Chuck Brooks is the president of Brooks Consulting International and one of Executive Mosaic’s GovCon Experts.
The convergence of AI and quantum tech is creating a new frontier of innovation and risk.
This trend is evident from the White House’s FY27 research and development goals that put Artificial intelligence and quantum technologies at the center of the national agenda.
In May 2026, OpenAI released a new math result that sent shock waves throughout the world of mathematical research. A major unsolved problem called the “unit distance conjecture” had just been resolved by generative AI.
Since then, there has been a steady drumbeat of new results that either partially or completely leverage artificial intelligence to solve research-level mathematics problems. However, most new math results published in any given month are still generated by humans.
So where is this going? How good, and how quickly, will AI capabilities grow? Will most mathematical research be predominantly artificial intelligence? Or, as some mathematicians suggest, will AI combine with human ingenuity and other computer tools to create a golden age of mathematics?
What if the Higgs boson found in 2012 is not alone but is the only sibling we have encountered so far? Scientists at CERN discovered the particle that year, and it was a major discovery because it explained how other particles acquire mass. For a long time, scientists thought this was the final piece of the puzzle.
They have a framework called the Standard Model that describes the smallest particles in everything we see. This includes electrons in atoms and light particles called photons. However, this framework does not explain everything. It does not tell us about dark matter or why the universe has so much more matter than antimatter. It is like having a map that shows only half the world.
The discovery of the Higgs boson created new questions. Many physicists started wondering whether the Higgs we found is the only one of its kind. They began to ask whether there is a larger family of these particles hiding in the universe. If we find more members of this family, we might finally understand the parts of nature that the current framework misses.
A new Dolphin X remote access trojan claims to use an AI-powered profiling feature to score and rank infected users, helping cybercriminals identify which victims should be targeted first.
The malware was analyzed by Varonis Threat Labs researcher Daniel Kelley, who spotted it being advertised on a cybercrime forum by a vendor using the alias “Kontraktnik,” promoting it as an all-in-one remote access trojan.
According to Varonis, the operator panel lists 329 features across ten categories, including a credential-stealing feature that claims to target more than 300 applications.
Korean researchers have developed a hierarchical AI technology that autonomously plans even complex, long-horizon tasks. The development of this hierarchical task-planning AI technology, which reduces hallucinations and doubles the success rate, is expected to help robots and agents carry out long-term missions.
The Electronics and Telecommunications Research Institute (ETRI) developed the hierarchical task-planning artificial intelligence (AI) technology “ReAcTree,” which autonomously divides tasks requiring complex and lengthy procedures into subgoals and carries them out, and presented it at AAMAS 2026, one of the world’s premier conferences in the AI agent field.
This research achievement is regarded as an important technological advance that enables Large Language Models (LLM) to move beyond simply generating text, allowing robots and virtual agents to perform complex real-life tasks more reliably.
Korean researchers have developed a core technology that allows multimodal artificial intelligence (AI) to reliably retain existing knowledge while repeatedly learning new information.
Electronics and Telecommunications Research Institute (ETRI) announced that the “Continual and Compositional Knowledge Editing Technology (MemEIC),” jointly developed by a research team led by Director Lim Soo Jong of the Language Intelligence Research Section with Pohang University of Science and Technology and Sungkyunkwan University, was presented at NeurIPS 2025, an AI conference held in San Diego late last year.
The work is published on the arXiv preprint server.
“GIFT” is a new system that teaches vision-language generative AI models to produce accurate, computer-aided design programs that can be used to simulate and test 3D objects.
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Credit: Christine Daniloff, MIT; iStock.
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Researchers from Carnegie Mellon University’s School of Computer Science, the University of Pittsburgh School of Medicine and the University of Washington have shed new light on Alzheimer’s disease that could point to new directions for treatment.
In a paper published in Science, researchers from SCS’s Ray and Stephanie Lane Computational Biology Department, Pitt’s Department of Neurobiology and collaborating institutions show that 3D genome architecture is organized differently in certain brain cells from people with Alzheimer’s disease, uncovering a previously underexplored layer of the disease’s biology.
The research team linked genome folding to gene activity and brain tissue organization in Alzheimer’s disease. The team did this with single-cell technology, spatial mapping of brain tissue and a new deep-learning model.