Hopsworks is organizing the second Feature Store Summit, a free online conference for Feature Engineering and managing data for AI, happening on October 11th, 2022. Whatever your area of expertise, and wherever you are in your career journey, the Feature Store Summit offers the opportunity to learn from leading innovators on the latest platforms, best practices, and use cases for managing your data for AI. This year's talks and sessions revolve around the theme of'Accelerating Production Machine Learning with Feature Stores' from companies such as Uber, Linkedin, Airbnb, Doordash, Disney Streaming and many more. By joining the event you will be able to hear from people who have seen the good, bad and ugly side of the feature stores and learn from their experiences. It will help you to understand the capabilities of a Feature Store and the various cutting-edge technologies that facilitate bringing ML models into production, as well as showcase ways to improve your ML platforms.

"When, for God's sake, are we going to confront the gun lobby?", said Joe Biden, saying too he was "sick and tired" of the blockage of part of theUS political class, which refuses to regulate gun sales. I used to talk about artificial intelligence &é the ethics that must be associated with it… AI is created by humans… like weapons… we're on the same subject! We need to obviously regulate AI algorithms so that they are not harmful to us humans… but apparently in the US that doesn't seem to be the case when we replace AI with weapons… catastrophic!! Just some evidence: 1/ Research on the subject across US is clear: the greater the number of firearms in circulation, the greater the increase in firearm violence. States with a large proportion of their population owning firearms have homicide rates that are 114% higher than those with a less armed population. A review of the scientific literature from Harvard University's Violence Prevention Research Center indicates that the availability of access to firearms is a well-established risk factor in numerous studies. Both men and women are at greater risk of being victims of firearm homicide in places where there are more guns.

The Google team has developed a new AI model that can design complex chips in just hours. This is an incredibly difficult task and usually takes months for human engineers to accomplish. Let's look into what this new artificial intelligence microchip is and the potential impact it could make in the technology industry. A microchip is a small electronic device that controls and stores electronic data. It is made up of a silicon chip that has been fabricated into a very small size.

Learn the different types of Algorithms and how they work Learn about the practical uses of Algorithms Get background knowledge about Algorithms with concrete examples Master Selection sort and Recursion Discover Quicksort with real-life examples Learn about Hashtags and why they are useful Discover Breadth-first search and Dijkstra's algorithm Master dynamic programming

I sat out Friday's big Tesla AI event. I was actually looking forward to seeing what the company had cooked up after months of teasing, but a combination of rogue stomach virus and the most inconvenient event timing (Friday at 9:15 PM EDT) outside of something held on the other side of the world meant I had to watch the whole thing over the weekend. I'm not sure one can call Optimus "disappointing," exactly. Disappointing implies higher expectations than I think most of us had going into the thing. Elon Musk has largely proven himself to be a great hype man and self-promoter over the years, but in the lead-up to last week's official unveiling, I didn't encounter many serious roboticists who believed we would see much more than what Tesla showed.

In case you missed it, part 1 is here. You may remember that my first computer teacher, Mr. Wilson, shared a magazine article with me about the future of teaching. Last time, we talked about AI-generated images. In this article, I'd like to talk about AI-generated text. Just like the debate around the visual arts, writers often fear that someday they will become obsolete, replaced by an AI generating stories faster than any human can imagine.

Then there is the ever-present pandemic that has been threatening this planet for years. It got me thinking: can technology be used to combat all these horrible diseases and improve patient outcomes. Is artificial intelligence going to play a role in this? We've achieved another milestone in Artificial Intelligence adoption: $6.9 Billion of market value and counting. The intelligent healthcare market will reach 67.4 Billion by 2027.

A team of researchers at Imperial College London and Empa have been developing collaborative aerial drones. Inspired by the work of bees, the scientists are training the robots to construct 3D printed buildings from a single blueprint. To ensure maximum accuracy, the cooperative drones would complete their own tasks and then supervise the work of their peers. The drones are fully autonomous once in flight and have so far successfully completed tests with lightweight cement mixtures. The researchers are hoping that one day the small machines will be able to replace the need for human labour in difficult conditions such as building shelters in the Arctic or even in space.

Artificial intelligence applications are frequently used without any mechanism for external testing or evaluation. Modern machine learning systems are opaque to outside stakeholders, including researchers, who can only probe the system by providing inputs and measuring outputs. Researchers, users, and regulators alike are thus forced to grapple with using, being impacted by, or regulating algorithms they cannot fully observe. This brief reviews the history of algorithm auditing, describes its current state, and offers best practices for conducting algorithm audits today. We identified nine considerations for algorithm auditing, including legal and ethical risks, factors of discrimination and bias, and conducting audits continuously so as to not capture just one moment in time.

It don't mean a thing if it ain't got that swing, but so far it has been difficult for jazz musicians to actually define what'swing' is. Scientists at the Max Planck Institute for Dynamics and Self-Organization in Germany think they have found out, after their study revealed that the rhythm is the result of micro-delays in musical timing. Traditionally, swing is thought to be added to a piece of music when quavers - notes that are an eighth of the duration of a whole note - are played with uneven lengths. The researchers played manipulated pieces of music to jazz musicians, to see if changes in timing affected their perception of its swing. It was found that when the notes on beat one and three were delayed by 30 milliseconds, the musicians were 7.48 times more likely to rate the music as having more swing. However, the microtiming deviations were so small that they were imperceptible to professional jazz musicians, suggesting they use them unconsciously.