A round up of the latest tech stories, curated for you weekly, by Four.
Lead articles from July 4
AI and what does it mean for education
The internet… a world-changing invention that is involved in most of the things we do. When we talk about education in the modern-day, we cannot put aside the digital world. Online students can find legit writing services or, if they can’t decide on an essay service, they can get reviews and see which are the best. Or they can get some help with different questions they might have. Teachers, on the other hand, also have quite a lot of resources to pick from.
The future starts with industrial AI
Industrial digital transformation is critical to achieving new levels of safety, sustainability, and profitability—and “Industrial AI” is a key enabler of that change. Today’s industrial organizations, and especially those in capital-intensive industries, stand at a crossroads for opportunity. They recognize the need to reinforce their industrial operations and complex value chains with greater resiliency, flexibility, and agility…
Four ways AI is helping us learn about the universe
Astronomy is all about data. The universe is getting bigger and so too is the amount of information we have about it. But some of the biggest challenges of the next generation of astronomy lie in just how we’re going to study all the data we’re collecting. To take on these challenges, astronomers are turning to machine learning and artificial intelligence (AI) to build new tools to rapidly search for the next big breakthroughs. Here are four ways AI is helping astronomers.
Accounts payable - how to show AI who's boss
From the fiction of ‘WOPR’ in the 1980s film “War Games”to the terrifyingly real almost-apocalypse of 1983’s Soviet nuclear false alarm incident, humanity has plenty of reasons to be fearful of the consequences of putting computers in charge. Perhaps that explains our wariness of ceding control to AI in a host of much more run-of-the-mill processes. But this reluctance to hand over the keys — of a self-driving car, a business or even missile silo — betrays a fundamental misunderstanding of how AI is designed to work.
Tesla AI chief explains why self-driving cars don't need Lidar
What is the technology stack you need to create fully autonomous vehicles? Companies and researchers are divided on the answer to that question. Approaches to autonomous driving range from just cameras and computer vision to a combination of computer vision and advanced sensors. Deep neural networks are one of the main components of the self-driving technology stack. Neural networks analyze on-car camera feeds for roads, signs, cars….
AI can now taste - transforming winemaking with Tastry
Up until recently, the methods wineries used to decide what to produce and what to sell have been almost entirely subjective. Without data, it was really hard to figure out how to make a great wine that would sell well in the market. But in an extremely competitive market, where many wineries only have one shot per season to make a great wine, more and more winemakers are looking for ways to predict what consumers will like, so they can create better products and increase their profits.