Ajai Raj
35 articles on Johns Hopkins APL News Releases
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Articles35
Johns Hopkins APL Researchers Aim to Set Safer Paths for Swift-Flying Robots
Despite significant advances in drone technology and autonomous systems over the last couple of decades, a world where small, swift robots dart and weave through pedestrians, bikes and cars in the urban landscape remains firmly in the realm of science fiction. But researchers at APL have made significant progress on two key technical problems that stand in t
With Project Wonder, Johns Hopkins Medicine and Johns Hopkins APL Seek to Generate Discoveries From Data
Wonder is, by its very nature, impossible to quantify. But, convinced of the fundamental role of wonder in the scientific enterprise, a team from Johns Hopkins Medicine and APL is leveraging the power of data to foster wonder, inspire novel insights and push the frontiers of precision medicine.
Creating Coatings for Extreme Environments: From Solar Shields to Hypersonic Leading Edges
Johns Hopkins APL researchers are developing coatings that can stand up to the rigors of hypersonic flight in the upper atmosphere. The work leverages APL’s ability to produce custom materials solutions to solve hard problems that stand between success and failure on real missions.
Johns Hopkins APL’s ‘Oz’ Reveals the Impact of Disaster Damage on Missions
By linking two existing operational capabilities, scientists and engineers at APL have created a tool to arm first responders with crucial information by computing the impact of natural disaster damage on a given mission.
With MOSAICS, Johns Hopkins APL Brings the Future of Industrial Cybersecurity into Focus
APL, in partnership with Sandia National Laboratories, Pacific Northwest National Laboratory and Idaho National Laboratory, is leading the development of the first-ever comprehensive, integrated and automated solution for industrial control system (ICS) cybersecurity.
Fatigue Monitoring System Holds Promise in Preventing Warfighter Injuries
Scientists at Johns Hopkins APL are working on a system to monitor physical fatigue in near-real time. Such a capability could prevent countless musculoskeletal injuries, and fits into a larger portfolio of work at the Laboratory focused on predictive health and human performance modeling.
Ukraine Crisis Latest Activation for Johns Hopkins APL’s Disaster Response Corps
Through the Disaster Response Corps, APL is bringing its world-class expertise in data analytics, remote sensing, systems engineering and other relevant disciplines to monitor damaged medical infrastructure in Ukraine.
Creating a New Cybersecurity Paradigm for a Cloud-Based World
Scientists, mathematicians and engineers at APL are building a new cybersecurity paradigm that’s suited to the realities of how computing and collaborating are done in the 21st century. Their work has applications in health care, weapons systems and space, as well as in protecting critical infrastructure and industry generally.
The Future of Uncrewed Aerial Systems Depends on Public Trust
While technological advances will play a central role in enabling commercial uncrewed aircraft systems, the successful implementation of these systems will depend more on public confidence than on any technical achievement.
Training Algorithms to Sniff Out Sneaky Fentanyl Clones
Chemists and computer scientists at Johns Hopkins APL are teaming up to use machine-learning algorithms to spot fentanyl analogs — molecules designed to mimic the deadly drug’s effects while evading detection.
Artificial Intelligence Used to Discover Novel Superconductor
A multidisciplinary team at Johns Hopkins APL has discovered a novel superconductor using artificial intelligence. The key to this breakthrough came through combining materials science expertise and real data into a predictive AI model, which vastly accelerates the timeline of targeted materials discovery.
A Stimulating Option for Spinal Cord Injury Relief
Spinal cord injuries are among the most devastating that a person can live with — as well as the most difficult to effectively treat. Johns Hopkins APL researchers are applying machine-learning techniques to enable existing technology to help restore autonomy and dignity to people who live with spinal cord injuries.
Improving Patient Safety Outcomes With Precision Medicine
A collaboration between Johns Hopkins APL and Johns Hopkins Medicine in Baltimore is applying data science expertise to combat preventable harms in the health care system, using the Precision Medicine Analytics Platform.
Designing Conversational AI to Provide Medical Assistance on the Battlefield
Researchers at Johns Hopkins APL are working on a proof of concept for a conversational artificial intelligence agent that will be able to provide medical guidance to untrained soldiers in plain English, by applying knowledge gleaned from established care procedures.
Awakening Interest in an Under-studied Brain System
Johns Hopkins APL scientists are working to advance our understanding of the glymphatic system — an under-studied waste clearance system for the brain — and the role it plays in sleep, memory consolidation, degenerative illnesses and more.
Enabling Military Decision-Making at Operational Tempo
By applying algorithmic approaches used to help robots navigate terrain and perform tasks, scientists at Johns Hopkins APL are enabling the military to automate key facets of tactical decision-making, ensuring the U.S. can maintain its competitive edge well into the future.
Johns Hopkins APL Marks 15 Impactful Years of Pushing the Boundaries of Missile Design
For 15 years, APL has been advancing a new paradigm for missile design, known as multidisciplinary design optimization, that overcomes the limitations of traditional processes. Along the way, the Laboratory has developed cutting-edge tools that have supported a wide range of government agencies and advanced the state of the art among industry partners and go
Bringing Objective Digital Measures to Psychiatric Care
By harnessing recent technological breakthroughs in physiological monitoring and machine learning, researchers at Johns Hopkins APL, in collaboration with psychiatrists at Johns Hopkins Medicine, have made significant strides toward creating objective digital measures for assessing and tracking mental health.
AI Copilots Set to Engage the Future of Air Combat
Building on more than a decade of pushing the boundaries of what artificial intelligence can do in air combat, engineers and air combat specialists at Johns Hopkins APL have made significant progress in creating a copilot that will grant the power, speed and precision of machine computation to human fighter pilots.
Scientists Fuse Simulations and Machine Learning to Accelerate Novel Additively Manufactured Materials
A new Johns Hopkins APL-led study shows how machine learning can be used to predict the microstructures produced by a widely used additive manufacturing technique. This novel approach promises to dramatically reduce the cost of and time spent developing materials with tailored physical properties and will soon be implemented on a NASA-funded effort focused o