All of SlashGear's content is 100% original and written and edited by real, live humans. We do not use AI chat tools to generate, ideate, or draft our content. Aerial weapons systems have continued to progress through the ages. From the time of the first airborne dogfights during World War I to the present, national military forces have been innovating tirelessly to maintain a competitive edge in the event of future conflict. The first aircraft to fly in the armed forces were utilized as reconnaissance tools, but the platform quickly evolved into a combat augmentation, and by World War II, heavy aircraft that could drop bombs over enemy positions had taken to the skies en masse alongside sleek fighter planes.

DALL-E 2 lets you create images you never thought possible, all from a little bit of original text. OpenAI originally introduced DALL-E in January 2021, and then one year later introduced the new and improved DALL-E 2, which generates more realistic photos with four times greater resolution. When you look at the photos produced by the original DALL-E tool, they are much blurrier and less recognizable than the photos produced by DALL-E 2 with the same text prompts. To use DALL-E, all you have to do is create an account to start a free trial with 50 free credits for the first month and 15 free credits every following month. When you have an idea for a photo, you'll type a detailed text description and enter it into DALL-E 2 to produce many AI variations to choose from.

There is no denying that Artificial Intelligence (AI) has been making significant strides in recent years. In fact, there is enough evidence to suggest that computers are getting better at natural language processing and machine learning with each successive generation. However, the thought of an AI-based tool finding its way into mainstream usage as soon as 2023 was far-fetched for even the most ardent AI enthusiasts. Thanks to recent developments in the field of generative AI, many of these people are now being forced to think otherwise. The newfound global interest in AI could be attributed to the immense popularity of ChatGPT -- a chatbot released by Microsoft-backed AI-focused research lab OpenAI late last year.

Artificial intelligence (AI) might be something that makes you think of the far-distant future, but it's actually already all around us. You can find it in your car, your smart home, your phone, on the other end of the customer support line you call when those things break, your bank's website, your doctor's office, and possibly behind the security cameras that are watching you go about your day. AI might be inescapable, but the law has a lot of catching up to do. In an attempt to fix this, the White House has released what it has called a "Blueprint for an AI Bill of Rights" aimed at protecting the public from the actions of artificial intelligence. While the Biden Administration's bill is a start, the reception to it has been mixed.

Machines have long left the confines of research laboratories to explore new areas. They are expected to be massively distributed in pharmacies, the automotive industry, and other industries. Numerous robots are already assisting the manufacturing industry in improving product quality and reducing turnaround times. Robots have been around for decades. Through continuous innovations in robotics, robots continue to move closer to human lives and incorporate them into all aspects of life and work.

Spotify has announced the acquisition of Niland, a machine learning startup based out of Paris. The music company made the announcement itself this week, explaining that Niland shares its'passion for surfacing the right content to the right user at the right time.' Spotify plans to use the company's technology and know-how to improves its own recommendation abilities, doing so with the power of artificial intelligence behind it. Spotify announced the acquisition on Wednesday, saying that the Niland team will be joining the music company's own team in its New York office. The terms of the deal weren't revealed, such as how much Spotify paid for the company or when the deal was finalized. We do know, however, that personalized recommendations on Spotify are about to get much better than to the startup's work in machine learning and artificial intelligence.

There is no doubt that artificial intelligence, machine learning, and neural networks have experienced huge strides in progress, but of their applications have been on things with "hard edges". Those include search results, translation, board games, etc. Recently, however, progress is also being made in areas of computer vision, imaging, and graphics, for applications that are usually considered more "subjective". Researchers from Adobe and Cornell University have developed a deep-learning neural network that does exactly that, and the results are very convincing indeed. "Style transfer" may not be a popular term, even for the tech savvy, but heavy users of social networking apps and services, like Facebook's Prisma, are already using it without even knowing it.

This week the folks at Bosch have revealed their plan to work with NVIDIA to create artificial intelligence self-driving systems for mass market cars. They made this announcement during Bosch Connected World in Berlin, where Bosch CEO Dr. Volkmar Denner showed the system to the public. "Automated driving makes roads safer, and artificial intelligence is the key to making that happen," said Denner. "We are making cars smart." Bosch Connected World is Bosch Group's annual Internet of Things conference.

Anyone who's used the internet in the last decade should be immediately familiar with the reCAPTCHA system (Completely Automated Public Turing test to tell Computers and Humans Apart), the little box on websites that has users type in distorted words or click on a checkbox to prove they're human. Well, this could soon all be a thing of the past, as Google has revealed it's developed a way to make the reCAPTCHA system completely invisible, with no need for human input. As Google explains, the Invisible CAPTCHA system uses a "combination of machine learning and advanced risk analysis that adapt to new and emerging threats." In plainspeak that means that the system automatically begins detecting user habits when they arrive on a webpage, including things like mouse movements and IP address. Assuming everything checks out, the transcription puzzle or checkbox won't be necessary, and the page's content will load like normal.

Amazon arguably kicked off the "personal assistant in a can" line of products, so it's almost fitting that it also be the first to implement one of the most needed feature for smart speakers. These devices can already recognize and understand voices and speech, but they can't really differentiate one voice from the next, which makes for a sometimes hilarious, sometimes frightening situation. Amazon, however, is tipped to be working on a certain "Voice ID" feature that would put those worries to rest. Neither of them can really tell their owner's voice from other voices within earshot. That has lead to rather comical instances where Echo would try (and fortunately fail) to order toys for kids or Google Home responding to triggers in an advertisement for Google Home. It is a security nightmare waiting to happen.