Deep learning is one of the most powerful AI techniques, however, it can be difficult to understand. In this blog, I will attempt to explain deep learning using visuals and examples. Deep learning architecture is inspired by how our brain works. It is a connection of neurons. Deep learning models can have many parameters.

Israeli fabless semiconductor company Polyn has announced the availability of neuromorphic analog signal processing (NASP) models for Edge Impulse, a development platform for machine learning on edge devices. Edge impulse provides a way for developers to compare models and their performance, and Polyn is making its models available on the platform to enable such evaluations, CEO and founder Aleksandr Timofeev said in an interview with EE Times Europe. "Polyn is comfortable with this comparison, as it is confident in its promise of offering chips that consume 100 microwatts of power, and no other competitor offers the same," said Timofeev, adding that the company pays a licensing fee to make models available on Edge Impulse. Current ML implementation methods rely on digitizing the generated data and then running them through digital ML frameworks, a process that involves considerable computational power. Processing raw sensor data in analog form can lead to decreased power consumption and increased accuracy for all applications compared with traditional, digital algorithm-based computing, Timofeev said.

New Delhi: Are you thinking about who is the sensational music composer on the latest trending songs? It might just be Artificial Intelligence. Progress in Artificial Intelligence and music is on fire, thanks to the creative researchers who are innovating and working hard to bring AI into the music world. A researcher from United States, have devised a new approach – Music Prediction method, using which music can be generated with a very high accuracy. Composer is the main backbone of any soothing or funky tunes that brings a song to life.

As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers are struggling to keep up. An analog optical neural network could perform the same tasks as a digital one, such as image classification or speech recognition, but because computations are performed using light instead of electrical signals, optical neural networks can run many times faster while consuming less energy. However, these analog devices are prone to hardware errors that can make computations less precise. Microscopic imperfections in hardware components are one cause of these errors.

At the start of the new millennium, few people gave much thought to artificial intelligence. Then, in 2004, the movie I, Robot came out, and suddenly everyone wanted to know how…

Ever wondered what you would've looked like if you were alive during ancient Greek times or were reborn as a nineteenth century Arctic explorer? A new app called AI Time Machine by DNA analysis company MyHeritage is taking the internet by storm, allowing anybody to generate pixel-perfect renditions of their faces in the style of different historical periods. "Using AI Time Machine, you can see yourself as an Egyptian pharaoh, a medieval knight, a 19th-century lord or lady, an astronaut, and much more, in just a few clicks," the company writes on its website. No wonder MyHeritage has a hit on its hands. Somewhat inevitably, after a period of reflection I have decided that once I submit my three contracted books I am leaving academia to become a nineteenth century Arctic Explorer.

Professors, programmers and journalists could all be out of a job in just a few years, after the latest chatbot from the Elon Musk-founded OpenAI foundation stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use. The system, called ChatGPT, is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team's previous AI, GPT3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities. In the days since it was released, academics have generated responses to exam queries that they say would result in full marks if submitted by an undergraduate, and programmers have used the tool to solve coding challenges in obscure programming languages in a matter of seconds – before writing limericks explaining the functionality. Dan Gillmor, a journalism professor at Arizona State University, asked the AI to handle one of the assignments he gives his students: writing a letter to a relative giving advice regarding online security and privacy.

From marketing to healthcare and nearly all industries in between, AI tools are becoming more common, making skills for their application essential in the workplace. The online MS in Applied Artificial Intelligence degree from Lebanese American University delivers the AI expertise you need to grow with your industry and become an essential part of your business. Regardless of your academic and professional background, this program offers a curriculum designed to introduce you to the latest tools and help you excel as a leader in the field. Additionally, the program offers electives which focus on in-demand topics. Customize your education and choose from electives in Business and e-Commerce, Healthcare, or Digital Humanities and take the next step towards greater professional success in just two years.

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Artificial intelligence (AI) may still feel a bit futuristic to many, but the average consumer would be surprised at where AI can be found. It's no longer a science fiction concept confined to Hollywood and feature movies or top-secret technology only found in computer science labs at the Googles and Metas of the world--quite the contrary. Today, AI is not only behind many of our online shopping and social media recommendations, customer service inquiries and loan approvals, but it's also actively creating music, winning art contests and beating humans in games that have existed for thousands of years. Due to this growing awareness gap surrounding AI's expansive capabilities, a critical first step for any organization or business that uses or provides it should be forming an AI ethics committee.

An in-depth analysis of neural networks, and how they can be used to model our thought process. In pretty much every field of study, scientific or not, we use models to explain how different objects, particles, or entities interact with each other, and what a certain system of these can resemble in the future. Scientists can seek to identify and understand patterns in our world by drawing on their scientific knowledge to offer explanations that enable the patterns to be predicted. Astronomers use star charts and solar patterns to determine when the next lunar eclipse will be. Meteorologists gather data from differences in temperature, surface maps, and precipitation levels to precisely depict the weather for the next few weeks.