Jamie Heinemeier Hansson had a better credit score than her husband, tech entrepreneur David. They have equal shares in their property and file joint tax returns. Yet David was given permission to borrow 20 times the amount on his Apple Card than his wife was granted. The situation was far from unique. Even Apple's co-founder Steve Wozniak tweeted that the same thing happened to him and his wife despite having no separate bank accounts or separate assets.

It's an exciting time to be investing in mobility startups. Below are the current trends in the mobility industry and an overview of the startup ecosystem in Europe. The mobility industry is undergoing rapid change these days. While they bring opportunities for newcomers, they create challenges for the incumbents. Let's have a look at the four trends in more detail: While Mercedes Benz had already started to experiment with self-driving technology three decades ago, it wasn't until recently that autonomous driving (AD) efforts really speed up.

Roundup Here's this week's collection of AI-related news that we found interesting. Read on to find out more about a new chip coming to Microsoft Azure and how Twitter hopes to deal with deepfakes. Graphcore ML chips coming to Microsoft Azure: Graphcore, a British AI hardware startup, is teaming up with Microsoft to bring its Intelligence Processing Unit chip to cloud users. "The Graphcore IPU is unique in keeping the entire machine learning knowledge model inside the processor," it said this week. "With 16 IPU processors, all connected with IPU-Link technology in a server, an IPU system will have over 100,000 completely independent programs, all working in parallel on the machine intelligence knowledge model."

At Supercomputing 2019, Intel unveiled its vision for extending its leadership in the convergence of high-performance computing (HPC) and artificial intelligence (AI) with new additions to its data-centric silicon portfolio and an ambitious new software initiative that represents a paradigm shift from today's single-architecture, single-vendor programming models. Addressing the increasing use of heterogeneous architectures in high-performance computing, Intel expanded on its existing technology portfolio to move, store and process data more effectively by announcing a new category of discrete general-purpose GPUs optimized for AI and HPC convergence. Intel also launched the oneAPI industry initiative to deliver a unified and simplified programming model for application development across heterogenous processing architectures, including CPUs, GPUs, FPGAs and other accelerators. The launch of oneAPI represents millions of Intel engineering hours in software development and marks a game-changing evolution from today's limiting, proprietary programming approaches to an open standards-based model for cross-architecture developer engagement and innovation. "HPC and AI workloads demand diverse architectures, ranging from CPUs, general-purpose GPUs and FPGAs, to more specialized deep-learning NNPs, which Intel demonstrated earlier this month," said Raja Koduri, senior vice president, chief architect, and general manager of architecture, graphics and software at Intel.

Roundup Here's this week's collection of AI-related news that we found interesting. Read on to find out more about a new chip coming to Microsoft Azure and how Twitter hopes to deal with deepfakes. Graphcore ML chips coming to Microsoft Azure: Graphcore, a British AI hardware startup, is teaming up with Microsoft to bring its Intelligence Processing Unit chip to cloud users. "The Graphcore IPU is unique in keeping the entire machine learning knowledge model inside the processor," it said this week. "With 16 IPU processors, all connected with IPU-Link technology in a server, an IPU system will have over 100,000 completely independent programs, all working in parallel on the machine intelligence knowledge model."

Darktrace, the world's leading cyber AI company, announced today that travel company, Global Travel, a Singapore Top 500 Enterprise, has deployed artificial intelligence to protect confidential traveler information, including passport data. With more than 40 years of experience in corporate and leisure travel, Global Travel's reputation in Singapore is well-established. The company takes cybersecurity seriously in light of the numerous cyber-attacks wielded on organisations all over the world, where cyber-criminals look to steal or compromise personal information. While the company complies with Singaporean data privacy regulations under the Personal Data Protection Act (PDPA), Global Travel selected Darktrace to dramatically strengthen its security posture. It relies on Darktrace's world-leading cyber AI to not only monitor its digital systems 24/7, but also to act on its behalf when the AI spots malicious activity occurring.

Aviation Industry has been a supply of innovation. Be it technical developments that presently create it into the hands of consumers or proactive responses to economic trends quickly felt by the remainder of the globe, the aviation and part business is paving its approach. Below area unit some things that the business will expect to within the coming back years. Big data is growing its influence on the aviation business, informing the approach enterprises act with their customers and client expectations of the companies with that they network. Analytics facilitates makers to manage resources higher and cut back time to promote and allow airlines to understand customers higher and predict their behavior.

Artificial Intelligence, the science of inducing the simulation of human intelligence in machines, especially computer systems, is the future of all industries. There have been many instances of AI taking over manual work to increase efficiency and decrease work load in the industrial sector. The technology is also expected to have a boom in the medical sector because of the constant need of improvement of the machinery and medical equipment. This advancement in science could save a million lives by helping the doctors in diagnosing, treating, preventing, and rescuing the diseases by the push of a button. How it works is, basically a company which is trying to develop an AI for a particular hospital or even for the government, has to take in a ton of data from a ton of people.

If a mine collapses or an earthquake strands people underground in a subway car, first responders can't rush into that unknown subterranean environment without potentially endangering themselves. A rescue team must ensure an area is structurally sound and air is breathable before pushing forward -- which sometimes means help moves slower than anyone would like. In a competition sponsored by DARPA, teams are designing autonomous robots that can explore and map these potentially dangerous underground landscapes and also identify objects of interest to first responders like survivors, backpacks, cell phones or fire extinguishers. "With a robot, you're able to take much more risk and potentially move much faster in a rescue," said Sebastian Scherer, Carnegie Mellon University associate research professor and co-leader of Team Explorer, which took first place in the initial leg of that Subterranean Challenge using Microsoft's AirSim technology to train its robots to recognize objects in a simulated mine. "It's really difficult to design a system to operate in an environment where you really have no idea what's coming next. It has to be very robust and be able to make decisions on its own to get itself out of trouble," Scherer said.

YAMAGATA – Yamagata University has announced the discovery of 143 geoglyphs on the Nazca Pampa and surrounding areas in Peru, including one found in a study using artificial intelligence technology. The university's team, led by professor Masato Sakai, found 142 geoglyphs, including ones depicting humans, snakes and birds, through analysis of high-resolution images of the areas and fieldwork there between 2016 and 2018. The research was based on a hypothesis that many geoglyphs were created along small paths in the western region of the Nazca Pampa, according to the university's announcement Friday. The team conducted the AI-based study with cooperation from IBM Japan Ltd. between 2018 and 2019. The world's first such study analyzed aerial photographs using deep-learning techniques to look for what are likely to be geoglyphs.