Artificial Intelligence Conference 2018 New York
2018-04-30..2018-05-02
New York, United States
| title | author | length |
|---|---|---|
| Rapid AI Experimentation and Innovation | Dan Romuald Mbanga | 07m |
Claims a practical workflow that shrinks model iteration from about 14 days to 48 hours by automating data prep, training and deployment; uses Docker and… | ||
| AI for the Enterprise Ecosystem | Fiaz Mohamed | 03m |
A new partner program called Intel AI Builders formalizes connections between ISVs SIs and OEMs and provides exclusive access to an AI Dev Cloud for building… | ||
| Using Machine Learning to Reduce World Hunger | Jennifer Marsman | 10m |
Microsoft Research builds a low‑sensor precision agriculture system that predicts temperature moisture pH and leaf wetness from aerial imagery plus sparse… | ||
| Understanding Automation | Ben Lorica, Roger Chen | 08m |
A recent survey finds over half of companies plan to use deep learning and industry work combines methods (deep learning plus structured domain knowledge) to… | ||
| The Frontiers of Machine Learning and AI | Zoubin Ghahramani | 05m |
Deep learning is framed as a rebranding of 1970s neural networks but remains data-hungry, compute-intensive and poor at representing uncertainty, famously… | ||
| Autonomy and Human-AI Interaction | Manuela Veloso | 03m |
Describes an implemented mobile service robot that blends motion planning with spoken interaction to decide when to act versus ask for help, using a… | ||
| Fireside Chat | Peter Norvig, Kavya Kopparapu | 02m |
A Girls Computing League brings resources from a high school that has 14 research labs into under-resourced Title I schools, expands programming into the DC… | ||
| Increasing business results through AI in the entertainment industry | Fiaz Mohamed, Justin Herz | 04m |
Crowdsourced training on 300 episodes of Friends labels about 80,000 faces tagged by talent, emotion and intensity, then trains a pipeline that uses one talent… | ||
| WTT: What the Tensor? | Ron Bodkin | 07m |
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| The Physics of AI | Dario Gil | 12m |
Claims that quantum entanglement provides a practical classification advantage: experiments use superconducting qubits, microwave control via coaxial wiring… | ||
| Using Machine Learning in Workload Automation | Abhijit Deshpande | 07m |
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| Bringing AI into the Wild | Mary Beth Ainsworth | 05m |
SAS combines deep learning and computer vision to turn a digital archive of footprint images into an automated system that identifies species and gender… | ||
| Neural Interfaces: Connecting Humans and Artificial Intelligence | Thomas Reardon | 03m |
Describes decoding motor output by recording from motor cortex and muscles using an array and surface electromyography, then deconvolving that complex signal… | ||
| Serving Billions of Personalized News Feeds with AI | Meihong Wang | 03m |
System uses per-user probabilities for actions (click, like, share, hide) learned from historical user feedback signals and multiplies them by product-defined… | ||
| MLPerf: A Benchmark Suite for Machine Learning – David Patterson | David Patterson | 09m |
About 20 contributors from five organizations (including three universities and three industry firms) form a cooperative called MLPerf that builds a benchmark… | ||
| MLPerf: A Benchmark Suite for Machine Learning – Gu-Yeon Wei | Gu-Yeon Wei | 05m |
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| Using AI to extend the range of data scientist | Ron Bodkin | 11m |
Google announces concrete enterprise moves: 7,500 TensorFlow models in production, TPUs delivering best price/performance on ImageNet (DAWNBench), and AutoML… | ||
| Using AI to track wildlife patterns | Mary Beth Ainsworth | 11m |
SAS uses deep learning and computer vision to automate identification and measurement of animal footprints, turning decades of tracker expertise into a… | ||
| Tackling edge computing with Intel's AI Builders program | Fiaz Mohamed | 09m |
Intel lays out a concrete stack for edge AI: data‑center training on Xeon and accelerators, vision processing units and FPGAs for on‑device inference, an… | ||
| AI is poised to help with today's greatest global challenges | Jennifer Marsman | 12m |
Microsoft commits $250 million over five years to AI for Earth grants and cloud credits supporting agriculture, water, climate and biodiversity; over 100… | ||
| Marrying AI and data services | Abhijit Deshpande, Jayanti Murty | 22m |
A platform called igneel combines machine learning with curated enterprise knowledge to detect, predict and self-heal cross‑silo IT and business workflows… | ||
| nothing matches | ||