AI Research
Network and cloud implications of agentic AI

The chain analogy is critical here. Realistic uses of AI agents will require core database access; what can possibly make an AI business case that isn’t tied to a company’s critical data? The four critical elements of these applications—the agent, the MCP server, the tools, and the data— are all dragged along with each other, and traffic on the network is the linkage in the chain.
How much traffic is generated? Here, enterprises had another surprise. Enterprises told me that their initial view of their AI hosting was an “AI cluster” with a casual data link to their main data center network. With AI agents, they now see smaller AI servers actually installed within their primary data centers, and all the traffic AI creates, within the model and to and from it, now flows on the data center network.
Vendors who told enterprises that AI networking would have a profound impact are proving correct. You can run a query or perform a task with an agent and have that task parse an entire database of thousands or millions of records. Someone not aware of what an agent application implies in terms of data usage can easily create as much traffic as a whole week’s normal access-and-update would create. Enough, they say, to impact network capacity and the QoE of other applications. And, enterprises remind us, if that traffic crosses in/out of the cloud, the cloud costs could skyrocket. About a third of the enterprises said that issues with AI agents generated enough traffic to create local congestion on the network or a blip in cloud costs large enough to trigger a financial review.
MCP tool use by agents is also a major security and governance headache. Enterprises point out that MCP standards haven’t always required strong authentication, and they also say that since a tool can actually update things, it’s possible for a malformed (or hacked) tool to contaminate, fabricate, or delete data. To avoid this, enterprises recommend that AI agents not have access to tools that can update data or take action in the real world, unless there’s considerable oversight into tool and agent design to ensure the agents don’t go rogue.
Review and design are the key to controlling the other issues, too. Traffic issues can be mitigated by careful placement of AI agent models. Since AI agents are less demanding than the huge LLMs used for online generative AI, so you can distribute the agent hosts, even rack them with traditional servers, including the servers that control the databases the agents will use. It does mean, say a majority of enterprises, that the data center network topology and capacity should be reviewed to ensure it can handle the additional traffic AI will generate. None of the enterprises thought AI agents would require InfiniBand versus Ethernet, though, which is good news for enterprise data center network planners—and vendors.
Enterprises told me that their initial view of their AI hosting was an “AI cluster” with a casual data link to their main data center network. With AI agents, they now see smaller AI servers actually installed within their primary data centers, and all the traffic AI creates, within the model and to and from it, now flows on the data center network. So vendors who told enterprises that AI networking would have a profound impact are proving correct.
AI Research
Pentagon research official wants to have AI on every desktop in 6 to 9 months

The Pentagon is angling to introduce artificial intelligence across its workforce within nine months following the reorganization of its key AI office.
Emil Michael, under secretary of defense for research and engineering at the Department of Defense, talked about the agency’s plans for introducing AI to its operations as it continues its modernization journey.
“We want to have an AI capability on every desktop — 3 million desktops — in six or nine months,” Michael said during a Politico event on Tuesday. “We want to have it focus on applications for corporate use cases like efficiency, like you would use in your own company … for intelligence and for warfighting.”
This announcement follows the recent shakeups and restructuring of the Pentagon’s main artificial intelligence office. A senior defense official said the Chief Digital and Artificial Intelligence Office will serve as a new addition to the department’s research portfolio.
Michael also said he is “excited” about the restructured CDAO, adding that its new role will pivot to a focus on research that is similar to the Defense Advanced Research Projects Agency and Missile Defense Agency. This change is intended to enhance research and engineering priorities that will help advance AI for use by the armed forces and not take agency focus away from AI deployment and innovation.
“To add AI to that portfolio means it gets a lot of muscle to it,” he said. “So I’m spending at least a third of my time –– maybe half –– rethinking how the AI deployment strategy is going to be at DOD.”
Applications coming out of the CDAO and related agencies will then be tailored to corporate workloads, such as efficiency-related work, according to Michael, along with intelligence and warfighting needs.
The Pentagon first stood up the CDAO and brought on its first chief digital and artificial intelligence officer in 2022 to advance the agency’s AI efforts.
The restructuring of the CDAO this year garnered attention due to its pivotal role in investigating the defense applications of emerging technologies and defense acquisition activities. Job cuts within the office added another layer of concern, with reports estimating a 60% reduction in the CDAO workforce.
AI Research
Pentagon CTO wants AI on every desktop in 6 to 9 months

The Pentagon aims to get AI tools to its entire workforce next year, the department’s chief technical officer said one month after being given control of its main AI office.
“We want to have an AI capability on every desktop — 3 million desktops — in six or nine months,” Emil Michael, defense undersecretary for research and engineering, said at a Politico event on Tuesday. “We want to have it focus on applications for corporate use cases like efficiency, like you would use in your own company…for intelligence and for warfighting.”
Four weeks ago, the Chief Digital and Artificial Intelligence Office was demoted from reporting to Deputy Defense Secretary Stephen Feinberg to Michael, a subordinate.
Michael said CDAO will become a research body like the Defense Advanced Research Projects Agency and Missile Defense Agency. He said the change is meant to boost research and engineering into AI for the military, but not reduce its efforts to deploy AI and make innovations.
“To add AI to that portfolio means it gets a lot of muscle to it,” he said. “So I’m spending at least a third of my time—maybe half—rethinking how the AI-deployment strategy is going to be at DOD.”
He said applications would emerge from the CDAO and related agencies that will be tailored to corporate workloads.
The Pentagon created the CDAO in 2022 to advance the agency’s AI efforts and look into defense applications for emerging technologies. The office’s restructuring earlier this year garnered attention. Job cuts within the office added another layer of concern, with reports estimating a 60% reduction in the CDAO workforce.
AI Research
Panelists Will Question Who Controls AI | ACS CC News
Artificial intelligence (AI) has become one of the fastest-growing technologies in the world today. In many industries, individuals and organizations are racing to better understand AI and incorporate it into their work. Surgery is no exception, and that is why Clinical Congress 2025 has made AI one of the six themes of its Opening Day Thematic Sessions.
The first full day of the conference, Sunday, October 5, will include two back-to-back Panel Sessions on AI. The first session, “Using ChatGPT and AI for Beginners” (PS104), offers a foundation for surgeons not yet well versed in AI. The second, “AI: Who Is In Control?” (PS 110), will offer insights into the potential upsides and drawbacks of AI use, as well as its limitations and possible future applications, so that surgeons can involve this technology in their clinical care safely and effectively.
“AI: Who Is In Control?” will be moderated by Anna N. Miller, MD, FACS, an orthopaedic surgeon at Dartmouth Hitchcock Medical Center in Lebanon, New Hampshire, and Gabriel Brat, MD, MPH, MSc, FACS, a trauma and acute care surgeon at Beth Israel Deaconess Medical Center and an assistant professor at Harvard Medical School, both in Boston, Massachusetts.
In an interview, Dr. Brat shared his view that the use of AI is not likely to replace surgeons or decrease the need for surgical skills or decision-making. “It’s not an algorithm that’s going to be throwing the stitch. It’s still the surgeon.”
Nonetheless, he said that the starting presumption of the session is that AI is likely to be highly transformative to the profession over time.
“Once it has significant uptake, it’ll really change elements of how we think about surgery,” he said, including creating meaningful opportunities for improvements.
The key question of the session, therefore, is not whether to engage with AI, but to do so in ways that ensure the best outcomes: “We as surgeons need to have a role in defining how to do so safely and effectively. Otherwise, people will start to use these tools, and we will be swept along with a movement as opposed to controlling it.”
To that end, Dr. Brat explained that the session will offer “a really strong translational focus by people who have been in the trenches working with these technologies.” He and Dr. Miller have specifically chosen an “all-star panel” designed to represent academia, healthcare associations, and industry.
The panelists include Rachael A. Callcut, MD, MSPH, FACS, who is the division chief of trauma, acute care surgery and surgical critical care as well as associate dean of data science and innovation at the University of California-Davis Health in Sacramento, California. She will share the perspective on AI from academic surgery.
Genevieve Melton-Meaux, MD, PhD, FACS, FACMI, the inaugural ACS Chief Health Informatics Officer, will present on AI usage in healthcare associations. She also is a colorectal surgeon and the senior associate dean for health informatics and data science at the University of Minnesota and chief health informatics and AI officer for Fairview Health Services, both in Minneapolis.
Finally, Khan Siddiqui, MD, a radiologist and serial entrepreneur who is the cofounder, chairman, and CEO of a company called HOPPR AI, will present the view from industry. HOPPR AI is a for-profit company focused on building AI apps for medical imaging. As a radiologist, Dr. Siddiqui represents a medical specialty that is thought to likely undergo sweeping change as AI is incorporated into image-reading and diagnosis. His comments will focus on professional insights relevant to surgeons.
Their presentations will provide insights on general usage of AI at present, as well as predictions on what the landscape for AI in healthcare will look like in approximately 5 years. The session will include advice on what approaches to AI may be most effective for surgeons interested in ensuring positive outcomes and avoiding negative ones.
Additional information on AI usage pervades Clinical Congress 2025. In addition to various sessions that will comment on AI throughout the 4 days of the conference, various researchers will present studies that involve AI in their methods, starting presumptions, and/or potential applications to practice.
Access the Interactive Program Planner for more details about Clinical Congress 2025 sessions.
-
Business3 weeks ago
The Guardian view on Trump and the Fed: independence is no substitute for accountability | Editorial
-
Tools & Platforms1 month ago
Building Trust in Military AI Starts with Opening the Black Box – War on the Rocks
-
Ethics & Policy2 months ago
SDAIA Supports Saudi Arabia’s Leadership in Shaping Global AI Ethics, Policy, and Research – وكالة الأنباء السعودية
-
Events & Conferences4 months ago
Journey to 1000 models: Scaling Instagram’s recommendation system
-
Jobs & Careers3 months ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Podcasts & Talks2 months ago
Happy 4th of July! 🎆 Made with Veo 3 in Gemini
-
Education3 months ago
VEX Robotics launches AI-powered classroom robotics system
-
Education2 months ago
Macron says UK and France have duty to tackle illegal migration ‘with humanity, solidarity and firmness’ – UK politics live | Politics
-
Podcasts & Talks2 months ago
OpenAI 🤝 @teamganassi
-
Funding & Business3 months ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries