• Leveraging Artificial Intelligence in Explosives, Narcotic Detection

    DHS S&T is applying emerging technologies in the development of artificial intelligence / machine learning technologies – and searching for ways to use these technologies to identify dangerous compounds, like those found in explosives and narcotics.

  • Enhancing Coastal Cities' Flood Resilience Through Smart City Technologies

    In the face of climate change, a suite of advanced technologies can be integrated into urban design to reduce the flood risk posed by rising sea levels, more intense rainfall events, and more powerful storm surges.

  • Does AI Enable and Enhance Biorisks?

    The diversity of the biorisk landscape highlights the need to clearly identify which scenarios and actors are of concern. It is important to consider AI-enhanced risk within the current biorisk landscape, in which both experts and non-experts can cause biological harm without the need for AI tools, thus highlighting the need for layered safeguards throughout the biorisk chain.

  • Generative AI and Weapons of Mass Destruction: Will AI Lead to Proliferation?

    Large Language Models (LLMs) caught popular attention in 2023 through their ability to generate text based on prompts entered by the user. Ian J. Stewart writes that “some have raised concerns about the ability of LLMs to contribute to nuclear, chemical and biological weapons proliferation (CBRN). Put simply, could a person learn enough through an interaction with an LLM to produce a weapon? And if so, would this differ from what the individual could learn by scouring the internet?”

  • New Nuclear Deflection Simulations Advance Planetary Defense Against Asteroid Threats

    As part of an effort to test different technologies to protect Earth from asteroids, a kinetic impactor was deliberately crashed into an asteroid to alter its trajectory. However, with limitations in the mass that can be lifted to space, scientists continue to explore nuclear deflection as a viable alternative to kinetic impact missions. Nuclear devices have the highest ratio of energy density per unit of mass of any human technology, making them an invaluable tool in mitigating asteroid threats.

  • Artificial Intelligence Systems Excel at Imitation, but Not Innovation

    Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation. While children and adults alike can solve problems by finding novel uses for everyday objects, AI systems often lack the ability to view tools in a new way.

  • “Energy Droughts” in Wind and Solar Can Last Nearly a Week, Research Shows

    Understanding the risk of compound energy droughts—times when the sun doesn’t shine and the wind doesn’t blow—will help grid planners understand where energy storage is needed most.

  • Taking Illinois’ Center for Digital Agriculture into the Future

    The Center for Digital Agriculture (CDA) at the University of Illinois Urbana-Champaign has a new executive director, John Reid, who plans to support CDA’s growth across all dimensions of use-inspired research, translation of research into practice, and education and workforce development.

  • ChatGPT Could Help First Responders During Natural Disasters

    A little over a year since its launch, ChatGPT’s abilities are well known. The machine learning model can write a decent college-level essay and hold a conversation in an almost human-like way. But could its language skills also help first responders find those in distress during a natural disaster?

  • Innovative Long-Duration Energy Storage Project

    Argonne and Idaho National Laboratories have been selected by the U.S. Department of Energy for a project to validate CMBlu Energy’s battery technology for microgrid resilience and electric vehicle charging. U.S. Department of Energy selects national labs to validate the company’s battery technology for microgrid resilience and electric vehicle charging.

  • AI Networks Are More Vulnerable to Malicious Attacks Than Previously Thought

    Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions.

  • Smart Microgrids Can Restore Power More Efficiently and Reliably in an Outage

    It’s a story that’s become all too familiar — high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst. Engineers developed an AI model that optimizes the use of renewables and other energy sources to restore power when a main utility fails.

  • Seaworthy Solution Yields Green Energy, Fresh Water

    Engineers have refined a model that not only cultivates green energy, but also desalinates ocean water for large, drought-stricken coastal populations.By pumping seawater to a mountaintop reservoir and then employing gravity to send the salty water down to a co-located hydropower plant and a reverse osmosis desalination facility, science can satisfy the energy and hydration needs of coastal cities with one system.

  • Researchers Fabricate Commercial Grade Uranium Dioxide HALEU Fuel

    As the world clamors for carbon-free power, U.S. nuclear reactor developers have responded with several advanced reactor designs. Nuclear energy from light water reactors already ranks among the safest forms of energy production, and most advanced reactors will use safety systems that rely on the laws of physics to virtually eliminate the possibility of a serious accident.

  • National Opportunities to Remove Carbon Dioxide at the Gigaton Scale

    Researchers have completed a first-of-its-kind high-resolution assessment of carbon dioxide (CO2) removal (CDR) in the United States. The report concludes that with today’s technologies, removing 1 billion metric tons of CO2 per year will annually cost roughly $130 billion in 2050, or about 0.5% of current GDP.