If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
For the second day in a row, investors shook off hotter than expected inflation. Despite the consumer price index skyrocketing in May by 5% from a year ago, shattering the estimated 4.7% and the fastest the index rose since August 2008, investors largely overlooked it. The 10-year Treasury yield fell to 1.44% after trading as high as 1.77% earlier in the year, somewhat easing fears and showing that inflation may only be transitory. Investors also continued to cheer Thursday's jobless claims data which again hit a pandemic era low. The Dow Jones gained 100 points, the S&P 500 added 0.2% to its record high, and the Nasdaq ticked up 0.1%.
The Biden administration has recently set into action its initiative on AI (Artificial Intelligence). This is part of legislation that was passed last year and included a budget of $250 million (for a period of five years). The goals are to provide easier access to the troves of government data as well as provide for advanced systems to create AI models. No doubt, this effort is a clear sign of the strategic importance of the technology. It is also a recognition that the U.S. does not want to fall behind other nations, especially China.
Many worries can surface at 3 a.m. as you wake up and stare at the ceiling. Among them is managing your money. But what if a nice, helpful robot was taking care of all that. Oracle released its Money and Machines Report 2021, and after a year during which we've seen some people work against the collective good, it looks like AI has emerged as a more trustworthy choice when it comes to managing finances. Sixty-seven percent of Oracle's respondents said they would trust robots more than humans when it comes to their money, and 59% said they would trust robots even more than they would themselves. Finance professionals might lose sleep over this.
Researchers at the University of Illinois have created a new computer vision dataset that uses synthetic imagery generated by a Grand Theft Auto game engine to help solve one of the thorniest obstacles in semantic segmentation – recognizing objects that are only partly visible in source images and videos. To this end, as described in the paper, the researchers have used the GTA-V video game engine to generate a synthetic dataset that not only features a record-breaking number of occlusion instances, but which features perfect semantic segmentation and labelling, and accounts for temporal information in a way that is not addressed by similar open source datasets. The video below, published as supporting material for the research, illustrates the advantages of a complete 3D understanding of a scene, in that obscured objects are known and exposed in the scene in all circumstances, enabling the evaluating system to learn to associate partial occluded views with the entire (labeled) object. The resulting dataset, called SAIL-VOS 3D, is claimed by the authors to be the first synthetic video mesh dataset with frame-by-frame annotation, instance-level segmentation, ground truth depth for scene views and 2D annotations delineated by bounding boxes. The annotations of SAIL-VOS 3D include depth, instance-level modal and amodal segmentation, semantic labels and 3D meshes.
Some of my most popular blogs on Medium are about libraries that I believe you should try. In this blog, I will focus on low-code machine learning libraries. The truth is that many data scientists believe that low-code libraries are shortcuts and should be avoided. I'm afraid I have to disagree! I think that low-code libraries should be included in our pipeline to help us make important decisions without wasting time.
I had questions, and it was time to look for answers. I searched through popular job roles in glassdoor, freelancing sites, you know, those YouTube videos that list the high-paying jobs in 2017, and even some TEDx talks. Data science was the field that spiked my interest. Slowly I understood the different roles in the field -- data scientist, data analyst, data engineer, machine learning engineer, BI analyst, MLOps engineer. It might sound funny, but I analyzed the career paths, experiences, salaries, and every possible statistic available for these roles.
Listen to this episode from Tcast on Spotify. Artificial Intelligence is all the rage these days. There are universities doing research, op-eds in newspapers, and even several articles in this space talking about artificial intelligence and machine learning and how it will affect our lives in the years to come. Unfortunately, most of the focus has been on how it can be used to improve the bottom lines for businesses around the world. Don’t get us wrong, we’re not knocking the profit motive. However, we are knocking the idea that you have to keep on making more and more profit. That drive has a way of dehumanizing people (and frankly even the people with the drive) and making people lose focus on the things that really matter in the world. One of the effects of the constant drive for more profits is the drive to consume more things. More and more we look like Huxley’s Brave New World in which consumerism is promoted by the state, to the extent they put out slogans like “the less stitches, the more riches” to promote people buying new clothes instead of mending what they already have. Every economic ‘stimulus’ is given in the hopes that people use that money to go buy a bunch of stuff to keep things moving. Consumerism is a huge problem in the modern world. This is true both spiritually and materially, though for this article we’ll be focused on the material problems. Whether it is the government or business telling us that the way to happiness is the latest and greatest smartphone, TV, car, etc. this creates problems. All of that stuff requires resources to make. Minerals, trees, oils and who knows what are used every time something like that is purchased. And the old goes into landfills, which are gigantic, so gigantic in some places that people literally live on them in places like India, making a living off reselling some of the things in them. We’ve gotten better at reusing a lot of that stuff, being able to recycle things made of the rare minerals mined in Africa or melting down plastics so they can be remolded into something else. However, there is a finite amount of stuff on the planet and a growing population that will naturally keep using that stuff. We might well find ourselves able to get into space and use resources there before much longer, but it wouldn’t hurt to also reduce our dependency on the drive to constantly have more stuff as well. Which brings us back to our primary issue for this article, how can we use our digital technology to reduce that need? How can we use things like AI to make things more sustainable? Fortunately, our ability to collect and analyze data is just as unparalleled as our increased drive to consumerism. Improved analytics can be used for a variety of efforts that will make farming more efficient, enabling people to get the most food out of a plot of land while doing the least amount of harm to the environment. We can learn how to build safer, smaller, and lighter vehicles so that they use fewer resources, are more fuel efficient and still allow people to get from point A to point B. AI can be used to study the effects of different zoning laws. Would it be better to allow more mixing of business and residential areas so people don’t need to drive ten minutes whenever they need a gallon of milk? There is a lot of potential here. And a lot of ways that potential can be undermined. We’ll be exploring both of those a bit more next time. What’s your data worth? www.tartle.co
TL;DR: The 2021 Ultimate Adobe Designers Bundle is on sale for £32.16 as of June 19, saving you 98% on list price. Graphic design is a useful skill set that can help any business owner, podcaster, or even influencer enhance their own brand. If you want to boost your digital artistry and create better designs, logos, and more, the 2021 Ultimate Adobe Design Bundle is an easy way to build your skills. This 12-course bundle features over 500 lessons that you can tune into and absorb at your own pace -- once you gain access to them, you'll have access for life. First, you'll take the digital productivity course, which includes a digital journal to track daily habits, to-do lists, and more.
In honor of Juneteenth, Google Assistant has an important new feature. "Hey Google, what happened today in Black history? On Saturday morning, Google unveiled the addition of a Black history function, available to users of any Assistant-enabled smart speaker, smart display, or phone. Just ask "Hey Google, what happened today in Black history?" and the voice assistant will recite daily history content curated by Google with the help of civil rights activist and scholar Dr. Carl Mack. The facts are intended to highlight important Black cultural events and leaders as the United States continues its racial reckoning. The feature is one of numerous initiatives being taken not just by Google, but also countless other companies as many of them honor Juneteenth for the first time. On Wednesday, President Biden officially made the day, which commemorates the emancipation of enslaved people, a federal holiday, recognized in all 50 states. You can read more about Juneteenth here. At Google, the company also released a new Doodle from Detroit-based artist Rachelle Baker, honoring Black joy and artistic contributions. In a Google press release sent to Mashable, Baker described her process creating the Doodle, saying, "I looked at tons of photos and art illustrating some of the first ever Juneteenth celebration, as well as celebrations, parades, and festivities from recent years.
At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact. Every day, we're empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.