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) …
A new study has found that a material can mimic the sea slug's most essential intelligence features. The discovery is a step toward building hardware that could help make AI more efficient and reliable for technology ranging from self-driving cars and surgical robots to social media algorithms. The study, publishing this week in the Proceedings of the National Academy of Sciences, was conducted by a team of researchers from Purdue University, Rutgers University, the University of Georgia and Argonne National Laboratory. "Through studying sea slugs, neuroscientists discovered the hallmarks of intelligence that are fundamental to any organism's survival," said Shriram Ramanathan, a Purdue professor of materials engineering. "We want to take advantage of that mature intelligence in animals to accelerate the development of AI." Two main signs of intelligence that neuroscientists have learned from sea slugs are habituation and sensitization.
The advancements of Artificial Intelligence have startled the commoners with its high-tech abilities and the abilities to do things which human usually cannot do. From e-commerce to healthcare its capabilities are reshaping various business operations for the greater good. Owing to its increasing fame, many companies and startups are adopting AI capabilities to enhance efficiency, effectiveness, and productivity. Moreover, many investors are also keening looking to invest their sums in Artificial Intelligence realizing the worth of it. Many AI companies have risen from nowhere to everywhere across the market and the most obvious reason behind their growth is the hefty investments and finances they gain from VC firms and investors.
I can trace it back to when I watched a video of America's Got Talent. It started with singers, but soon it moved on to other categories, including illusionists. That was enough to tell Facebook's algorithms that I had to be interested in magic and that it should show me more of what it deduced I wanted to see. Now I have to be careful, because if I click on any of that content, it will reinforce the algorithm's notion that I must really be interested in card tricks, and pretty soon that's all Facebook will ever show me. Even if it was all just a passing curiosity.
Walmart has tapped Argo AI and Ford to launch an autonomous vehicle delivery service in Austin, Miami and Washington, D.C., the companies said Wednesday. The service will allow customers to place online orders for groceries and other items using Walmart's ordering platform. Argo's cloud-based infrastructure will be integrated with Walmart's online platform, routing the orders and scheduling package deliveries to customers' homes. Initially, the commercial service will be limited to specific geographic areas in each city and will expand over time. The companies will begin testing later this year.
Artificial Intelligence (AI) has gained increasing popularity across industries. Worldwide revenues for the AI market, including software, hardware, and services, are forecast to grow 40.2% annually, topping $997.77 billion by the end of 2028, according to a latest report by Grand View Research, an international consulting firm that helps Fortune 500 companies understand the global and regional business environment. Earlier, Connecticut-based Aquiline Drones Corporation (AD) announced the acquisition of ElluminAI Labs, LLC to support further development of its AI framework called Spartacus. This is AD's second strategic acquisition in the company's pre-IPO plan. It was just last month that AD completed the purchase of 50% of Netherlands-based AerialTronics, a renowned drone manufacturer, for $9.0M USD from Paris-based Drone Volt (ALDRV).
Rapid advances in artificial intelligence (AI) have made this technology important for many industries, including finance, energy, healthcare, and microelectronics. AI is driving a multi-trillion-dollar global market while helping to solve some tough societal problems such as tracking the current pandemic and predicting the severity of climate-driven events like hurricanes and wildfires. Today, AI algorithms are primarily run at large data centers, that is in the cloud. For this intelligence to be used at the edge, data must be transmitted to the cloud, analyzed there, and the results transmitted back to the edge – a device in the field of operation, whether it is a sensor tracking the strength of a bridge, a mobile phone, a medical implant, or an autonomous vehicle. The problem with the current approach of using AI primarily in the cloud is that it consumes much energy and can introduce data transmission delays and security vulnerabilities.
You are free to share this article under the Attribution 4.0 International license. For artificial intelligence to get any smarter, it needs first to be as intelligent as one of the simplest creatures in the animal kingdom: the sea slug. Researchers have found that a material can mimic the sea slug's most essential intelligence features. The discovery is a step toward building hardware that could help make AI more efficient and reliable for technology ranging from self-driving cars and surgical robots to social media algorithms. "Through studying sea slugs, neuroscientists discovered the hallmarks of intelligence that are fundamental to any organism's survival," says Shriram Ramanathan, a professor of materials engineering at Purdue University.
Aviation became a reality in the early 20th century, but it took 20 years before the proper safety precautions enabled widespread adoption of air travel. Today, the future of fully autonomous vehicles is similarly cloudy, due in large part to safety concerns. To accelerate that timeline, graduate student Heng "Hank" Yang and his collaborators have developed the first set of "certifiable perception" algorithms, which could help protect the next generation of self-driving vehicles -- and the vehicles they share the road with. Though Yang is now a rising star in his field, it took many years before he decided to research robotics and autonomous systems. Raised in China's Jiangsu province, he completed his undergraduate degree with top honors from Tsinghua University.
With an aging population in need of transport, Japan is betting on autonomous cars, but an accident involving a self-driving showcase at the Paralympics illustrates the challenges ahead. Japan is far from the only place with autonomous vehicles on the roads, but its government has set acceleration of the technology as a key priority. Last year, it became the first country in the world to allow a vehicle capable of taking full control in certain situations to operate on public roads. The Honda car has "Level 3" autonomy, meaning it can take certain decisions alone, though a driver has to be ready to take the wheel in emergencies. The government has changed the law to pave the way for increasingly advanced autonomous vehicles, and the ministry of economy, trade and industry (METI) has plans for 40 autonomous taxi test sites nationwide by 2025.
Walmart will begin testing an autonomous vehicle delivery service this year that will allow customers to place orders online and have their groceries delivered by a driverless car. The pilot program is being launched in Austin, Texas; Miami, Florida: and Washington D.C. It's a partnership between the $560-billion mega-retailer and Ford, which will provide Ford Escape hybrids outfitted with Argo AI technology to make the deliveries. Argo AI, a co-venture between Ford and Volkswagen, will provide the cloud-based infrastructure to schedule drop-offs and safely route orders. Focusing on those three metro areas will show'the potential for autonomous vehicle delivery services at scale,' said Argo AI founder Bryan Salesky. Initial integration testing is expected to begin later this year, the companies said, and the service initially will be limited to specific areas in each city before being expanded over time.