For the past several years, DSRC has been the only V2X technology available. After a long period of multiple large-scale field tests, DSRC based V2X went into production in Japan in 2015 and in the US in 2017 in selected vehicle models. In 2019, VW released its Golf 8 with DSRC based V2X, making Europe’s most popular car the first mass market vehicle with V2X.
The more recent C-V2X technology has the same purpose of direct communication link between vehicles. C-V2X is defined by 3GPP based on cellular modem technology, leading to fundamentally different non-interoperable access layer with DSRC. Aside from that, the two technologies are addressing identical use-cases and having identical network, security and application layers. Read More
Daily Archives: October 11, 2022
The Illustrated Stable Diffusion
AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art. The release of Stable Diffusion is a clear milestone in this development because it made a high-performance model available to the masses (performance in terms of image quality, as well as speed and relatively low resource/memory requirements).
After experimenting with AI image generation, you may start to wonder how it works.
This is a gentle introduction to how Stable Diffusion works. Read More
The AI Bill of Rights Makes Uneven Progress on Algorithmic Protections
The White House has released the Blueprint for an AI Bill of Rights—which is likely the signature document reflecting the Biden administration’s approach to algorithmic regulation. Paired with a series of agency actions, the Biden administration is working to address many high-priority algorithmic harms—such as those in financial services, health care provisioning, hiring, and more. There is clear and demonstrated progress in implementing a sectorally specific approach to artificial intelligence (AI) regulation. The progress being made, however, is uneven. Important issues in educational access and worker surveillance, as well as most uses of AI in law enforcement, have received insufficient attention. Further, despite its focus on AI research and AI commerce, the White House has yet to effectively coordinate and facilitate AI regulation. Read More
The AI Scaling Hypothesis
How far will this go?
The past decade of progress in AI can largely be summed up by one word: scale. The era of deep learning that started around 2010 has witnessed a continued increase in the size of state of the art models. This has only accelerated over the past several years, leading many to believe in the “AI Scaling Hypothesis”: the idea that more computational resources and training data may be the best answer to achieving the AI field’s long term goals. This article will provide an overview of what the scaling hypothesis is, what we know about scaling laws, and the latest results achieved by scaling. Read More
Amazon Halts Tests of Scout Home-Delivery Robots
The team behind the Scout program is being disbanded and reassigned to new jobs, according to Bloomberg.
Amazon has halted testing of its Scout home-delivery robots as it cuts costs in the wake of slowing sales, according to a Bloomberg report.
Amazon spokesperson Alisa Carroll told Bloomberg that the team working on its Scout robots was being disbanded and would be offered new jobs at Amazon. Citing a “person familiar with the situation,” Bloomberg reported that work on the project had already been halted. Read More
First extension of AlphaZero to mathematics unlocks new possibilities for research
Algorithms have helped mathematicians perform fundamental operations for thousands of years. The ancient Egyptians created an algorithm to multiply two numbers without requiring a multiplication table, and Greek mathematician Euclid described an algorithm to compute the greatest common divisor, which is still in use today.
During the Islamic Golden Age, Persian mathematician Muhammad ibn Musa al-Khwarizmi designed new algorithms to solve linear and quadratic equations. In fact, al-Khwarizmi’s name, translated into Latin as Algoritmi, led to the term algorithm. But, despite the familiarity with algorithms today – used throughout society from classroom algebra to cutting edge scientific research – the process of discovering new algorithms is incredibly difficult, and an example of the amazing reasoning abilities of the human mind.
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices. Read More
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