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tives from our scientists news research milestones and recent achievements collaborations collaborations amazon research awards overview call for proposals latest news research stories recipients amazon nova ai challenge overview rules faqs teams research collaborations overview carnegie mellon university columbia university hampton university howard university iit bombay johns hopkins university max planck society mit tennessee state university university of california los angeles university of illinois urbana champaign university of southern california university of texas at austin virginia tech university of washington amazon research awards overview call for proposals latest news research stories recipients amazon nova ai challenge overview rules faqs teams research collaborations overview carnegie mellon university columbia university hampton university howard university iit bombay johns hopkins university max planck society mit tennessee state university university of california los angeles university of illinois urbana champaign university of southern california university of texas at austin virginia tech university of washington resources resources code and datasets amazon nova try amazon s frontier foundation models code and datasets amazon nova try amazon s frontier foundation models careers careers careers explore our open roles amazon scholars faculty research opportunities on industry scale technical challenges postdoctoral science program early career research opportunities alongside experienced industry scientists careers explore our open roles amazon scholars faculty research opportunities on industry scale technical challenges postdoctoral science program early career research opportunities alongside experienced industry scientists social bluesky threads twitter instagram youtube facebook linkedin github rss menu research research areas automated reasoning cloud and systems computer vision conversational ai economics information and knowledge management machine learning operations research and optimization quantum technologies robotics search and information retrieval security privacy and abuse prevention sustainability our scientific contributions publications research from our scientists and collaborators conferences our experts present and discuss cutting edge research at scientific meetings globally research areas automated reasoning cloud and systems computer vision conversational ai economics information and knowledge management machine learning operations research and optimization quantum technologies robotics search and information retrieval security privacy and abuse prevention sustainability our scientific contributions publications research from our scientists and collaborators conferences our experts present and discuss cutting edge research at scientific meetings globally news blog the latest from amazon researchers amazon science blog technical deep dives and perspectives from our scientists news research milestones and recent achievements the latest from amazon researchers amazon science blog technical deep dives and perspectives from our scientists news research milestones and recent achievements collaborations amazon research awards overview call for proposals latest news research stories recipients amazon nova ai challenge overview rules faqs teams research collaborations overview carnegie mellon university columbia university hampton university howard university iit bombay johns hopkins university max planck society mit tennessee state university university of california los angeles university of illinois urbana champaign university of southern california university of texas at austin virginia tech university of washington amazon research awards overview call for proposals latest news research stories recipients amazon nova ai challenge overview rules faqs teams research collaborations overview carnegie mellon university columbia university hampton university howard university iit bombay johns hopkins university max planck society mit tennessee state university university of california los angeles university of illinois urbana champaign university of southern california university of texas at austin virginia tech university of washington resources code and datasets amazon nova try amazon s frontier foundation models code and datasets amazon nova try amazon s frontier foundation models careers careers explore our open roles amazon scholars faculty research opportunities on industry scale technical challenges postdoctoral science program early career research opportunities alongside experienced industry scientists careers explore our open roles amazon scholars faculty research opportunities on industry scale technical challenges postdoctoral science program early career research opportunities alongside experienced industry scientists search submit search why don t machine learning research agents overfit new research indicates that ai agents learn compressible models of data which don t have enough space to enable memorization read more developing provably correct rust code with verus how the verus program verifier which automatically checks code against a mathematical specification of its functionality helps increase security assurance in software projects read more a decade of mathematical certainty ten years after we founded the automated reasoning group mathematical logic has moved from academic research into production services that secure millions of customer workloads demonstrating that systems can be provably correct not just probably correct read more a new benchmark for evaluating patient facing health ai agents patientagentbench generates a synthetic patient health record a realistic clinical vignette and a patient agent that converses with the ai system under evaluation to capture what a patient facing agent actually has to do read more graviton5 s improved design increases speed and energy efficiency beyond moore s law a new chiplet architecture custom die to die connectivity and support for ddr5 8800 memory and the latest pcie gen6 interconnects improve performance by 25 for general purpose and agentic ai workloads read more amazon news why don t machine learning research agents overfit developing provably correct rust code with verus a decade of mathematical certainty a new benchmark for evaluating patient facing health ai agents graviton5 s improved design increases speed and energy efficiency beyond moore s law customer obsessed science our approach research areas automated reasoning cloud and systems computer vision conversational ai economics information and knowledge management machine learning operations research and optimization quantum technologies robotics search and information retrieval security privacy and abuse prevention sustainability from the blog view all technical deep dives and perspectives from our scientists view all advancing ai for biology teaching models to design and characterize antibodies september 21 2026 11 min read three new papers from amazon bio discovery address bottlenecks in ai driven antibody engineering from benchmarking binding predictors to experimentally validating de novo design machine learning when llm judges agree should we believe them august 26 2026 5 min read conversational ai sop bench a new benchmark for evaluating ai agents on real business procedures august 21 2026 9 min read conversational ai how controllers from industrial machinery can coordinate multitask machine learning july 30 2026 8 min read machine learning amazon and university of michigan give robots a sense of touch july 10 2026 5 min read robotics view all featured news 34 amazon research awards build on trainium recipients announced the build on trainium program is a 110 million credit initiative supporting ai research at 30 universities including stanford uc berkeley uiuc ucla cmu and mit with a focus on responsible ai aws and hopkins engineering announce database for ai ml antibody design the antibody developability benchmark is powered by one of the most diverse antibody datasets in public literature enabling transparent performance evaluation for ai guided antibody design 2026 amazon nova ai challenge trusted software agents track challenge pushes teams to demonstrate measurable gains in secure coding performance while building ai agents that advance real world utility and reliability at scale amazon launches 68 million ai phd fellowship program initiative will fund over 100 doctoral students researching machine learning computer vision and natural language processing at nine universities publications view all view all deploying programmatic tool calling with pre execution validation for production agentic systems nhan nguyen hadi habibzadeh ahmad magdy eid emnlp 2026 2026 production tool calling for agentic systems must satisfy four operational requirements lower per invocation cost low latency adaptability to evolving tool catalogs and the ability to catch errors before execution the react paradigm keeps the large language model llm in the loop but at production scale reprocessing intermediate results inflates cost and latency and degrades answer quality programmatic cloud and systems trace traceable root cause analysis with calibrated evidence grounded agents aniket joshi cyrus dsouza sejal jain manjunath channappagoudar emnlp 2026 2026 root cause analysis rca for defects in large e commerce enterprises is manual and slow a single defect spanning thousands of microservices and sops takes experts one to two weeks to diagnose generic agentic rca frameworks fail on this workload because they stop at proximate causes cannot verify numeric claims ignore past reviewer decisions and return enumerated hypotheses rather than the quantified automated reasoning on optical add drop multiplexing architecture for hyperscale backbone networks ahmad abdo psc 2026 international conference on photonics in switching and computing 2026 we analyze optical add drop multiplexing architecture trade offs for cloud content providers focusing on g snr operations reliability and cost power we show that as coherent baud rates increase directly attaching transponders to the wss satisfies all key metrics cloud and systems beyond the harness end to end optimization of context artifacts for enterprise text to sql kate gwimm carson eisenach colm 2026 workshop on context beyond the window 2026 deploying llms for enterprise text to sql is bottlenecked less by the model than by what context reaches it business logic spans thousands of tables and no model can ingest a full catalog at once we argue that the most effective place to intervene is therefore the knowledge base context the model consumes and that this context should be constructed from historical usage rather than tuned for as a fixed machine learning beyond task success an eight metric tiered evaluation protocol for llm agents over fragmented operational data neeraj baji colm 2026 2026 single metric task success scores systematically misrank llm agents in domain specific deployments two configurations can achieve identical end to end accuracy while exhibiting structurally different production behaviors silent argument hallucination infinite tool loops redundant retries semantically equivalent but syntactically divergent queries we propose a behavioral evaluation protocol that decomposes machine learning load more collaborations view all whether you re a faculty member or student there are number of ways you can engage with amazon view all gretchen ertl amazon research awards the program offers unrestricted funds and other resources to support research at academic institutions and non profit organizations in areas that align with our mission amazon nova ai challenge a global university competition to drive secure innovation in generative ai technology which focuses on responsible ai and large language model coding security credit wolfram scheible research collaborations we partner with particular academic organizations across the world for deep and sustained collaborations in multiple research areas of mutual interest courtesy of pai ling yin amazon scholars we hire world class academics to work on large scale technical challenges while they continue to teach and conduct research at their universities view all work with us see more jobs see more jobs head of flight dynamics amazon leo us wa redmond the head of flight dynamics is the single threaded leader responsible for orbital maneuvering orbital safety and orbital performance across amazon leo s current and future satellite constellations this role directly impacts service reliability for millions of customers worldwide through safe precise on orbit operations and industry leading space safety practices you will lead an organization of engineers research scientists and software developers building the algorithms end to end ground system products analysis tools and infrastructure that enable safe and precise operation of leo satellites at constellation scale you will also lead special flight dynamics programs including gnss independence space traffic coordination services and space situational awareness the ideal candidate thrives in ambiguity operates autonomously while building alignment across organizations and has a proven track record of delivering complex cross organizational technical programs that solve critical technical and business challenges you will partner directly with engineering leaders product managers legal and regulatory teams and senior leo leadership to drive technical clarity architect solutions make strategic trade offs and deliver these enabling capabilities for amazon leo you will embody amazon s leadership principles particularly ownership dive deep are right a lot and hire and develop the best export control requirement due to applicable export control laws and regulations candidates must be a u s citizen or national u s permanent resident i e current green card holder or lawfully admitted into the u s as a refugee or granted asylum key job responsibilities own the flight dynamics roadmap and technical strategy including forward looking initiatives that enable amazon leo to deliver a best in class customer experience and leadership in orbital safety build lead and develop a high performing organization of engineering managers and senior individual contributors hire and grow top talent and foster a culture of innovation operational excellence and customer obsession own and lead the architecture development and deployment of resilient ground software services and infrastructure that manage safe orbital maneuver operations of amazon leo satellites ascent station keeping collision avoidance and end of life descent for re entry own and lead the development of algorithms for orbit determination trajectory planning and guidance and high fidelity orbit modeling and prediction collaborate closely with gn c and mission operations to enable safe auton...