AI News, Multi artificial intelligence

Frequently Asked Questions (FAQs) About the National Artificial Intelligence (AI) Research Institutes Program (NSF 20-503)

In Theme 6: AI for Discovery in Physics, the solicitation states that NSF seeks Institutes 'that advance AI and accelerate discovery in the physical sciences.'

An Institute proposal under Theme 6, as stated in the solicitation, should demonstrate how the Institute will advance both AI and domains supported by the Division of Physics at NSF.

PIs considering submission to this theme are encouraged to consult the description of physics domains supported by the Division of Physics at

One of Many Reasons Tech Stocks are Zeroing in on Artificial Intelligence (AI) Opportunities in Flourishing Multi-Billion Market

PALM BEACH, Florida, Nov. 19, 2019 /PRNewswire/ -- In the vast and wide open Artificial Intelligence (AI) industries, a great example of many showing growth in this sector is speech recognition technologies which are increasingly being recognized as cost-effective and convenient mechanisms to control several types of connected smart homes devices, cars, and other smart technologies.

The report continued: "The growth of the overall speech and voice recognition market is primarily driven by factors, such as rising acceptance of advanced technology together with increasing consumer demand for smart devices, a growing sense of personal data safety and security, and increasing usage of voice-enabled payments and shopping by retailers.

Radiants' systems providing live streaming and real-time image analysis of immersive 360-degree video can be applied to a variety of industries and use cases, from the battlefield to the factory floor. Read this full press release and more news for HWKE here: Other recent developments in the tech industry markets this week include: NVIDIA Corporation (NASDAQ: NVDA) recently reported revenue for the third quarter ended Oct. 27, 2019, of $3.01 billion compared with $3.18 billion a year earlier and $2.58 billion in the previous quarter. GAAP earnings per diluted share for the quarter were $1.45, compared with $1.97 a year ago and $0.90 in the previous quarter.

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You are cautioned that such statements are subject to a multitude of risks and uncertainties that could cause future circumstances, events, or results to differ materially from those projected in the forward-looking statements, including the risks that actual results may differ materially from those projected in the forward-looking statements as a result of various factors, and other risks identified in a company's annual report on Form 10-K or 10-KSB and other filings made by such company with the Securities and Exchange Commission.

Northrop Grumman to fund multi-application AI research though new CMU agreement

Last month, Carnegie Mellon and Northrop Grumman signed a new master research agreement that will better allow the aerospace and defense company to kick start university research projects.

camera, heat sensors, etc.) to search [for signs of life] faster.” Cherry says that this project’s applications “are very broad beyond disaster recovery, to any mission where autonomous platforms are scouting ahead.” Cherry told The Tartan that Northrop Grumman “does not own exclusive rights to the intellectual property” of each researcher’s work, so currently, SOTERIA projects won’t be repackaged for other applications.

She added that other uses could include “monitoring traffic in smart cities” or “monitoring road infrastructure conditions.” Neubig, another head SOTERIA researcher, is designing a new data description language to “be used by [analysts] to express their information needs, and then be used by machine learning methods to train automatic information extractors that learn jointly across multiple information classes.” In short, it’s an expansion of natural language-understanding technologies.

Metzler says that although no one from the JAIC was involved in the planning of these projects or the agreement itself, having projects that support JAIC initiatives “allows us to really understand their problems, show how we’re solving them, and then drive into some joint research – customer funded research – between Northrop Grumman and Carnegie Mellon.” The master research agreement (MRA), signed Oct. 30, will soon promote a larger network of Northrop Grumman-supported Carnegie Mellon research, Metzler says.

Michael McQuade, Carnegie Mellon’s Vice President for Research could not be reached for comment but stated in the MRA’s press release that, “having companies like Northrop Grumman sponsor research at CMU is an important component of how industry and universities partner to support the nation’s vibrant innovation ecosystem.” McQuade continued, “Working together, we can accelerate the transformation of knowledge learned through basic research into applied commercial products.”

Multi-Agent Hide and Seek

We've observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated ...

DeepMind - The Role of Multi-Agent Learning in Artificial Intelligence Research

Thore Graepel is a Research Scientist at Google DeepMind, and Professor of Computer Science at UCL. Recorded: March, 2017.

The Role of Multi-Agent Learning in Artificial Intelligence Research at DeepMind

Event Blurb: In computer science, an agent can be thought of as a computational entity that repeatedly perceives the environment, and takes action so as to ...

Tech Showcase: Confidential AI: Secure Multi-Party Artificial Intelligence

This project proposes a combination of new secure hardware for acceleration of machine learning (including custom silicon and GPUs), and cryptographic ...

AI 101 [Part 3]: Intelligent Agents

In part 3 of this series, we define the idea of an 'agent'. Agents are one of the key foundations of AI theory and we discuss what an agent is and how we humans ...

Distributed Artificial Intelligence for Multiple Agents

The complex tasks which a scientist performs require that the agent uses multiple abilities or that multiple agents cooperate with each other. Information systems ...

OpenAI Plays Hide and Seek…and Breaks The Game! 🤖

Check out Weights & Biases here and sign up for a free demo: Their blog post is available here: ..

How to Solve Car Parking with Artificial Intelligence | Use Case | Blockchain AI |

Lead research scientist Marcin Abram explains how Fetch.AI agents detect the availability of parking spaces, enabling drivers to reserve a place to park before ...

DeepMind - Multiple Scales of Reward & Task Learning - Jane Wang

Jane Wang of DeepMind presents Multiple scales of reward and task learning at NIPS2017 on December 7th, 2017.

AI Learns to Park - Deep Reinforcement Learning

An AI learns to park a car in a parking lot in a 3D physics simulation. The simulation was implemented using Unity's ML-Agents framework ...