Huawei puts 1M into a new AI research partnership with UC Berkeley

#artificialintelligence

Artificial intelligence continues to have its moment in the spotlight, with a surge of interest in startups and efforts from huge tech companies to push the boundaries of how we might best use machine learning, computer vision and other areas of AI in the future. The latest development on that front comes from China's Huawei, which today announced that it would form a research partnership with UC Berkeley focused on AI, and fund it to the initial tune of 1 million. The alliance, between Huawei's Noah's Ark Laboratory and Berkeley Artificial Intelligence Research (BAIR), is being billed as a "strategic partnership into basic research", and it will cover areas like deep learning, reinforcement learning, machine learning, natural language processing and computer vision. "The two parties believe that this strategic partnership will fuel the advancement of AI technology and create completely new experiences for people, thus contributing greatly to society at large," Huawei notes. Some of these areas of AI you will have heard a lot about already.


Arthur Rosenfeld, "godfather" of energy efficiency who helped consumers save billions on electric bills, dies at 90

Los Angeles Times

California's role as a world leader in energy efficiency can be traced in good part to a laboratory in Berkeley where a physicist named Arthur Rosenfeld spent much of his career searching for new ways to conserve power and then campaigning for their use. His efforts were so far-reaching that -- as his ideas and practical conservation methods swept the nation -- he was credited with saving American consumers billions on their energy bills. Rosenfeld died Jan. 27 at age 90 in Berkeley, not far from the Lawrence Berkeley National Laboratory where he became known as the "godfather" of energy efficiency. The slight, bespectacled Alabama native also was a commissioner at the California Energy Commission and an adviser to the U.S. Department of Energy for energy efficiency and renewable energy. Over the years he received numerous awards and honors, including the National Medal of Technology and Innovation in 2011 โ€“ the nation's highest honor for technological achievement โ€“ for the development of energy efficient building technologies.


Huawei puts 1M into a new AI research partnership with UC Berkeley

#artificialintelligence

Artificial intelligence continues to have its moment in the spotlight, with a surge of interest in startups and efforts from huge tech companies to push the boundaries of how we might best use machine learning, computer vision and other areas of AI in the future. The latest development on that front comes from China's Huawei, which today announced that it would form a research partnership with UC Berkeley focused on AI, and fund it to the initial tune of 1 million. The alliance, between Huawei's Noah's Ark Laboratory and Berkeley Artificial Intelligence Research (BAIR), is being billed as a "strategic partnership into basic research", and it will cover areas like deep learning, reinforcement learning, machine learning, natural language processing and computer vision. "The two parties believe that this strategic partnership will fuel the advancement of AI technology and create completely new experiences for people, thus contributing greatly to society at large," Huawei notes. Some of these areas of AI you will have heard a lot about already.


Advancing Microbiome Research Through Data Collaboration

#artificialintelligence

The National Microbiome Data Collaborative (NMDC), a new initiative aimed at empowering microbiome research, is gearing up its pilot phase after receiving $10 million from the U.S. Department of Energy (DOE) Office of Science. Spearheaded by Lawrence Berkeley National Laboratory (Berkeley Lab), in partnership with Los Alamos (LANL), Oak Ridge (ORNL), and Pacific Northwest (PNNL) national laboratories, the NMDC will leverage DOE's existing data-science resources and high-performance computing systems to develop a framework that facilitates more efficient use of microbiome data for applications in energy, environment, health, and agriculture. Nearly every ecosystem and organism on Earth hosts a diverse community of microorganisms โ€“ its microbiome. Yet we know little about the functions of individual microbes, let alone how they interact with each other, their hosts, or their environments, and how their activity varies over time or in response to perturbations. The past decade has seen tremendous advances in genome and metagenome DNA-sequencing technologies, which has led to an unprecedented volume of microbiome data being generated.


Greg Durrett

@machinelearnbot

I am a sixth-year graduate student in Computer Science at UC Berkeley, advised by Dan Klein. I work on a range of topics in statistical natural language processing, including coreference resolution, entity linking, and syntactic parsing. My work combines two broad thrusts: first, designing joint models that combine information across different tasks (TACL 2014) or across different views of a problem (ACL 2015), and second, building systems that strike a balance between being linguistically motivated and data driven (EMNLP 2013, ACL 2014). When I'm not doing NLP, I like to play the clarinet. I currently play in the UC Berkeley Symphony Orchestra.