AI News, AI Index 2019 Report artificial intelligence

Insights from the AI Index 2019 Annual Report

That’s exciting, in some ways, that there’s this infusion of expertise into industry, but it’s also concerning in some ways… Because at least from my perspective, it seems like – you know, when I’m thinking about Academia, this gap between how in touch Academia is with industry is separating more and more, in certain ways… So I would love to see industry and Academia be closer, and people coming out of university programs really ready practically to do jobs… But I’m not sure that that’s really happening, because the AI professors in Academia that are interested in industry stuff are just leaving to go to industry, and then what’s left is just pure academic research, which is interesting, but maybe in some ways less connected to industry problems.


This is an eclectic collection of interesting blog posts, software announcements and data applications from Microsoft and elsewhere that I've noted recently.

OpenAI announces it is standardizing on PyTorch, a move likely to affect future releases of deep learning models released by the research institution.

RStudio reorganizes as a Public Benefit Corporation, with a charter to create free and open-source software for data science, scientific research, and technical communication.

Microsoft launches AI for Health, a $40M five-year program that provides grants, data science experts, technology, and other resources to tackle health issues with AI.

Azure Machine Learning service now supports VMs with single root input/output virtualization and InfiniBand, to speed up the process of training large deep learning models like BERT.

InterpretML, an open-source Python package that implements Explainable Boosting Machine to train interpretable machine learning models and explain black-box systems, is now available as an Alpha release.

fairlearn 0.4.1, the latest release of the Python package for assessing the fairness and mitigating the observed unfairness of AI systems, is now available.

Includes Jupyter notebooks implementing state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on problems involving text and language.

Generative music playing in the lobby of a NYC hotel (created by Musician Björk in partnership with Microsoft) reacts to weather and migrating flocks of birds detected in a rooftop camera.

Duos Technologies Group Reports Record Preliminary Fourth Quarter and Full Year 2019 Revenue Results; Reaffirms Full Year 2020 Revenue Guidance of $20 Million

Based on preliminary unaudited results, the Company expects total revenue for the fourth quarter of 2019 to be a record $5.7 million, representing an increase of 123% from $2.6 million in the same year-ago period.

The company reaffirmed its previously issued total revenue guidance of $20 million for the fiscal year ending December 31, 2020, which would represent an increase of 47% compared to preliminary 2019 results.

"Our record preliminary results for 2019 reflect the successful execution on our long-term strategic roadmap as well as the efforts of our entire team, who worked through the holidays to meet various project completion deadlines,"

Certain recent operational highlights contributed to the Company's strong preliminary Q4 2019 results: Arcaini added: "Our innovation team is working to develop a number of new disruptive technologies for the various verticals we serve.

The Company's core competencies include intelligent technologies that combine machine learning, artificial intelligence and advanced video analytics that are delivered through its proprietary integrated enterprise command and control centraco® platform.

The Company provides its broad range of technology solutions with an emphasis on mission critical security, inspection and operations within the rail transportation, retail, petrochemical, government, and banking sectors.

Annual Report for Artificial Intelligence: Nothing Fake Here

Ladies and gentlemen, it is a brand new year and time to view 2019 in perspective.

The official name is the AI Index 2019 Report, which is a comprehensive roundup of AI studies, learn more in the HAI News post, “Introducing The AI Index 2019 Report.” The AI Index Report is in its third year with the prior two publications establishing it as a prominent information source about AI developments.

Luis Lamb - Homepage:: Social Computing; Logics; Artificial Intelligence; Neural and Cognitive Computation

Informatics - UFRGS

Informationabout my research, including a brief CV and recent publications.

Someonline papers – full list of publications is here:

Jan 27 – Feb 1, 2019.

Springs, CA, Nov. 6-9, 2013.

cognitive computation) MemeticNetworks: analyzing the effects of network properties in multi-agent performance.

3-8, Chicago, AAAI Press 2008).

Aconnectionist cognitive model for temporal synchronisation and learning.

827-832, Vancouver CA, AAAI Press 2007.

synchronization and learning in cognitive models) Aninformation-theoretic analysis of memory bounds in a distributed resource

allocation mechanism.

212-217, Hyderabad, AAAI Press 2007.

Reasoningabout time and knowledge in neural-symbolic learning systems. A.d’Avila

includes a full solution to the Muddy Children Puzzle)

Selectedjournal papers on Neural-Symbolic Computing, AI &

FLAP 6(4): 611-632 (2019) FelipeGrando, Lisandro Granville and Luis C.

Surveys, 51(5), article 102, Oct 2018 (online) Jan 2019.

media coverage in “The Register” here.

were used in the 2019 AI Index report - from the Human-Centered

of search and evaluation in online problem-solving social networks

with financial and non-financial incentives.

and rankings in the Brazilian universities national admission

4(9): 50-84, 2015.

cognitive model of argumentation with application to legal inference

structure prediction: Methods and computational strategies. Computational Biology

non-Markovian computational model of the statistics of soccer leagues:

in population bargaining in the ultimatum game: static and

2007, 371(1-2):34-53, 2007(Elsevier link) d’AvilaGarcez;

2006, 18(7):1711-1738, please click here (MIT Press link) d’AvilaGarcez;

Comput.2005, 15(6):1041-1058 please click here (Oxford U.Press link)

deduction for conditional logics of normality.

Ihave (not so) recently co-authored this research monograph on non-classical

86380 296 6 Research Studies

Physics Publishing, Philadelphia 2004 Ihave not so recently co-edited the following volumes:Table of

Representation, and Reasoning Co-organizer:DagstuhlSeminar 17192: Human-Like Neural-Symbolic Computing – May 7-12, 2017

NeSy'17:12th International Workshop on Neural-Symbolic Learning and Reasoning Orientação(Supervision) Cliqueaqui para Informações se você está interessado em pesquisa conjunta/orientação(information for

orientadores e orientandos.

Ensino(Teaching) Administração(Administration) Thegreatest football team in the world

3308 9464 (Direct dial)/+55(51)3308 7019 Av. Bento Gonçalves

55(51) 3308 730891501-970

Afew interesting links (before social media sites, massive search, blogs

and the like people would suggest such links, typically in their

1990s pages) Areyou interested in logic, mathematics

and computing (including their history)?