such as agentic AI, drug discovery, genomics, climate modeling, and fusion research, giving customers higher performance and flexibility while offloading infrastructure complexity to CoreWeave’s specialized AI cloud.
Read more → https://www.coreweave.com/news/coreweave-extends-its-cloud-platform-with-nvidia-rubin-platform
Exabeam Focuses on Security for Autonomous AI Agents
Exabeam outlined new capabilities and roadmap elements aimed at monitoring, detecting, and responding to threats stemming from autonomous AI agents operating in enterprise environments. By extending UEBA and SIEM analytics to AI agents as first‑class identities, Exabeam aims to catch malicious or misconfigured agent behavior before it leads to data loss or unauthorized actions.
Read more → https://www.techzine.eu/news/security/137728/exabeam-focuses-on-security-for-autonomous-ai-agents/
Gemini 3 Now Available in Snowflake Cortex AI
Snowflake added Google’s Gemini 3 models to Cortex AI, giving customers access to state‑of‑the‑art multimodal and reasoning capabilities directly inside the Snowflake AI Data Cloud. Organizations can now pair Gemini 3 with governed data in Snowflake to build retrieval‑augmented generation, agentic workflows, and domain‑specific copilots without exporting sensitive data.
Read more → https://www.snowflake.com/en/blog/gemini-3-snowflake-cortex-ai/
Hupside Introduces Original Intelligence and the First Measurable Metric of Human Originality
Hupside launched a new category called Original Intelligence (OI) and an Original Intelligence Quotient (OIQ) metric that quantify the uniquely human ability to generate ideas beyond AI’s homogenized patterns. Debuting at CES 2026 with the OIQ Challenge and National Original Intelligence Week, the company argues that originality—measured through its patent‑pending assessment—is now the key competitive advantage in an AI-saturated world where many organizations see little ROI from generative tools.
Lenovo Revolutionizes Real‑Time Enterprise AI With New Inferencing Servers
Lenovo unveiled new ThinkSystem inferencing servers built for low‑latency, high‑throughput real‑time AI, leveraging the latest GPUs and networking to serve production models at scale. The systems target use cases like fraud detection, recommendation engines, and conversational AI, and are designed to slot into Lenovo’s broader hybrid AI infrastructure portfolio.
NIST launches AI centers for manufacturing and critical infrastructure
NIST is investing 20 million dollars to create two AI Economic Security Centers, one focused on U.S. manufacturing productivity and the other on securing critical infrastructure from cyberthreats. Operated in collaboration with MITRE, the centers will develop and evaluate AI “agents” to boost industrial efficiency, improve cybersecurity, and reduce reliance on insecure AI, with operations expected to ramp up in early 2026.
Pitt Launches Hub for AI and Data Science Leadership (HAIL)
The University of Pittsburgh launched the Hub for AI and Data Science Leadership (HAIL) to unify AI and data science activity across teaching, research, and operations and expand its Responsible Data Science initiative. HAIL will convene faculty, students, and practitioners across disciplines, share best practices, and promote responsible, human‑centered AI while supporting career‑relevant skills development.
Read more → https://www.hpcwire.com/bigdatawire/this-just-in/pitt-launches-hub-for-ai-and-data-science-leadership/
University of Southern Denmark launches energy‑efficient AI and HPC data center
The University of Southern Denmark opened a new AI and HPC data center built around liquid‑cooled infrastructure and renewable‑aligned power to minimize energy use and emissions. The facility will support research spanning AI, climate, and engineering, and is designed as a testbed for sustainable supercomputing practices in Europe.
Expert Insights
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI
Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.
Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.
Solutions Review is Getting Set to Host Impetus and Forrester Research for Exclusive Session ‘The Next Generation of Observability in the Era of Agentic AI’ on January 28
In this fireside chat, an analyst-led discussion will explore how observability has evolved, whether today’s tools are ready for these new demands, and why observability is becoming essential in the agentic AI era. The session will also highlight how solutions like Impetus Prism help organizations bring observability and cost intelligence together as an enterprise capability.
Solutions Review is Getting Set to Host Promethium and BARC for Exclusive Session ‘Break the Metadata Bottleneck to Drive Agentic AI and Contextual Insights’ on January 29
This webinar examines three structural challenges behind that bottleneck: distributed datasets, heterogeneous environments, and rising expectations for true self-service analytics. We then outline architectural principles that dynamically integrate data, metadata, and analytics to guide wide-ranging business decisions.
Watch the 7th annual Insight Jam LIVE!: Human Development Focus & the Impact of AI Now On-Demand
This year’s show is the first since Insight Jam’s YouTube channel crossed 1 million subscribers; a showcase of how network effect works. Every keynote, panel, and highlight will be streamed live and preserved for on-demand viewing — amplifying the reach of every speaker and extending the impact of every insight in an evergreen way.
Insight Jam LIVE! The Human Impact: AI Anxiety is Real – Communities of Practice Can Help
When educators learn AI in isolation, they struggle. But when they come together in communities of practice, that’s where the magic happens. This expert panel explores how AI anxiety drives people to learn alone, why accountability and human connection can’t be replaced by chatbots, and how the tech industry must design AI products that foster genuine community rather than deepen our digital isolation.
Insight Jam LIVE! The Human Impact: How to Assess Students When AI Can Answer Everything
How do you assess human thinking when AI can generate any answer? Our panel of educators share practical strategies for redesigning assessments. From impromptu quizzes that evaluate prompting skills to presentation-based evaluations that measure what AI can’t replicate: adaptability, emotional intelligence, and the ability to guide a room.
Solutions Review Expert Samir Sharma Publishes New Book: The Strategy Canvas: A Field Guide for Data & AI
The most significant problem in enterprise data and AI is not the technology; it’s the strategy-execution gap. The vast majority of data & AI initiatives fail to deliver measurable value because the Boardroom’s strategic vision cannot be translated into the day-to-day execution of technical teams. This strategic disconnect costs the global economy trillions in wasted effort, failed projects, and missed opportunities.
The Digital Analyst with John Santaferraro: Evidence-Based AI Governance: Beyond Marketing Claims Featuring Petar Tsankov
Discover why even perfect data quality doesn’t guarantee trustworthy AI, and what evidence-based governance means beyond marketing claims. Actual benchmarks, measurable results, and technical assessments instead of opinions. Learn why AI governance must be implemented in the tech stack, not on paper, and why it’s closer to cybersecurity than compliance documents.
Thought Leaders: The Strategy Execution Gap: Why 2026 Must be the Year of the “How,” Not Just the “What” by Samir Sharma
Over the last 25 years, I’ve sat with leaders across industries such as Retail, Banking, Insurance, Private Equity, and many others. Now the question is no longer “What can AI do?” The question is: “Why hasn’t our data & AI strategy moved the needle on our P&L yet?”
Thought Leaders: Agentic Data Management and Data Observability: Autonomous Agents Arrive Just in Time by Kevin Petrie
Data engineers struggle mightily to prepare and deliver data to voracious consumers that range from executives to line managers, analysts, data scientists, and of course AI agents. Given the scale and complexity of modern analytics initiatives, it’s no surprise that 69 percent of 131 respondents to a recent LinkedIn poll expect demand for data engineers to rise next year even as AI reduces the need for other software roles.
Contributor Series: The Significance of AI in Content and Human Strategy by Neil Patel
Thanks to AI, marketers and content teams can now work faster and more effectively than ever. Yet the role of human staff members has not been eclipsed. It has simply changed to account for human beings’ strengths and AIs’ limitations.
The Significance of AI in Content and Human Strategy by William Jepma
Organizations racing to implement AI face a problem that no technology upgrade can solve: they’re asking people to fundamentally reimagine who they are professionally while still measuring them against pre-AI metrics. This disconnect represents the real barrier to successful AI adoption, and addressing it requires leaders to abandon the assumption that they alone hold the key to success.
For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
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- Storage and Data Protection News for the Week of January 9; Updates from Infinidat, NVIDIA, ThreatLocker & More - January 9, 2026
