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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.

The efficient discovery and production of new molecules is essential for a range of military capabilities—from developing safe chemical warfare agent simulants and medicines to counter emerging threats, to coatings, dyes, and specialty fuels for advanced performance. Current approaches to develop molecules for specific applications, however, are intuition-driven, mired in slow iterative design and test cycles, and ultimately limited by the specific molecular expertise of the chemist who has to test each candidate molecule by hand.

The world beneath us leaves much to be discovered. These uncharted environments pose immense challenges to military and emergency personnel as they respond to threats from adversaries or natural disasters. DARPA has selected nine teams to compete in the Subterranean (SubT) Challenge – seven in the physical Systems track and two in the Virtual track – to develop new approaches to rapidly map, navigate, and search underground environments.

Over its 60-year history, DARPA has played a leading role in the creation and advancement of artificial intelligence (AI) technologies that have produced game-changing capabilities for the Department of Defense. Starting in the 1960s, DARPA research shaped the first wave of AI technologies, which focused on handcrafted knowledge, or rule-based systems capable of narrowly defined tasks. While a critical step forward for the field, these systems were fragile and limited.

DARPA has completed a major review milestone for its Robotic Servicing of Geosynchronous Satellites, or RSGS, program. Results from a recently completed preliminary design review showed that the robotic payload design – coupled with a spacecraft bus that Space Systems Loral (SSL) is providing through a partnership agreement – is on track to fulfill a multi-year mission to service at least 20 commercial and government spacecraft in geosynchronous orbit (GEO).

Today, the expeditious delivery of electronic documents, messages, and other data is relied on for everything from communications to navigation. As the near instantaneous exchange of information has increased in volume, so has the variety of electronic data formats–from images and videos to text and maps. Verifying the trustworthiness and provenance of this mountain of electronic information is an exceedingly difficult task as individuals and organizations routinely engage with data shared by unauthenticated and potentially compromised sources.

The general-purpose computer has remained the dominant computing architecture for the last 50 years, driven largely by the relentless pace of Moore’s Law—the transistor-scaling that has allowed for a half-century of rapid progress in electronics. As this trajectory shows signs of slowing, however, it has become increasingly more challenging to achieve performance gains from generalized hardware, setting the stage for a resurgence in specialized architectures.

A once highly manual process, circuit design has been transformed by the advent of electronic design automation (EDA) tools and modular design methodologies. Despite continuing advances in automation technologies, the demand for increasingly complex System-on-Chip (SoC) platforms has shown no sign of slowing. Today’s SoCs incorporate billions of transistors with miles of electrical wiring that are integrated within a tiny chip.

The use of intellectual-property (IP) blocks–discrete, modular, reusable blocks that deliver frequently used circuit functions—has significantly streamlined the design and creation of microchips. Just as the number of transistors per chip has grown dramatically in line with Moore’s Law—the transistor scaling that has allowed for 50 years of electronics advancement–so too has the number of IP blocks on those same chips.

DARPA will host a competitors day September 27, 2018, to communicate the vision and timeline of the DARPA Subterranean (SubT) Challenge, engage potential competitors, and provide a space for technical and operational exchange.

DARPA today announced its Artificial Intelligence Exploration (AIE) program, a key component of the agency’s broader artificial intelligence (AI) investment strategy aimed at ensuring the United States maintains an advantage in this critical and rapidly accelerating technology area. AIE will constitute a series of unique funding opportunities that use streamlined contracting procedures and funding mechanisms to achieve a start date within three months of an opportunity announcement.

DARPA’s Fast Lightweight Autonomy (FLA) program recently completed Phase 2 flight tests, demonstrating advanced algorithms designed to turn small air and ground systems into team members that could autonomously perform tasks dangerous for humans – such as pre-mission reconnaissance in a hostile urban setting or searching damaged structures for survivors following an earthquake.

Imagine a natural disaster scenario, such as an earthquake, that inflicts widespread damage to buildings and structures, critical utilities and infrastructure, and threatens human safety. Having the ability to navigate the rubble and enter highly unstable areas could prove invaluable to saving lives or detecting additional hazards among the wreckage. Partnering rescue personnel with robots to evaluate high-risk scenarios and environments can help increase the likelihood of successful search and recovery efforts, or other critical tasks while minimizing the threat to human teams.

Models for providing hourly terrestrial weather forecasts anywhere in the world have become increasingly precise—our smartphones buzz or chirp with local alerts of approaching thunderstorms, heavy snow, flash floods, and big events like tornados and hurricanes. The military relies on accurate weather forecasts for planning complex operations in the air, on ground, and at sea.

To maximize use of launch vehicle performance during its 2019 Launch Challenge, DARPA has released a request for information (RFI) seeking payload ideas from the space community. It is anticipated that Launch Challenge competitors will have a wide range of low Earth orbit (LEO) mass delivery capabilities, from roughly 10 to 500 kilograms.

Machine learning (ML) systems today learn by example, ingesting tons of data that has been individually labeled by human analysts to generate a desired output. As these systems have progressed, deep neural networks (DNN) have emerged as the state of the art in ML models. DNN are capable of powering tasks like machine translation and speech or object recognition with a much higher degree of accuracy. However, training DNN requires massive amounts of labeled data–typically 10⁹ or 10¹⁰ training examples. The process of amassing and labeling this mountain of information is costly and time consuming.

DARPA’s Experimental Spaceplane (XSP) advances toward its goal for rapid turnaround and on-demand launch with the completion of a test series that put the spaceplane’s AR-22 Experimental Spaceplane Main Engine through a rigorous campaign. In the two weeks preceding the campaign, the engine ran twice to establish initial performance characteristics and turnaround processes. Then, starting July 26, the engineering team successfully fired the engine 10 times in just under 240 hours. All firings lasted at least 100 seconds. The AR-22 engine is a variant of the RS-25, also known as the Space Shuttle Main Engine (SSME).

First announced in June 2017, DARPA’s Electronics Resurgence Initiative (ERI) is a multi-year, upwards of $1.5 billion investment in jumpstarting innovation and collaboration across the U.S. electronics community to address an array of long foreseen challenges to Moore’s Law. To kickoff this community-wide effort, DARPA is hosting its first annual ERI Summit from July 23-25 in San Francisco, CA. The three-day event will bring together leading voices from across the electronics community–including Alphabet, Applied Materials, Intel, Synopsys, Cadence, Mentor Graphics, NVIDIA, and IBM–to address challenges and opportunities for the next half century of electronics progress.

DARPA’s Ground X-Vehicle Technologies (GXV-T) program aims to improve mobility, survivability, safety, and effectiveness of future combat vehicles without piling on armor. Several Phase 2 contract awardees recently demonstrated advances on a variety of potentially groundbreaking technologies to meet the program’s goals.

Chemical innovation plays a key role in developing cutting-edge technologies for the military. Research chemists design and synthesize new molecules that could enable a slew of next-generation military products, such as novel propellants for spacecraft engines; new pharmaceuticals and medicines for troops in the field; lighter and longer-lasting batteries and fuel cells; advanced adhesives, coatings and paints; and less expensive explosives that are safer to handle. The problem, however, is that existing molecule design and production methods rely primarily on experts’ intuition in a laborious, trial-and-error research process.

Protection against many common pathogens and environmental stressors is written into our DNA. Our skin responds to sun exposure. Our immune system mounts defenses when we get the flu. Our bodies inherently work to mitigate the potential for harm caused by these health threats. However, these intrinsic responses are not always quick, robust, or appropriate enough to adequately defend us from harm, which is why many people experience sunburn after intense sun exposure or suffer severe symptoms, even death, following exposure to the flu.

DARPA’s Tactical Technology Office is hosting a Virtual Proposers Day June 6 and 7 to provide information through pre-recorded videos about TTO’s goals and areas for investment in advance of a mid-June release of the 2018 Disruptive Capabilities for Future Warfare Broad Agency Announcement (BAA). The event also will provide an opportunity for companies and individuals to meet with TTO program managers to discuss concepts for advanced research, development, and demonstration of systems for military missions. Registration closes June 1 at noon EDT.