Machine learning and artificial intelligence (AI) systems are rapidly being adopted across the economy and society. These AI algorithms, many of which process fast-growing datasets, are increasingly used to deliver personalised, interactive, 'smart' goods and services that affect everything from how banks provide advice to how chairs and buildings are designed. There is no doubt that AI has a huge potential to facilitate and enhance a large number of human activities and that it will provide new and exciting insights into human behaviour and cognition. The further development of AI will boost the rise of new and innovative enterprises, will result in promising new services and products in – for instance – transportation, health care, education and the home environment. They may transform, and even disrupt, the way public and private organisations currently work and the way our everyday social interactions take place.
Nvidia CEO Jensen Huang proudly proclaimed on an analyst earnings call this week that artificial intelligence is the "single most powerful force of our time." Nvidia reported Q2 earnings and revenues that beat analysts' expectations as demand for graphics and artificial intelligence chips picked up. After the earnings call, I interviewed Huang about the company's progress. During the analyst call, he said there are more than 4,000 AI startups working with the company -- as compared to 2,000 AI startups in April 2017. In our interview, Huang said the actual number of AI startups Nvidia is tracking is closer to 4,500.
The automotive industry isn't just being driven by people -- it's also driven by data, particularly as automobile manufacturers move toward autonomous, self-driving vehicles. Last year, Waymo cars drove 1.2 million miles in California. Meanwhile, Tesla, with its Autopilot program, is actively collecting data from hundreds of thousands of vehicles to predict how its cars might perform autonomously. So far the company has collected hundreds of millions of miles worth of data. What are these autonomous vehicle manufacturers doing with all of that data?
Optimus Ride has already deployed its autonomous transportation systems in the Seaport area of Boston, in a mixed-use development in South Weymouth, Massachusetts, and in the Brooklyn Navy Yard, a 300-acre industrial park. Some of the biggest companies in the world are spending billions in the race to develop self-driving vehicles that can go anywhere. Meanwhile, Optimus Ride, a startup out of MIT, is already helping people get around by taking a different approach. The company's autonomous vehicles only drive in areas it comprehensively maps, or geofences. Self-driving vehicles can safely move through these areas at about 25 miles per hour with today's technology.
Object detection is a computer vision technique whose aim is to detect objects such as cars, buildings, and human beings, just to mention a few. The objects can generally be identified from either pictures or video feeds. Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we'll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well. Object detection locates the presence of an object in an image and draws a bounding box around that object.
Every drop of seawater contains thousands of cells that can reveal the diversity of life in our ocean. Using a self-contained robotic laboratory and an autonomous underwater vehicle, MBARI scientists and engineers are developing advanced collection techniques that may one day simplify the jobs of biologists and resource managers. A recent study confirms that autonomously collected samples of environmental DNA (eDNA) are equivalent to samples collected by people using traditional, manual methods. A growing body of research indicates that wildlife surveys using eDNA analyses can be as (or more) accurate than simply using traditional methods. As such, eDNA assessments appear to offer a very promising and cost-effective means for monitoring biodiversity, which presents an attractive proposition for researchers as well as resource managers who study ocean ecosystems.
One of China's newest autonomous vehicle makers, Neolix, recently put self-driving microvans into action as it looks to scale up its solution to the country's logistics puzzle made more complex by a surge in online shopping. The Beijing-based startup, barely a year old, has already deployed the vehicles in the capital and other cities, but it faces stiff competition from a crowded field where other players, especially e-commerce groups, are racing to develop similar robovans. "Operating 10,000 units will be an industry milestone and it is crucial [for us] to achieve it," said Yu Enyuan, 45, Neolix's founder and chief executive. Neolix's ambition is to replace the roughly 40 million vehicles providing so-called last-mile logistics in China, a market projected to be 3 trillion yuan ($428 billion). These home deliveries are now handled mainly by two- and three-wheel electric motorbikes, zigzagging through neighborhoods to carry everything from milk tea to mattresses.
As the journey towards self-driving cars gathers pace the first facility in the UK to develop self-parking cars is under construction in Warwickshire. 'Trusted Autonomous Parking' (Park-IT) is being created by Nuneaton-based global engineering firm, HORIBA MIRA, in partnership with Coventry University. The project will see the creation of a multi-storey car park, on-road parking bays and parking lot environments at the MIRA Proving Ground. Once complete the facility will provide real-world parking situations to support the development of self-parking cars. The parking areas will be co-located in the HORIBA MIRA City Circuit, a safe, comprehensible and fully controllable purpose-built'cityscape' test track environment.
DUBAI (Reuters) - China's Neolix has signed a preliminary agreement with Middle East e-commerce company noon to trial autonomous vehicles in Saudi Arabia and the United Arab Emirates. Neolix will build driverless vehicles customised to the region's weather conditions, where temperatures can soar above 50 degrees Celsius in the summer, noon said in a statement on Tuesday. Noon, a joint venture between Saudi Arabia's sovereign Public Investment Fund and Dubai billionaire Mohamed Alabbar, will focus on'last mile delivery' of the vehicles in select areas of Abu Dhabi and Dubai over the next few weeks, the company added. It did not give trial dates for Saudi Arabia. Neolix and noon signed the agreement during the state visit of Emirati crown prince Mohamed bin Zayed al-Nahyan to China.
Although it's still early days to truly gauge the immediate impact of 5G technology on businesses, you should all embrace for a shinier future. The role of 5G on the world's economy would be profound, especially in pushing the adoption rates of emerging technologies -- Artificial Intelligence (AI), the Internet of Things (IoT), and Augmented Reality (AR). These emerging techs are conspicuous with their far-reaching benefits and long-term economic potential. According to a study by Global Data, the intrinsic capacity of the fifth-generation cellular technology (5G) to connect the Internet's end systems with enhanced data flows and faster response times will unlock the full potential of emerging technologies. The buzz about 5G adoption has created a whirlwind interest among emerging tech innovators and vendors.