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Florida Tesla crash which killed two will be investigated by federal board

The Guardian

Federal authorities will investigate a fiery car crash which killed two people in a Tesla in Florida last week. The National Transportation Safety Board announced on Twitter it would send three investigators to look into the operation of a Tesla Model 3 which left the road in Coral Gables and collided with a tree, and the fire that followed. "We always look especially closely at newer technology," said Peter Knudson, an NTSB spokesman. The crash occurred near a residential intersection. It was not immediately known if speed was a factor or if the car's automated driving system was activated.


Can robots replace humans?

#artificialintelligence

Technology has become dishy for the splendidness of its advancement and spellbinding charisma. All of us are certainly amazed when it comes to robots. The technical feasibilities of computer robots are mesmerizing. Still, this must be kept in mind that human is the begetter of a tech boot. A robot can replace humans in a workplace where programmed memory, ultrahigh-speed, rigorous accuracy, literal precision, and quick work service are required.


Pinaki Laskar on LinkedIn: #AI #TransAI #AIScience

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner With a virtually infinite superintelligence, as a Trans-AI, which is both transdisciplinary, transcendental and transcendent, our world would look different, as a trans-world, or I-World. It is powerful to project an image of the world into its digital mind making it to comprehend the immensity of the whole universe, its reality, causality, space-time. In pure life forms, there are material beings, energy beings and information entities. Material beings are natural objects of different scales, from elementary particles to the infinite universe, including our universe with its planets, stars, galaxies, clusters, etc. Energy beings are mostly composed of energy, they are imagined as a translucent glowing fluid or a collection of flames or electrical sparks or bolts or fire balls or ghosts.


Deploying Artificial Intelligence At The Edge

#artificialintelligence

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.


AI Can Help Address Inequity -- If Companies Earn Users' Trust

#artificialintelligence

Bullish predictions suggest that artificial intelligence (AI) could contribute up to $15.7 trillion to the global economy by 2030. From autonomous cars to faster mortgage approvals and automated advertising decisions, AI algorithms promise numerous benefits for businesses and their customers. Unfortunately, these benefits may not be enjoyed equally. Algorithmic bias -- when algorithms produce discriminatory outcomes against certain categories of individuals, typically minorities and women -- may also worsen existing social inequalities, particularly when it comes to race and gender. From the recidivism prediction algorithm used in courts to the medical care prediction algorithm used by hospitals, studies have found evidence of algorithmic biases that make racial disparities worse for those impacted, not better. Many firms have put considerable effort into combating algorithmic bias in their management and services.


Japan's betting on autonomous cars – for a unique reason – Tech Wire Asia

#artificialintelligence

Autonomous cars, commonly known as self-driving cars, aren't new in Japan -- nor the automotive industry. But whilst the rest of the developed world is pushing for autonomous vehicles largely for reasons of safety and convenience for people in general, Japan's a little different. It's to compensate for its aging population. The Japanese ageing population is in need of transportation -- but the country is plagued by persistent labor shortages. "In the cargo and transport sectors, drivers have become older and the shortage of human resources has become serious," a recent METI report said.


Walmart Is Launching an Autonomous Delivery Service in Three US Cities

#artificialintelligence

Walmart has been America's biggest retailer since the 1990s, its focus on low costs and ultra-efficient logistics helping it edge out competitors and keep customers coming back. But Amazon has been gaining on Walmart, and the pandemic gave the online retail giant a huge boost. Both companies are continuously searching for ways to cut costs while meeting consumer needs. It seems one of the needs that's steadily increasing is delivery. Whether due to busy schedules, health or safety concerns, or simply avoiding the stress of steering a loaded shopping cart up and down countless aisles, more people are trading in-store shopping for online shopping.


Top Financed Artificial Intelligence Companies

#artificialintelligence

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.


Walmart to launch autonomous delivery service with Ford and Argo AI – TechCrunch

#artificialintelligence

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.


Deploying Artificial Intelligence At The Edge

#artificialintelligence

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.