On September 9, WIRED is partnering with KQED for Uncanny Valley's first live show of the podcast. Join us in San Francisco to see hosts Katie Drummond, Michael Calore, and Lauren Goode shed light on the people, power, and influence of Silicon Valley. With original reporting and sharp analysis, Uncanny Valley covers today's biggest stories in tech. We demystify companies like Palantir, trends like vibe coding, and figures like Sam Altman; we break down WIRED's essential coverage of DOGE and ICE; we guide listeners through breakthrough innovation like generative AI and sweeping policy changes like the Trump Administration's tariffs. We're thrilled to have the opportunity to see our listeners in person.

The strength and capabilities of generative AI are accelerating at a dizzying pace. If you're finding it difficult to keep up, we get it. That's why WIRED is hosting its first AI Power Summit on September 15 in New York City. We've curated a series of panels and conversations with experts who will distill and discuss the implications of today's most crucial AI-related news. We'll break down the White House's AI Action Plan and examine its consequences across industries; explore how emerging regulations could redefine the trajectory of innovation and shape public policy; and discuss who stands to gain--and who stands to lose--in AI's next chapter.

Everything, it seems, is on the line right now. Is mRNA technology on the verge of pulling us out of the pandemic, or will a wily, evolving virus bring us several more years of testing, booster shots, uncertainty, and angst? Will AI liberate us with amazing new medicines, materials, and modes of entertainment, or subtly enslave us in an algorithmically guided world where none of our choices is truly our own? Will we stop the deadly climb of global temperatures or just hunker down behind higher flood defenses and more powerful air-conditioners? Will ransomware be tamed, or will it bring down governments?

Please join us for a virtual Google workshop on "Conceptual Understanding of Deep Learning" When: May 17th 9am-4pm PST. Goal: How does the Brain/Mind (perhaps even an artificial one) work at an algorithmic level? While deep learning has produced tremendous technological strides in recent decades, there is an unsettling feeling of a lack of "conceptual" understanding of why it works and to what extent it will work in the current form. The goal of the workshop is to bring together theorists and practitioners to develop an understanding of the right algorithmic view of deep learning, characterizing the class of functions that can be learned, coming up with the right learning architecture that may (provably) learn multiple functions, concepts and remember them over time as humans do, theoretical understanding of language, logic, RL, meta learning and lifelong learning. The speakers and panelists include Turing award winners Geoffrey Hinton, Leslie Valiant, and Godel Prize winner Christos Papadimitriou (full-details).

November 21, 2019 Artificial intelligence (AI) is emerging as the prize in an increasingly competitive geopolitical environment, with American rivals investing in AI to shift the military, political, and economic balance of power against the U.S. Leveraging AI can help make the government more efficient, spurring economic growth, and transforming education for future generations. Yet agency leaders still search for where to begin within their own departments. What projects will be the most impactful? What can be done to train the existing workforce to leverage the power of AI? What to expect: You will leave this course able to identify top AI opportunities, with an understanding of key AI success factors, and with a clearly defined project ready for your team to execute. Who should attend: Agency leaders seeking to initiate or improve the performance of machine learning initiatives and AI projects for their agency or department.

The Machine Learning Department of the School of Computer Science at Carnegie Mellon University occupies a privileged position in the world of machine learning, in part as the world's only academic Machine Learning Department. The Department has close relationships through shared faculty and active collaboration across the university, especially the Statistics Department and other academic units in the School of Computer Science (Computer Science Department, Language Technologies Institute, Computational Biology Department, and the Robotics Institute). We seek applicants who will thrive in this interdisciplinary setting.

Register for the Data Mastery Tour and learn how Snowflake's partnership with Databricks is helping some of today's most innovative companies get more out of their data. Between February 19 and March 5, 2019, the Data Mastery Tour is coming to seven cities in the U.S. and to Toronto, Canada, to demonstrate what your organization can accomplish with instant and infinite scalability, artificial intelligence (AI), and machine learning (ML).

The Summit will take place over 3 days and features a wide range of talks and panel discussions. Anyline will present on the first two days of the event. Andreas Greilhuber will give his talk "The journey from convolutional neural network to real customer value" on July 19 at 11:05 as part of the Keynote Forum. Aniello Patrone will give his talk "Document scanning, from R&D to a real product at Anyline GmbH" on July 20 at 11:50 as part of the Keynote Forum too. Here are the other talks from the second day of the event.