The @USNavy and Shield AI have committed $400 million to advance X-BAT toward flight testing.
The Navy’s latest $150 million modification supports Defense Exportability Features, building exportability and technology protection into X-BAT early in its development. Shield AI is matching that amount.
Along with a separate $50 million Navy and @DIU_x action announced in August, the two funding actions total $200 million in government support and $200 million in Shield AI investment.
Shield AI and key suppliers now have 500 engineers building the flight-test aircraft. Flight testing begins this year.
Autonomy for the world. The greatest victory requires no war.
Shield AI to acquire Aechelon and raise $2B at $12.7B valuation.
We’re accelerating the shift in how defense systems get built: increasingly shaped in software, trained in simulation, and improved through use.
Aechelon, a Sagewind portfolio company, is one of the most trusted simulation companies in defense. Their technology is used to model real-world environments and test systems before they fly. Bringing that capability together alongside Hivemind connects how autonomy is trained with how it performs in the field, helping customers move faster and field capability with greater confidence.Shield AI to acquire Aechelon Technology Inc. and raise $2B at $12.7B valuation.
We’re accelerating the shift in how defense systems get built: increasingly shaped in software, trained in simulation, and improved through use.
Aechelon, a Sagewind Capital portfolio company, is one of the most trusted simulation companies in defense. Their technology is used to model real-world environments and test systems before they fly. Bringing that capability together alongside Hivemind connects how autonomy is trained with how it performs in the field, helping customers move faster and field capability with greater confidence.
Read more: https://t.co/2lpEYLrUHi
Led by @adventintl and co-led by JPMorganChase’s Strategic Investment Group, with participation from @blackstone, @SnowpointVC, Innovation X Advisors, Riot Ventures, @disruptivetech, Apandion, and others.
At this year's Amazon Machine Learning Conference (AMLC), Amazon researchers gathered to showcase high-quality science, connect with colleagues with similar research interests, and learn innovative techniques. Explore ML careers at Amazon: https://t.co/O4TbNIvPj6
Very excited to start sharing some of the work we have been doing at Amazon FAR. In this work we present OmniRetarget, which can generate high-quality interaction-preserving data from human motions for learning complex humanoid skills.
High-quality re-targeting really helps the reinforcement learning.
Why? The control policy optimization landscape is much nicer for (near)feasible trajectories than for trajectories with artifacts like (e.g.) foot skating or ground penetration.
Amazon researchers have accepted publications at @icmlconf spanning generative AI, autonomous agents, time series forecasting, and anomaly detection. Explore the papers: https://t.co/Do4MhwKSvF #ICML2025
Exciting things happening at Amazon’s AGI Lab led by @jluan. Interested in joining his team? Visit our #ICML2025 booth (#311) or learn more here: https://t.co/uGpDDeeLNX
Really enjoyed speaking with @Melissahei at @VivaTech last week about the future of AI and the work we’re doing at Amazon. One thing is clear: for AI to truly help people, it has to earn our trust. That means being competent, reliable, transparent – and having the humility to say “I don’t know” when it’s uncertain.
We’re not just building systems that follow commands. Agents need good judgment. They must understand context, respect cultural nuance, and learn over time. In essence, we’re teaching them human values because the bar for trusting AI should be just as high as it is for trusting people.
When we get that right, AI can become a true thinking partner and help us expand human potential in ways we never thought possible.
If you're at #CVPR2025 , be sure to swing by the Amazon booth. We're excited to share some of the cool work our Amazon Just Walk Out team is doing, and we're actively hiring for multiple roles.
🚀 Amazon Nova Premier, our most capable teacher model for creating custom distilled models, is now available on Amazon Bedrock!
Built for complex tasks like Retrieval-Augmented Generation (RAG), function calling, and agentic coding, its one-million-token context window enables analysis of large datasets while being the most cost-effective proprietary model in its intelligence tier.
Learn more: https://t.co/StrUbhfuif
WOW! #AWS just announced it has trained more than 31 million learners across 200 countries through free cloud computing courses and programs since 2020 – that's 2 million learners more than the original goal! #AWSSummit https://t.co/njbP3q3NUH
"Success and Scale Bring Broad Responsibility" is one of our Amazon Leadership Principles. Read how employees #HereAtAWS put this into action during Amazon's Global Month of Volunteering. 🌎 https://t.co/agMS3Vdk3O