In the News
Discover The Essentials State of AI Report Q2
After thoroughly analysing industry trends and our engagement data, we’ve gathered valuable insights on the topic of Artificial Intelligence. Stay tuned for the best articles from leading industry experts as we bring you our first-ever State of AI Report for Q2 from our sister newsletter, AI Essentials.
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In The News
Elon Musk Has No Idea What He’s Doing With Tesla Bot
Yesterday, at the end of Tesla's AI Day, Elon Musk introduced a concept for "Tesla Bot," a 125 lb, 5'8" tall electromechanically actuated autonomous bipedal "general purpose" humanoid robot. "With the full self-driving computer, essentially the inference engine on the car (which we'll keep evolving,...
AI Can Write in English. Now It's Learning Other Languages
Source Data Text Technology Natural language processing Machine learning In recent years machines have learned to generate passable snippets of English, thanks to advances in artificial intelligence. In 2018, researchers at Google released details of a powerful new kind of large neural network...
Applied use cases
Top four highlights of Elon Musk’s Tesla AI Day
On Thursday’s Tesla AI Day, the CEO described Tesla as a company with “deep AI activity in hardware on the inference level and on the training level” that can be used down the line for applications beyond self-driving cars, including a humanoid robot that Tesla is apparently building.
Now that machines can learn, can they unlearn?
A nascent area of computer science dubbed machine unlearning seeks ways to induce selective amnesia in artificial intelligence software. The goal is to remove all trace of a particular person or data point from a machine-learning system, without affecting its performance.
Being Human in the Time of Automation
The strategic role of service as society reopens Gain key insights from industry thought leaders about the role of service in an all-digital world. In the early 1980s, for instance, people were very skeptical that computers would ever meaningfully replace human travel agents.
4 Steps for Developing Successful Artificial Intelligence Strategies
With a data-driven and human-centric approach, we as business leaders can design AI that successfully connects every strategic data and AI initiative to the defined business objectives of a company. In my workplace's approach, the strategy setting sessions are attended by the senior business...
- Times are in Pacific Time Introduction Fei-Fei Li, Sequoia Professor, Computer Science Department, Stanford University; Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence Foundation Models Percy Liang, Associate Professor of Computer Science, Stanford University...
At the core of this terminology is perhaps the most debated metaphor in all of science, the Computational Metaphor (Biron, 1993; Cisek, 1999; Cobb, 2020; Karaliutė, 2009; MacCormac, 1984; Marcus, 2015; Marshall, 1977; Richards, 2018; Smith, 1993; Vlasits, 2017; West & Travis, 1991).
How Boston Dynamics makes Atlas run, flip & vault
Robot perception algorithms are used to convert data from sensors like cameras and lidar into something useful for decision making and planning physical actions. While Atlas uses IMUs, joint positions, and force sensors to control its body motion and feel the ground for balance, it requires perception to identify and navigate obstacles
Is San Francisco the center of the emerging robotics universe?
Congratulations to Rapid Robotics, Osaro and Ample who all raised funding last week. All based in San Francisco, so perhaps the center of the robotics world is close to (my) home! Silicon Valley Robotics is quoted in The Guardian ‘Ten years ago this was science fiction’: the rise of weedkilling...
Organizer of Society, Robots and Us: Inclusive Investment
(focus on soft robotics) Moderated by Andra Keay of Silicon Valley Robotics Guest speakers this week: Kira Gardner, CITRIS Foundry Michael Harries, The Robotics Hub Swati Chaturvedi, PropelX Kira leads the CITRIS Foundry, the University of California accelerator for founders building deep technology...
Melissa Dell LayoutParser: A Unified Toolkit for Deep Learning-Based Document Image Analysis
Professor Melissa Dell of Harvard University will join S-DEL Director Erik Brynjolfsson to discuss of LayoutParser, an open-source library for streamlining the usage of DL in DIA research and applications. LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis Zejiang Shen,...
Challenges and Opportunities in NLP Benchmarking
However, the traditional practices for evaluating performance of NLP models, using a single metric such as accuracy or BLEU, relying on static benchmarks and abstract task formulations no longer work as well in light of models' surprisingly robust superficial natural language understanding...
Artificial Intelligence & Autopilot
Hardware Build silicon chips that power our full self-driving software from the ground up, taking every small architectural and micro-architectural improvement into account while pushing hard to squeeze maximum silicon performance-per-watt.