Today, we proudly announce the launch of our AI Glasses Impact Grants aimed at supporting U.S.-based organizations that leverage our AI glasses to create meaningful societal and economic benefits. We’re offering 25 Accelerator Grants for organizations currently using our glasses to enhance their impact, along with five Catalyst Grants for those proposing innovative applications using the Meta Wearables Device Access Toolkit. Grant recipients will also join the Meta Wearables Community, a collaborative network designed to foster innovation around our wearable technology.

Our AI glasses are revolutionizing user experiences, enabling fresh avenues of creativity and self-expression while enhancing learning and connectivity. They deliver tangible economic value by equipping farmers with real-time agricultural insights, allowing college athletic trainers to document injury assessments on-site, and supporting aspiring filmmakers in universities.

We aim to amplify the efforts of organizations with transformative ideas through our grants, providing significant financial support. Grants include 15 Accelerator Grants of $25,000 and 10 of $50,000, along with five Catalyst Grants of $200,000, totaling nearly $2 million for over 30 projects. Whether you’re a small start-up focused on environmental initiatives or a large organization enhancing accessibility, we want to connect with you.

During our recent Wearables Community Summit, we showcased how visionaries are utilizing our glasses. For instance, Kevin Lang from Agerpoint enhances agricultural operations with hands-free AI diagnostics to improve crop health. Similarly, athletic trainer David Gallegos utilizes voice recognition features to effortlessly log player injuries. Moreover, San Diego State University's School of Theatre, Television, and Film leverages our glasses to facilitate location scouting and collaborative filmmaking, making the process more accessible for students.

Applications for the AI Glasses Impact Grants are open until March 9, 2026. Apply now!

General Dynamics Information Technology (GDIT) has unveiled its new Defense Operations Grid Mesh Accelerator (DOGMA) AI solution, aimed at enhancing government efficiency across various operational fields. This cutting-edge technology merges advanced artificial intelligence, machine learning, cloud computing, and satellite connectivity to significantly streamline data processing, analysis, and decision-making for government agencies.

DOGMA boasts a versatile application range, catering to defense, intelligence, and civilian sectors. It can be tailored for specific missions, enabling critical functions such as aerial threat detection, infrastructure protection, intelligence analysis, border security, natural disaster early warnings, public safety enhancements, transportation optimization, and smart city traffic management.

The solution's efficacy has already been showcased in military settings. At the recent Technology Readiness Experimentation Event (T-REX-25-2), DOGMA reduced the time required to monitor unmanned aerial systems from 30 minutes to a mere 3 seconds, facilitating rapid decision-making. Additionally, during Cyber Fortress 2025, DOGMA provided crucial real-time insights into aerial threats during a simulated cyber and physical attack on a power grid, aiding in a coordinated response.

Brian Sheridan, GDIT’s senior vice president for Defense, emphasized the significance of speed and precision in today's intricate mission environments. He noted that DOGMA empowers operators to respond swiftly to information, stay ahead of emerging threats, and maintain a tactical advantage. Future developments will include quantum-safe encryption and adaptive large language models to further enhance collaboration between humans and machines, ensuring robust interoperability across diverse operational domains.

India is poised to redefine the future of artificial intelligence (AI) as it prepares to host its fourth AI Summit next month. This gathering will see participation from over 100 countries, including numerous delegates from Korea, focusing not solely on AI advancements but on the transformative impacts these technologies can have on lives and societies.

India's approach emphasizes "AI for All," prioritizing inclusive development aimed at marginalized groups such as small farmers, informal sector workers, and diverse linguistic communities. This philosophy recognizes the potential of AI to bridge divides and ensure equitable access to technological benefits, addressing real-world challenges through tailored solutions.

The nation's AI Mission, now almost two years in, is dedicated to enhancing access to data and technological sovereignty. Despite having 38,000 Graphics Processing Units (GPUs), which is fewer than Korea's 260,000, India has successfully fostered an environment where 1,600 AI startups thrive. Noteworthy initiatives include a dataset platform facilitating access to high-quality datasets that mitigate data scarcity for startups.

India's talent cultivation strategy is inclusive, offering fellowships in various fields beyond engineering and launching a new program aimed at skilling one million youths across the country within a year. Moreover, the introduction of the world's first government-funded multimodal Large Language Model (LLM) illustrates India's commitment to serving its diverse population and ensuring reliable, representative AI solutions.

Crucially, India's applications are aligned with pressing societal needs, from enhancing cancer diagnosis and farming practices to ensuring digital inclusion for non-English speakers. By adopting an open-source approach, India is reducing development timelines and facilitating affordable AI adoption across sectors, showcasing that inclusive innovation can drive large-scale impact. With this summit, India and South Korea can foster a socially responsible AI model that promotes economic growth through social inclusion rather than division.

Agentic process automation harnesses autonomous AI agents to effectively manage intricate government workflows, surpassing traditional robotic process automation (RPA) by promoting dynamic, data-driven decision-making in real-time.

This innovative approach addresses the need for greater efficiency in state and local agencies. Unlike RPA, which follows rigid protocols, agentic process automation allows AI to not only execute tasks but also comprehend goals, adapt to changes, and learn from experiences. For example, when a constituent requires a permit, an AI agent can guide them through the application process interactively.

The primary distinction between agentic automation and RPA lies in their adaptability. While RPA is scripted and struggles with unexpected changes, agentic solutions utilize autonomous reasoning and decision-making to identify unique solutions to complex problems. This significantly enhances process management, particularly in situations like benefit assessments, where agentic automation can handle exceptions and navigate uncertainties, thus improving service delivery.

The benefits of agentic process automation are substantial. It promises faster assistance with service requests, mitigating delays common with traditional methods. Additionally, AI agents can perform workflows autonomously, leading to significant efficiency improvements across various government sectors.

To prepare for this advanced technology, agencies should identify critical challenges that require intricate judgment, foster collaboration among stakeholders, and establish a solid data foundation. The adoption of agentic process automation will not only bolster productivity but also facilitate a more responsive government structure focused on enhancing citizen engagement and satisfaction.