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Eleven teams from around the world will attempt to remotely map, identify, and report the greatest number of artifacts along the passages of a Pittsburgh research mine in the Subterranean Challenge Tunnel Circuit. The National Institute for Occupational Safety and Health Mining Program manages the formerly operational mine, which will serve as the arena for the Systems event August 15-22, 2019.

The Department of Defense (DoD)’s Joint Logistics Enterprise, which spans both supply chain and logistics operations, provides the means to muster, transport, and sustain military power anywhere in the world at a high level of readiness. To operate successfully in an increasingly contested global security environment, however, the logistics enterprise needs to change how it operates. In particular, the enterprise needs to overcome its reliance on thousands of disparate legacy information systems, which can’t provide the status of millions of military parts, supplies, and pieces of equipment, which are stocked and shipped around the world.

DARPA’s Defense Sciences Office (DSO) will host Discover DSO Day (D3) on June 18, 2019, to facilitate discussion of technical research thrusts outlined in a new office-wide Broad Agency Announcement (BAA) solicitation expected in mid-June.

DARPA has awarded funding to six organizations to support the Next-Generation Nonsurgical Neurotechnology (N³) program, first announced in March 2018. Battelle Memorial Institute, Carnegie Mellon University, Johns Hopkins University Applied Physics Laboratory, Palo Alto Research Center (PARC), Rice University, and Teledyne Scientific are leading multidisciplinary teams to develop high-resolution, bidirectional brain-machine interfaces for use by able-bodied service members. These wearable interfaces could ultimately enable diverse national security applications such as control of active cyber defense systems and swarms of unmanned aerial vehicles, or teaming with computer systems to multitask during complex missions.

Artificial intelligence has defeated chess grandmasters, Go champions, professional poker players, and, now, world-class human experts in the online strategy games Dota 2 and StarCraft II. No AI currently exists, however, that can outduel a human strapped into a fighter jet in a high-speed, high-G dogfight. As modern warfare evolves to incorporate more human-machine teaming, DARPA seeks to automate air-to-air combat, enabling reaction times at machine speeds and freeing pilots to concentrate on the larger air battle.

Could it be that your scent is just a bit too attractive? It is known that mosquitoes are drawn to certain human chemical odors that lead the insects to sources of food. ReVector, a new program from DARPA’s Biological Technologies Office, intends to diminish that attraction — or even actively repel mosquitoes — by engineering the skin microbiome to temporarily alter chemical production. By modulating the interaction of skin-associated microbes with metabolites from the body, ReVector technologies might lower the incidence of mosquito feeding and thus reduce the opportunity for the insects to transmit diseases such as malaria, dengue, and chikungunya that reduce military readiness.

Military systems are increasingly using software to support functionality, new capabilities, and beyond. Before a new piece of software can be deployed within a system however, its functional safety and compliance with certain standards must be verified and ultimately receive certification. As the rapid rate of software usage continues to grow, it is becoming exceedingly difficult to assure that all software considered for military use is coded correctly and then tested, verified, and documented appropriately.

DARPA’s SIGMA program, which began in 2014, has demonstrated a city-scale capability for detecting radiological and nuclear threats that is now being operationally deployed. DARPA is building off this work with the SIGMA+ initiative that is focused on providing city- to region-scale detection capabilities across the full chemical, biological, radiological, nuclear, and explosive threat space.

Nine teams hailing from four continents gathered in Idaho Springs, Colorado, the week of April 5-11, 2019, to test autonomous air and ground systems for navigating the dark, dangerous, dirty, and unpredictable underground domain. The SubT Integration Exercise, known as STIX, took place at the Colorado School of Mines’ Edgar Experimental Mine. The event provided a shakeout opportunity for competitors in advance of the Tunnel Circuit in August, the first of three subdomains that teams will tackle in DARPA’s Subterranean Challenge.

The DARPA Launch Challenge aims to fundamentally shift military space capabilities to enable on-demand, flexible, and responsive launch of small payloads. Three competitors successfully completed the qualification phase and will attempt to launch to low-Earth orbit from two different U.S. locations within a matter of weeks. Teams will receive notice of the first launch site a few weeks prior to launch and exact details on the payload and intended orbit just days before launch. DARPA is targeting both launches for early 2020.

Since its official announcement on June 1, 2017, DARPA’s Electronics Resurgence Initiative (ERI) has sought to advance the development of a specialized, secure, and heavily automated electronics industry. ERI – a five-year, upwards of $1.5B investment to enable far-reaching improvements in electronics performance – has fostered collaborations among the commercial electronics sector, defense industrial base, and university researchers. As ERI enters its second year, DARPA seeks to reconvene the electronics community at the second annual ERI Summit in Detroit, Michigan, July 15–17. The Summit will allow electronics innovators to share their vision for the future, review technical progress, and provide input into future research directions.

DARPA is soliciting creative proposals for the fourth swarm sprint in its OFFensive Swarm-Enabled Tactics (OFFSET) program. OFFSET envisions swarms of 250 collaborative autonomous systems providing critical capabilities to ground units in urban areas where challenges such as tall buildings, tight spaces, and limited sight lines constrain essential communications, sensing, maneuverability, and autonomous operations.

For the past decade, cybersecurity threats have moved from high in the software stack to progressively lower levels of the computational hierarchy, working their way towards the underlying hardware. The rise of the Internet of Things (IoT) has driven the creation of a rapidly growing number of accessible devices and a multitude of complex chip designs needed to enable them. With this rapid growth comes increased opportunity for economic and nation-state adversaries alike to shift their attention to chips that enable complex capabilities across commercial and defense applications. The consequences of a hardware cyberattack are significant as a compromise could potentially impact not millions, but billions of devices.

On a brisk February morning in the Yuma, Arizona, desert, a swarm of unmanned aerial vehicles equipped with DARPA’s Collaborative Operations in Denied Environment system, or CODE, successfully carried out mission objectives, even when communications were offline and GPS was unavailable.

The inability of artificial intelligence (AI) to represent and model human partners is the single biggest challenge preventing effective human-machine teaming today. Current AI agents are able to respond to commands and follow through on instructions that are within their training, but are unable to understand intentions, expectations, emotions, and other aspects of social intelligence that are inherent to their human counterparts. This lack of understanding stymies efforts to create safe, efficient, and productive human-machine collaboration.

The current generation of machine learning (ML) systems would not have been possible without significant computing advances made over the past few decades. The development of the graphics-processing unit (GPU) was critical to the advancement of ML as it provided new levels of compute power needed for ML systems to process and train on large data sets. As the field of artificial intelligence looks towards advancing beyond today’s ML capabilities, pushing into the realms of “learning” in real-time, new levels of computing are required.

DARPA aims to apply the power of social networks to research and development via a novel social media platform purpose-built to quicken the pace of U.S. technology development. Polyplexus, which was recently launched as a public platform, is designed to increase access to scientific evidence and accelerate hypothesis development, research proposal generation, and research sponsor engagement. The platform’s real-time interactions and functionality are designed to dramatically shorten the time between the emergence of concepts and the submission of worthy proposals.

Today’s machine learning systems are restricted by their inability to continuously learn or adapt as they encounter new situations; their programs are fixed after training, leaving them unable to react to new, unforeseen circumstances once they are fielded. Adding new information to cover programming deficits overwrites the existing training set. With current technology, this requires taking the system offline and retraining it on a dataset that incorporates the new information. It is a long and arduous process that DARPA’s Lifelong Learning Machines (L2M) program is working to overcome.

DARPA is seeking information on state-of-the-art technologies and methodologies for advanced mapping and surveying in support of the agency’s Subterranean (SubT) Challenge. Georeferenced data – geographic coordinates tied to a map or image – could significantly improve the speed and accuracy of warfighters in time-sensitive active combat operations and disaster-related missions in the subterranean domain. Today, the majority of the underground environments are uncharted or inadequately mapped, including human-made tunnels, underground infrastructure, and natural cave networks.

Small Business Innovation Research and Small Business Technology Transfer (SBIR/STTR) are the principal set-aside programs for small business participation in federal research and development funding, yet the requirements for administering and managing these programs have not changed significantly in decades. To keep pace with discovery in science and technology worldwide, DARPA now intends to release SBIR/STTR opportunities on an out-of-cycle basis, separate from the three pre-determined announcements traditionally issued directly through the Department of Defense (DoD). The change is expected to reduce the overall time from opportunity announcement to contract award.

Universal quantum computers with millions of quantum bits, or qubits – which can represent a one, a zero, or a coherent linear combination of one and zero – would revolutionize information processing for commercial and military applications. Realizing that vision, however, is still decades away. The problem is the performance and reliability of quantum devices depend on the length of time the underlying quantum states can remain coherent. If you wait long enough, interactions with the environment will make the state behave like a conventional classical system, removing any quantum advantage. Often, this coherence time is significantly short, which makes it difficult to perform any meaningful computations.

DARPA has selected five teams of researchers to support PREventing EMerging Pathogenic Threats (PREEMPT), a 3.5-year program first announced in January 2018 to reinforce traditional medical preparedness by containing viral infectious diseases in animal reservoirs and insect vectors before they can threaten humans. Through studies in secure laboratories and simulated natural environments, the PREEMPT researchers will model how viruses might evolve within animal populations, and assess the safety and efficacy of potential interventions.

Goliath grouper, black sea bass, and snapping shrimp, along with bioluminescent plankton and other microorganisms, are set to be the unlikely heroes of DARPA’s Persistent Aquatic Living Sensors (PALS) program. Five teams of researchers are developing new types of sensor systems that detect and record the behaviors of these marine organisms and interpret them to identify, characterize, and report on the presence of manned and unmanned underwater vehicles operating in strategic waters.

Current AI systems excel at tasks defined by rigid rules – such as mastering the board games Go and chess with proficiency surpassing world-class human players. However, AI systems aren’t very good at adapting to constantly changing conditions commonly faced by troops in the real world – from reacting to an adversary’s surprise actions, to fluctuating weather, to operating in unfamiliar terrain. For AI systems to effectively partner with humans across a spectrum of military applications, intelligent machines need to graduate from closed-world problem solving within confined boundaries to open-world challenges characterized by fluid and novel situations.

The testing, evaluation and training of future military systems will increasingly take place in virtual environments due to rising costs and system complexity as well as the limited availability of military ranges. Virtual simulators are already used to augment real-world training for modern fighter aircraft pilots, and they hold significant promise for addressing the rigorous demands of testing and training AI-enabled technologies. Current simulated environments, however, rely on conventional computing that is incapable of generating the computational throughput and speed to accurately replicate real-world interactions, model the scale of physical test ranges or meet the technical requirements of more complex systems.

Blast injuries, burns, and other wounds experienced by warfighters often catastrophically damage their bones, skin, and nerves, resulting in months to years of recovery for the most severe injuries and often returning imperfect results. This long and limited healing process means prolonged pain and hardship for the patient, and a drop in readiness for the military. However, DARPA believes that recent advances in biosensors, actuators, and artificial intelligence could be extended and integrated to dramatically improve tissue regeneration. To achieve this, the new Bioelectronics for Tissue Regeneration (BETR) program asks researchers to develop bioelectronics that closely track the progress of the wound and then stimulate healing processes in real time to optimize tissue repair and regeneration.

Today, machine learning (ML) is coming into its own, ready to serve mankind in a diverse array of applications – from highly efficient manufacturing, medicine and massive information analysis to self-driving transportation, and beyond. However, if misapplied, misused or subverted, ML holds the potential for great harm – this is the double-edged sword of machine learning.

A key ingredient in effective teams – whether athletic, business, or military – is trust, which is based in part on mutual understanding of team members’ competence to fulfill assigned roles. When it comes to forming effective teams of humans and autonomous systems, humans need timely and accurate insights about their machine partners’ skills, experience, and reliability to trust them in dynamic environments. At present, autonomous systems cannot provide real-time feedback when changing conditions such as weather or lighting cause their competency to fluctuate. The machines’ lack of awareness of their own competence and their inability to communicate it to their human partners reduces trust and undermines team effectiveness.

In early April, nine qualified teams will attempt to remotely navigate the dark and dirty corridors of Edgar Experimental Mine in Idaho Springs, Colorado, in preparation for the Circuits Stage of the DARPA Subterranean (SubT) Challenge later this year. The SubT Integration Exercise, known as STIX, offers teams an opportunity to try out their technologies, including robotics, sensors, and communications solutions, in a representative environment. The locations for the Circuits Stage events have not been announced.

A new program out of DARPA’s Biological Technologies Office could help the Department of Defense enhance and sustain military readiness both by revolutionizing how troops train, perform, and recover, and by mitigating shortages of highly qualified candidates for extremely specialized roles. The anticipated outputs of the Measuring Biological Aptitude (MBA) program are a set of biomarkers — measurable indicators of biological processes — that correspond to traits of highly effective performance in a given role, along with new tools to measure and report on those biomarkers in real time.

DARPA’s Radio Frequency Risk Reduction Deployment Demonstration (R3D2) is set for launch in late February to space-qualify a new type of membrane reflectarray antenna. The antenna, made of a tissue-thin Kapton membrane, packs tightly for stowage during launch and then will deploy to its full size of 2.25 meters in diameter once it reaches low Earth orbit.

Whether a piece of information is private, proprietary, or sensitive to national security, systems owners and users have little guarantees about where their information resides or of its movements between systems. When a user enters information on a phone, for example, it is difficult to provably track that the data remains on the phone or whether it is uploaded to a server beyond the device. The national defense and security communities are similarly left with few options when it comes to ensuring that sensitive information is appropriately isolated, particularly when it’s loaded to an internet-connected system.

Rapid comprehension of world events is critical to informing national security efforts. These noteworthy changes in the natural world or human society can create significant impact on their own, or may form part of a causal chain that produces broader impact. Many events are not simple occurrences but complex phenomena composed of a web of numerous subsidiary elements – from actors to timelines. The growing volume of unstructured, multimedia information available, however, hampers uncovering and understanding these events and their underlying elements.

On December 12, DARPA held the second preliminary event of the Spectrum Collaboration Challenge (SC2) – the world’s first collaborative machine-intelligence competition to overcome spectrum scarcity. Fifteen teams represented by members from across the academic, commercial and defense landscapes gathered at Johns Hopkins University Applied Physics Laboratory (APL) to pit their intelligent radio designs against each other in a head-to-head competition.

Hypersonic vehicles fly through the atmosphere at incredibly high speeds, creating intense friction with the surrounding air as they travel at Mach 5 or above – five times faster than sound travels. Developing structures that can withstand furnace-like temperatures at such high speeds is a technical challenge, especially for leading edges that bear the brunt of the heat.

Today’s critical Department of Defense (DOD) systems and platforms rely on advanced electronics to address national security objectives. To help tackle obstacles facing a half-century of electronics advancement, DARPA launched the Electronics Resurgence Initiative (ERI) – a five-year, upwards of $1.5 billion investment in the future of domestic electronic systems. In November, DARPA expanded ERI with the announcement of ERI Phase II, which seeks to further enmesh the technology needs and capabilities of the defense enterprise with the commercial and manufacturing realities of the electronics industry.

Four years ago, DARPA announced the start of a “journey of discovery” toward understanding and treating networks of the brain. The Systems-Based Neurotechnology for Emerging Therapies (SUBNETS) program proposed to develop responsive, adaptable, closed-loop therapies for neuropsychiatric illness that incorporate recording and analysis of brain activity with near-real-time neural stimulation to correct or mitigate brain dysfunction. The premise of SUBNETS is that brain function and dysfunction — rather than being relegated to distinct anatomical regions of the brain — play out across distributed neural systems.

The first test of DARPA’s Squad X Experimentation program successfully demonstrated the ability to extend and enhance the situational awareness of small, dismounted units. In a weeklong test series at Twentynine Palms, California, U.S. Marine squads improved their ability to synchronize maneuvers, employing autonomous air and ground vehicles to detect threats from multiple domains – physical, electromagnetic, and cyber – providing critical intelligence as the squad moved through scenarios.

Flying at 50,000 feet, diving deep in the ocean, or hiking for miles with gear through extreme climates, military service members face conditions that place unique burdens on their individual physiology. The potential exists to develop pharmacological interventions to help service members complete their toughest missions more safely and efficiently, and then recover more quickly and without adverse effects, but those interventions must work on complex physiological systems in the human body.

In a recent test series at Yuma Proving Ground in Arizona, DARPA’s Collaborative Operations in Denied Environment (CODE) program demonstrated the ability of CODE-equipped Unmanned Aerial Systems (UASs) to adapt and respond to unexpected threats in an anti-access area denial (A2AD) environment. The UASs efficiently shared information, cooperatively planned and allocated mission objectives, made coordinated tactical decisions, and collaboratively reacted to a dynamic, high-threat environment with minimal communication.

Throughout DARPA’s history, artificial intelligence (AI) has been an important area of groundbreaking research and development (R&D). In the 1960s, DARPA researchers completed some of the foundational work in the field, leading to the creation of expert systems, or the first wave of AI technologies. Since then, DARPA has funded developments in the second wave of AI – machine learning – which has significantly impacted defense and commercial capabilities in areas such as speech understanding, self-driving cars, and image recognition.

The joint DARPA/U.S. Army Operational Fires (OpFires) program will soon kick off with three performers awarded contracts to begin work: Aerojet Rocketdyne, Exquadrum, and Sierra Nevada Corporation. OpFires aims to develop and demonstrate a novel ground-launched system enabling hypersonic boost glide weapons to penetrate modern enemy air defenses and rapidly and precisely engage critical time sensitive targets.

DARPA has narrowed the potential launch locations for the DARPA Launch Challenge to eight, with options for both vertical and horizontal launch. The challenge will culminate in late 2019 with two separate launches to low Earth orbit within weeks of each other from two different sites. Competitors will receive information about the final launch sites, payloads, and targeted orbit in the weeks prior to each launch.

Parallelism – or the act of several processors simultaneously executing on an application or computation – has been increasingly embraced by the microelectronics industry as a way of sustaining demand for increased system performance. Today, parallel computing architectures have become pervasive across all application domains and system scales – from multicore processing units in consumer devices to high-performance computing in DoD systems.

First announced in June 2017, DARPA’s Electronics Resurgence Initiative (ERI) – a five-year, upwards of $1.5B investment in the future of domestic electronic systems – is rolling out the second phase of its research priorities. Comprised of several ongoing DARPA programs – including the six recently awarded ERI “Page 3” programs –ERI addresses long-foreseen obstacles to Moore’s Law and the challenges impeding 50 years of rapid progress in electronics advancement. The next phase of ERI will focus on further enmeshing the technology needs and capabilities of the defense enterprise with the commercial and manufacturing realities of the electronics industry.

An S-76B commercial helicopter flew over a small crowd gathered at Fort Eustis, Virginia, landed in an adjacent field after adjusting to miss a vehicle, and rose up to hover perfectly motionless for several minutes. The mid-October demonstration was remarkable because the pilot carried out the maneuvers using supervised autonomy in an aircraft equipped with DARPA’s Aircrew Labor In-Cockpit Automation System (ALIAS). He operated the system via novel control interceptors and a tablet he had used for the first time just three days beforehand.

DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) envisions swarms of 250 collaborative autonomous systems providing critical insights to small ground military units in urban areas where vertical structures, tight spaces, and limited sight lines constrain communications and mobility. DARPA is soliciting proposals for its third swarm sprint, which will focus on the topics of human-swarm teaming and swarm tactics.

Today’s machine learning systems are more advanced than ever, capable of automating increasingly complex tasks and serving as a critical tool for human operators. Despite recent advances, however, a critical component of Artificial Intelligence (AI) remains just out of reach – machine common sense. Defined as “the basic ability to perceive, understand, and judge things that are shared by nearly all people and can be reasonably expected of nearly all people without need for debate,” common sense forms a critical foundation for how humans interact with the world around them.