401. | Machine Learning for Cyber Security: Graphs in CS - Session 13 | 288 | |
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402. | TDLS - Announcing Fast Track Stream | 286 | |
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403. | AI and ML toward Telcom future | AISC | 285 | |
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404. | Explaining image classifiers by removing input features using generative models | AISC | 285 | |
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405. | DLIME - Let's dig into the code (model explainability stream) | 285 | |
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406. | Normie Tools for Validating LLM Outputs | 284 | |
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407. | Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning | AISC | 283 | |
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408. | PatentNet: Search for the Next Best Invention with Confidence | 282 | |
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409. | Founders Stream: Customer Journey Maps in a Post-COVID-19 World | AISC | 281 | |
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410. | TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion) | 280 | Discussion |
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411. | Machine Learning for Cyber Security: Graph Theory - Session 12 | 279 | |
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412. | Data-Driven Behavior Change and Personalization - DRT S2E10 | 277 | |
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413. | LLM Starter Pack: A Pragmatic Guide to Success with the Large Language Models | 277 | |
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414. | EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis | 275 | |
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415. | Machine Learning in Mobile Cybersecurity: An Overview | 272 | |
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416. | Predicting and Understanding Human Choices using PCMC-Net with an application to Airline Itineraries | 272 | |
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417. | Science of science: Identifying Fundamental Drivers of Science | AISC | 271 | |
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418. | Machine Learning Product Challenges on Aggregate Intellect | 270 | |
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419. | AI Ethics Then & Now: A Look Back on the Last Five Years | AISC | 270 | |
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420. | Algorithmic Inclusion: A Scalable Approach to Reducing Gender Bias in Google Translate | AISC | 269 | |
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421. | Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone | 269 | |
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422. | Model Selection for Optimal Prediction in Statistical Learning - Part 2 / 2 | AISC | 269 | |
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423. | Overview: Machine Learning for Quantum Matter Research | AISC | 267 | |
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424. | Policy Priority Inference: Simulations for Government Strategy | AISC | 267 | |
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425. | AI Product, Part 2: Frameworks | 264 | |
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426. | Augmented Out-of-sample Comparison Method for Time Series Forecasting Techniques | AISC | 263 | |
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427. | Explainable AI, Session 2: Why Do We Need Machine Learning Explanations | 263 | |
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428. | Diving Into Document Question and Answering Systems with LLMs | 263 | |
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429. | Embeddings of weather forecast images for search and more | 262 | |
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430. | Data exploration – can machine learning discover new drugs? | AISC | 260 | |
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431. | Artificial Intelligence, Ethics and Bias | AISC | 260 | |
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432. | Reinforcement Learning: Fundamentals - Session 2 | 259 | |
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433. | Building your Product Strategy - A Guide | AISC | 258 | Guide |
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434. | Machine Learning and Empathy - Deep Random Talks - Episode 16 | 253 | |
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435. | Mathematics of Deep Learning: 2D convolutions, pooling, dilated convolutions - Session 7 | 253 | |
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436. | Teachers Are Burning Out. We Built an AI to Help. | 252 | |
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437. | A Web-scale system for scientific knowledge exploration | AISC | 250 | |
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438. | Building with LLMs Using LangChain | 248 | |
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439. | Predicting translational progress in biomedical research | AISC | 246 | |
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440. | AI Product, Part 9: Long-term Validation | 245 | |
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441. | Nodes, Edges and Properties; Graph Analysis Intro for ML Newcomers | 244 | |
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442. | Detecting Customer Complaint Escalation w/ Recurrent Neural Networks & Manually-Engineered Features | 243 | |
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443. | Community-Driven Product Development - Deep Random Talk S2E3 | 242 | |
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444. | Revolutionizing Diet and Health with CNN's and the Microbiome | 241 | |
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445. | Pink Diamond - Data Driven Prediction of Venture Success | Workshop Capstone | 239 | |
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446. | Parallel Collaborative Filtering for the Netflix Prize (results & discussion) AISC Foundational | 239 | Discussion |
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447. | Mathematics of Deep Learning: Linear Algebra III: non-linearities - Session 4 | 236 | |
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448. | Constructing Synthetic Datasets using LLMs | 235 | |
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449. | Unfolding the Maze of Funding Deep Tech; Metafold - DRT S2E14 - Ft. Moien Giashi, Alissa ross | 235 | |
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450. | COVID19 and AI: Ethics and Data Rights Panel | AISC & NYAI | 234 | Discussion |
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451. | Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation | 234 | |
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452. | Locality Guided Neural Networks for Explainable AI | AISC | 233 | Guide |
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453. | Decoding our thoughts: Tracking the contents of (non)-conscious working memory | AISC | 233 | |
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454. | Joint Policy-Value Learning for Recommendation | AISC | 233 | |
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455. | 2019 AI Squared Forum Paper Track | AISC | 230 | |
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456. | Which Open-source LLM to Choose for Your Task? | 228 | |
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457. | Autonomous Experiments for Structural Design in 3d Printing | 226 | |
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458. | Some Salient Issues with Saliency Models | AISC | 226 | |
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459. | Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC | 225 | Vlog |
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460. | Competitive Advantage for Startups in era of LLMs | 223 | |
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461. | Machine Learning for Cyber Security - Session 3 | 222 | |
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462. | High Dimensional Inference in the Universe | 222 | |
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463. | Running LLMs in Your Environment | 222 | |
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464. | We Can Measure XAI Explanations Better with Templates | AISC | 221 | |
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465. | RadioAssistant - Ranking Radiology Patients using Deep Learning | Workshop Capstone | 221 | |
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466. | Compact Neural Representation Using Attentive Network Pruning | AISC | 221 | |
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467. | AI for Fun! | 221 | |
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468. | Testing Strategies for LLMs - SHERPA - Open Source Project Update, 2023-12-08 | 220 | Vlog |
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469. | IdeaProof: An AI That Turns Half-Baked Ideas Into Actionable Strategies | 219 | |
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470. | Designing quantum computers with generative models | AISC | 218 | |
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471. | Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Net | 216 | |
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472. | Are long context LLMs the death of RAG? | 215 | |
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473. | Reinforcement Learning: Deep Q-Learning Exercise - Session 10 | 214 | |
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474. | Grammatical Error Correction for Legal Professionals | 214 | |
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475. | The Importance of Strategy in AI Product Management | AISC | 212 | |
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476. | The People, Politics, & Histories Behind Machine Learning Datasets | AISC | 212 | |
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477. | Reinforcement Learning: AI Gym Environment - Session 15 | 211 | |
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478. | Product Ideation - Art of Finding the Right Problem to Work on! | AISC | 209 | |
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479. | Reducing Gender Bias in Google Translate | Melvin Johnson | AISC Algorithmic Inclusion | 208 | |
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480. | Towards a Critical Race Methodology in Algorithmic Fairness | AISC | 206 | Vlog |
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481. | Multi Agent Architecture: Using AI Agents in Game Development | 206 | |
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482. | Extracting Biologically Relevant Latent Space from Cancer Transcriptomes \w VAEs(discussions) I AISC | 206 | Discussion |
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483. | Why AI Agents Make Sense in Health Care | 204 | |
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484. | Machine Learning for Cyber Security: Graphs and ML- Session 14 | 204 | |
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485. | Limitations of Agentic Frameworks: When to Use a Custom Framework | 203 | |
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486. | Evaluating Performance of Large Language Models with Linguistics - Deep Random Talks S2E5 | 203 | |
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487. | Introducing AI BRIEFS | 202 | |
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488. | Machine Learning and Future of Education - Deep Random Talks - Episode 14 | 201 | |
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489. | Second Brain for Technical Knowledge Management- DRT S2 E4 | 200 | |
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490. | Statistical Issues in Agent-Based Models | AISC | 199 | |
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491. | Set Constrained Temporal Transformer for Set Supervised Action Segmentation | AISC | 199 | |
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492. | Semi Supervised Learning - Session 3 | 198 | |
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493. | LLMs as Agents | 198 | |
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494. | AISC Abstract Night | 197 | |
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495. | Conceptual understanding through efficient inverse-design of quantum optical experiments | AISC | 196 | |
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496. | AISC Abstract Night June 20 2019 | 196 | |
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497. | Is Amazon Bedrock Production Ready? | 196 | |
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498. | Modern NLP: Review of Transformers- Session 5 | 195 | Let's Play |
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499. | Operationalizing the AI Canvas for AI Product Success (and profit) | AISC | 195 | |
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500. | Agents Embedded in the Real World | 195 | |
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