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Summary: This page lists NYC defense companies, but the content primarily focuses on two companies: MySwitchblade.com, which sells knives, and another company related to blockchain, security, and cryptocurrency. It does not appear to list startups.
defense startups based in NYC
Exa API
Built to provide AI applications with high quality web data. Powered by meaning-based search.
pip install exa_pyfrom exa_py import Exa
exa = Exa("EXA_API_KEY")
results = exa.search(
"latest developments in ML",
category="papers"
){
"results": [
{
"score": 0.1836702525615692,
"title": "Asymptotically Optimal Regret for Black-Box Predict-then-Optimize",
"id": "https://arxiv.org/abs/2406.07866",
"url": "https://arxiv.org/abs/2406.07866",
"publishedDate": "2024-06-12",
"author": "Tan; Samuel; Frazier; Peter I"
},
{
"score": 0.18168984353542328,
"title": "Machine Unlearning for Uplink Interference Cancellation",
"id": "https://arxiv.org/abs/2406.05945",
"url": "https://arxiv.org/abs/2406.05945",
"publishedDate": "2024-06-10",
"author": "Guven; Eray; Kurt; Gunes Karabulut"
},
{
"score": 0.17979080975055695,
"title": "Attention as an RNN",
"id": "https://arxiv.org/abs/2405.13956",
"url": "https://arxiv.org/abs/2405.13956",
"publishedDate": "2024-05-22",
"author": "Feng; Leo; Tung; Frederick; Hajimirsadeghi; Hossein; Ahmed; Mohamed Osama; Bengio; Yoshua; Mori; Greg"
},
{
"score": 0.17959752678871155,
"title": "FaithFill: Faithful Inpainting for Object Completion Using a Single Reference Image",
"id": "https://arxiv.org/abs/2406.07865",
"url": "https://arxiv.org/abs/2406.07865",
"publishedDate": "2024-06-12",
"author": "Mallick; Rupayan; Abdalla; Amr; Bargal; Sarah Adel"
},
{
"score": 0.17918667197227478,
"title": "Talking Heads: Understanding Inter-layer Communication in Transformer Language Models",
"id": "https://arxiv.org/abs/2406.09519",
"url": "https://arxiv.org/abs/2406.09519",
"publishedDate": "2024-06-13",
"author": "Merullo; Jack; Eickhoff; Carsten; Pavlick; Ellie"
},
{
"score": 0.17634162306785583,
"title": "FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar",
"id": "https://arxiv.org/abs/2406.04546",
"url": "https://arxiv.org/abs/2406.04546",
"publishedDate": "2024-06-06",
"author": "Kahya; Sabri Mustafa; Sivrikaya; Boran Hamdi; Yavuz; Muhammet Sami; Steinbach; Eckehard"
},
{
"score": 0.17634151875972748,
"title": "xLSTM: Extended Long Short-Term Memory",
"id": "https://arxiv.org/abs/2405.04517",
"url": "https://arxiv.org/abs/2405.04517",
"publishedDate": "2024-05-07",
"author": "Beck; Maximilian; Pöppel; Korbinian; Spanring; Markus; Auer; Andreas; Prudnikova; Oleksandra; Kopp; Michael; Klambauer; Günter; Brandstetter; Johannes; Hochreiter; Sepp"
},
{
"score": 0.17621161043643951,
"title": "World Models with Hints of Large Language Models for Goal Achieving",
"id": "https://arxiv.org/abs/2406.07381",
"url": "https://arxiv.org/abs/2406.07381",
"publishedDate": "2024-06-11",
"author": "Liu; Zeyuan; Huan; Ziyu; Wang; Xiyao; Lyu; Jiafei; Tao; Jian; Li; Xiu; Furong; Xu; Huazhe"
},
{
"score": 0.17613205313682556,
"title": "Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images",
"id": "https://arxiv.org/abs/2405.03762",
"url": "https://arxiv.org/abs/2405.03762",
"publishedDate": "2024-05-06",
"author": "Gomez; Jorge Tapias; Rangnekar; Aneesh; Williams; Hannah; Thompson; Garcia-Aguilar; Julio; Smith; Joshua Jesse; Veeraraghavan; Harini"
},
{
"score": 0.17593073844909668,
"title": "MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes",
"id": "https://arxiv.org/abs/2404.15668",
"url": "https://arxiv.org/abs/2404.15668",
"publishedDate": "2024-04-24",
"author": "Ma; Xiaolong; Yan; Feng; Lei; Foster; Ian; Papka; Michael E; Liu; Zhengchun; Kettimuthu; Rajkumar"
}
],
"requestId": "abb0f98756d6c722ca35e06e0970652b"
}just a few lines of code, or integrate with:
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“Exa feeds our deep research AI, which helps sales people research their prospects. Without Exa's speed and quality over the web, this would be hard to pull off!”
“Models are only as good as the data they're trained on, and Exa's search allowed us to get high quality data we couldn't find any other way”
“Exa is good, really good. We went from multiple API calls and scraping into a single <1s fast call. The results are way different than traditional search, and way better. Our users love it!”
“Exa feeds our deep research AI, which helps sales people research their prospects. Without Exa's speed and quality over the web, this would be hard to pull off!”
“Models are only as good as the data they're trained on, and Exa's search allowed us to get high quality data we couldn't find any other way”
“Exa is good, really good. We went from multiple API calls and scraping into a single <1s fast call. The results are way different than traditional search, and way better. Our users love it!”