giovedì, Marzo 4, 2021

Enoturismo, 50mila degustazioni per fare ripartire la Toscana nel 2021

marketing territorialeLa strategia di AViTo, associazione tra 22 consorzi dei vini Doc toscani (che coprono più del 90% della produzione regionale con oltre 1...
Home International Three MIT faculty elected 2020 ACM Fellows | MIT News

Three MIT faculty elected 2020 ACM Fellows | MIT News

Three MIT computer science faculty members have been elected as fellows of the Association for Computing Machinery (ACM).

The new fellows are among 95 ACM members recognized as the top 1 percent for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Fellows are nominated by their peers, with nominations reviewed by a distinguished selection committee.

Anantha Chandrakasan is dean of the School of Engineering and the Vannevar Bush Professor of Electrical Engineering and Computer Science. He leads the MIT Energy-Efficient Circuits and Systems Group, which works on a variety of projects such as ultra-low-power internet-of-things devices, energy-efficient processors, machine learning processors, hardware security for computing devices, and wireless systems. He was recognized as a 2020 ACM fellow for energy-efficient design methodologies and circuits that enable ultra-low-power wireless sensors and computing devices.

Alan Edelman is an applied mathematics professor for the Department of Mathematics, the Applied Computing Group leader for the Computer Science and Artificial Intelligence Laboratory, and co-founder of the Julia programming language. His research includes high-performance computing, numerical computation, linear algebra, random matrix theory, and scientific machine learning. He was recognized as a 2020 ACM fellow for contributions to algorithms and languages for numerical and scientific computing.

Samuel Madden is the MIT Schwarzman College of Computing Distinguished Professor of Computing. Madden’s research is in the area of database systems, focusing on database analytics and query processing, ranging from clouds to sensors to modern high-performance server architectures. He co-directs the Data Systems for AI Lab initiative and the Data Systems Group, investigating issues related to systems and algorithms for data focusing on applying new methodologies for processing data, including applying machine learning methods to data systems and engineering data systems for applying machine learning at scale. He was recognized as a 2020 ACM fellow for contributions to data management and sensor computing systems.

Covid Abruzzo Basilicata Calabria Campania Emilia Romagna Friuli Venezia Giulia Lazio Liguria Lombardia Marche Molise Piemonte Puglia Sardegna Sicilia Toscana Trentino Alto Adige Umbria Valle d’Aosta Veneto Italia Agrigento Alessandria Ancona Aosta Arezzo Ascoli Piceno Asti Avellino Bari Barletta-Andria-Trani Belluno Benevento Bergamo Biella Bologna Bolzano Brescia Brindisi Cagliari Caltanissetta Campobasso Carbonia-Iglesias Caserta Catania Catanzaro Chieti Como Cosenza Cremona Crotone Cuneo Enna Fermo Ferrara Firenze Foggia Forlì-Cesena Frosinone Genova Gorizia Grosseto Imperia Isernia La Spezia L’Aquila Latina Lecce Lecco Livorno Lodi Lucca Macerata Mantova Massa-Carrara Matera Messina Milano Modena Monza e della Brianza Napoli Novara Nuoro Olbia-Tempio Oristano Padova Palermo Parma Pavia Perugia Pesaro e Urbino Pescara Piacenza Pisa Pistoia Pordenone Potenza Prato Ragusa Ravenna Reggio Calabria Reggio Emilia Rieti Rimini Roma Rovigo Salerno Medio Campidano Sassari Savona Siena Siracusa Sondrio Taranto Teramo Terni Torino Ogliastra Trapani Trento Treviso Trieste Udine Varese Venezia Verbano-Cusio-Ossola Vercelli Verona Vibo Valentia Vicenza Viterbo

YouGoNews