| 301. | Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 8 | 5 | |
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| 302. | Which Open-source LLM to Choose for Your Task? | 5 | |
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| 303. | BillionX acceleration using AI Emulators | AISC | 5 | |
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| 304. | Integrating Privacy is Integrating Ethics: What privacy could have done for Clearview AI | AISC | 5 | |
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| 305. | Model Packaging Overview (NLP + MLOps workshop sneak peak) | 5 | Let's Play |
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| 306. | Are long context LLMs the death of RAG? | 5 | |
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| 307. | COVID and Racial Inequity, and Implications for AI | 5 | |
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| 308. | Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges | 6 | |
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| 309. | LLM Starter Pack: A Pragmatic Guide to Success with the Large Language Models | 7 | |
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| 310. | Screening and analysis of specific language impairment | AISC | 6 | |
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| 311. | Consistency by Agreement in Zero-shot Neural Machine Translation | AISC | 6 | |
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| 312. | Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 2 | 6 | |
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| 313. | LabDAO - Decentralized Marketplace for Research in Life Sciences - DRT S2E11 | 6 | |
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| 314. | Should ensemble members be calibrated? | AISC | 6 | |
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| 315. | Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits | AISC | 6 | |
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| 316. | Building with LLMs Using LangChain | 6 | |
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| 317. | Evaluating Performance of Large Language Models with Linguistics - Deep Random Talks S2E5 | 6 | |
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| 318. | TeslaSenti: Near real-time sentiment analysis of Tesla tweets | Workshop Capstone | 6 | |
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| 319. | [DQN] Human-level control through deep reinforcement learning (discussions) | AISC Foundational | 6 | Discussion |
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| 320. | Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (discussions) | AISC | 6 | Discussion |
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| 321. | Mathematics of Deep Learning: Dropout- Session 10 | 6 | |
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| 322. | Prediction of Cardiac arrest from physiological signals in the pediatric ICU | TDLS Author Speaking | 6 | Vlog |
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| 323. | Location Intelligence Products: Goals and Challenges | AISC | 6 | |
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| 324. | EVE - Explainable Vector Embeddings - DRT S2E12 | 6 | |
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| 325. | 5 Commandments of Building LLM Products | 6 | |
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| 326. | LLM Products for Regulated Industries | 8 | |
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| 327. | Overview of Bias and Fairness in AI | 7 | |
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| 328. | A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosi | 7 | |
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| 329. | Building a LLM Testing API | 13 | |
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| 330. | Application of Bayesian neural networks for aircraft safety | AISC | 7 | |
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| 331. | Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC | 7 | Discussion |
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| 332. | Mathematics of Deep Learning: Gradient descent contd - Training - Session 12 | 7 | |
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| 333. | Visualizing Data using t-SNE (discussions) | AISC Foundational | 7 | Discussion |
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| 334. | Machine Learning Product Management in the Insurance Industry | 7 | |
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| 335. | An A-Z primer on the AI Product Lifecycle | AISC | 7 | |
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| 336. | Human Aware AI: Reducing Transportation Energy of a City by Influencing Individual Behaviour | 7 | |
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| 337. | High Dimensional Inference in the Universe | 7 | |
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| 338. | Meet the MLOps Experts, a fireside chat for newcomers to AI careers | 7 | |
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| 339. | Mathematics of Deep Learning: Chain Rule, Backpropagation & Autograd - Session 13 | 7 | |
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| 340. | 5-min [machine learning] paper challenge | AISC | 7 | |
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| 341. | Modern NLP: Review of Transformers- Session 5 | 7 | Let's Play |
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| 342. | Comparative Document Summarisation via Classification | AISC | 7 | |
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| 343. | Inverse design of nanoporous crystalline reticular materials with deep generative models | AISC | 7 | |
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| 344. | ThinkGPT: Agent and Chain of Thought techniques for LLMs | 8 | |
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| 345. | Wind Farm Generator Condition Monitoring | 7 | |
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| 346. | COVID19 and AI: Ethics and Data Rights Panel | AISC & NYAI | 7 | Discussion |
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| 347. | Representation Learning of Histopathology Images using Graph Neural Networks | AISC | 7 | Vlog |
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| 348. | Serina Chang: Understanding the spread of COVID-19 using Social Network Models | 7 | |
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| 349. | A Web-scale system for scientific knowledge exploration | AISC | 7 | |
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| 350. | An Introduction to the Quantum Tech Ecosystem | AISC | 7 | |
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| 351. | Designing quantum computers with generative models | AISC | 7 | |
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| 352. | Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC | 7 | Vlog |
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| 353. | LLMs in Production - A Costly Dilemma! | 8 | |
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| 354. | TDLS: Large-Scale Unsupervised Deep Representation Learning for Brain Structure | 8 | |
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| 355. | 2019 AI Squared Forum Paper Track | AISC | 8 | |
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| 356. | Superposition of Many Models into One | AISC | 8 | |
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| 357. | Joint Policy-Value Learning for Recommendation | AISC | 8 | |
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| 358. | Detecting Off-Topic Spoken Response with NLP | AISC | 8 | Let's Play |
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| 359. | Embeddings of weather forecast images for search and more | 8 | |
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| 360. | We Can Measure XAI Explanations Better with Templates | AISC | 8 | |
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| 361. | Flexible Neural Representation for Physics Prediction | AISC Trending Paper | 8 | |
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| 362. | Modeling Dissolution of Compact Planetary Systems | 8 | |
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| 363. | Women In AI Spring 2021 Showcase!!! | 8 | |
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| 364. | Deep Temporal Logistic Bag-of-Features For Forecasting High Frequency Limit Order Book Time Series | 8 | |
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| 365. | Introducing AI BRIEFS | 8 | |
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| 366. | Agora: Working Remotely with Ease | 8 | |
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| 367. | The AI Design Sprint -- setting your AI Initiative up for delivery success! | AISC | 8 | |
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| 368. | AISC | Women in AI | Dec 2019 | 8 | |
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| 369. | LLMs - Chunking Strategies and Chunking Refinement | 15 | |
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| 370. | SMOTE, Synthetic Minority Over-sampling Technique (discussions) | AISC Foundational | 8 | Discussion |
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| 371. | Quantum Technologies: State of Play | AISC | 8 | Vlog |
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| 372. | Evidential Reasoning Rule Based Feature Selection | AISC | 8 | |
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| 373. | Defining your AI Value Model for Product Success (and Profit) | AISC | 8 | |
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| 374. | Program Language Translation Using a Grammar-Driven Tree-to-Tree Model | TDLS | 8 | |
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| 375. | Machine Learning for Forecasting Global Atmospheric Models | AISC | 8 | |
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| 376. | Customer reviews summarization with Seq2Seq architecture and attention | NLP Workshop Capstone | 8 | Let's Play |
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| 377. | Decoding our thoughts: Tracking the contents of (non)-conscious working memory | AISC | 9 | |
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| 378. | Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial | AISC | 9 | Preview |
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| 379. | Founders Stream: Customer Journey Maps in a Post-COVID-19 World | AISC | 9 | |
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| 380. | De-identification of patients’ protected health information (PHI) from medical free-text | AISC | 9 | Guide |
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| 381. | TalentDAO- How does decentralized scientific publishing work - Deep Random Talks S2E6 | 9 | |
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| 382. | Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling | 9 | |
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| 383. | Explainable Classifiers Using Counterfactual Approach | AISC | 9 | |
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| 384. | RadioAssistant - Ranking Radiology Patients using Deep Learning | Workshop Capstone | 9 | |
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| 385. | Algorithmic Inclusion: A Scalable Approach to Reducing Gender Bias in Google Translate | AISC | 9 | |
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| 386. | Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation | 9 | |
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| 387. | PandasAI - Talk to Your Data | 9 | |
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| 388. | Content Tree Word Embedding for document representation | AISC | 9 | |
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| 389. | RecSys, Reverse Engineering User's Needs and Desires | AISC | 9 | |
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| 390. | Building a better climate model with Machine Learning | AISC | 9 | |
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| 391. | AI Product Stream Meet and Greet | AISC | 9 | |
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| 392. | Predicting translational progress in biomedical research | AISC | 9 | |
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| 393. | Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation | AISC | 9 | |
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| 394. | Deploying a News Summarizer RSS Feed App | NLP Workshop Capstone | 9 | Let's Play |
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| 395. | Conceptual understanding through efficient inverse-design of quantum optical experiments | AISC | 9 | |
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| 396. | AISC Abstract Night | 9 | |
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| 397. | Reinforcement Learning: Rainbow Algorithm - Session 11 | 9 | |
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| 398. | Detecting Customer Complaint Escalation w/ Recurrent Neural Networks & Manually-Engineered Features | 9 | |
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| 399. | Swim Stroke Analytic: Front Crawl Pulling Pose Classification | AISC | 9 | |
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| 400. | Revolutionizing Diet and Health with CNN's and the Microbiome | 9 | |
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