Hitachi Ltd. and Honda Motor Co. plan to merge four auto parts makers to boost their competitiveness, industry sources said Wednesday. The plan is a response to increasing competition in the development of next-generation technologies such as electric and self-driving vehicles, the sources said. The two companies were expected to announce the plan later in the day. Hitachi would hold a majority stake in the merged company, according to the sources. The combined sales of the four firms would be around ¥1.8 trillion ($165 billion), making the merged company one of the leading auto parts manufacturers in Japan.

HeartVista is hoping to increase the use of CardiacMRI's. To achieve this goal, the Los Altos, CA-based company has developed the One Click Cardiac Package MRI software, which recently received FDA clearance. "It has been widely excepted in the clinical community and the scientific community that cardiac MRI is the gold standard for everything that you can almost do or diagnose in a cardiac setting," Itamar Kandel, HeartVista's CEO, told MD DI. "But the problem is that the actual scan itself is very complex; takes a lot of time, and takes a very high level of skill to even perform." He added, "You have this situation where the best technology is not approachable to the vast majority of the needs. The problem we came to solve is to bring this technology to the masses -to democratize Cardiac MRI." HeartVista's FDA-cleared Cardiac Package uses AI-assisted software to prescribe the standard cardiac views with just one click, and in as few as 10 seconds, while the patient breathes freely.

Jensen Sun developed Geoweaver, a system that uses machine learning for earth science data. Today's Earth scientists are spending less time standing in fields collecting soil samples, and more time behind a computer screen. Most geoscience data is automatically collected by sensors and satellites. The big challenge is making sense of all that data so that scientists can get back to what they do best: Observing the world, asking questions, conducting experiments, and finding evidence. Scientists use large, publicly available datasets from government programs such as NASA, NOAA, and USGS (that's the National Aeronautics and Space Administration, the National Oceanic and Atmospheric Administration, and US Geological Survey, in non-acronym speak).

TechXchange is conducting a talk on machine learning which is for anyone from fresher's to professionals interested in the topic of Machine learning. The event focuses on an ongoing dialogue between peers, covering topics on Machine learning, mainly on Machine learning as a service. We focus to educate and bring together those who are looking to grow their knowledge, build connections and relationships in the growing field of Information technology.

When it comes to AI or artificial intelligence, most people may think of sci-fi or matrix movies that seem so impossible. Most people think that AI applications are helpful in the distant future but not today. However, there are a lot of business processes that fully function without the help of a human workforce. These business processes operate purely through AI technology. Nowadays, it might be uncommon to hear this kind of statement but the reality is that AI is already incorporated in today's businesses regardless of what you think.

Artificial Intelligence is catching the attention of businesses across many disciplines and sectors with Food Processing and Handling (FP&H) being one of them. Today, the FP&H industry is capped at a whopping $100 billion and will continue to grow at a CAGR of 5% at least till 2021 says, McKinsey. AI is impacting the FP&H industry both directly and indirectly. For example, Indirectly, it helps farmers with weather prediction, which will help farmers to produce high-quality raw material for food processing companies, helping them to save bucks on sorting a product. AI also helps transportation companies in reducing the shipping cost, making food processing companies pay lesser for transportation.

At the OCTANe Medical Technology Innovation Forum, a speaker said artificial intelligence is not just about robots being used in health care, but also instruments and resources that will improve clinicians' workloads and diagnostics. "Artificial Intelligence is not about robotics, but more about an orchestra of available tools and instruments," Anthony C. Chang, MBA, MPH, MS, pediatric cardiology chief intelligence and innovation officer at Children's Hospital of Orange County, said during his presentation. Chang said robotic processing automation is underutilized. He said it will have a big impact in health care. "Robotic processing automation is simply having machines automating the things humans do. It is taking the robots out of the human," he said.

The objective of clustering is to partition a data set into groups according to some criterion in an attempt to organize data into a more meaningful form. There are many ways of achieving this goal. Clustering may proceed according to some parametric model or by grouping points according to some distance or similarity measure as in hierarchical clustering. A natural way to put cluster boundaries is in regions in data space where there is little data, i.e. in "valleys" in the probability distribution of the data. This is the path taken in support vector clustering (SVC), which is based on the support vector approach (see Ben-Hur et al., 2001).

German sports car maker Porsche and US aircraft manufacturer Boeing are teaming up to assess whether they can bring the dream, or nightmare, of a flying car to reality. The two companies announced this week that they're planning to make a concept vehicle with a "fully electric" vertical takeoff and landing (EVTOL) capability. The companies have created a mockup of a vehicle that looks like a sleeker version of the Batmobile from The Dark Knight Rises – exactly what you might expect from Porsche designers. The project will involve engineers from Boeing, Porsche, and Boeing subsidiary Aurora Flight Sciences, which makes unmanned aerial vehicles. The companies are exploring whether there's a market for premium vehicles.

EPSRC, on behalf of UKRI, is delivering this substantive phase of the Turing Artificial Intelligence (AI) Fellowships, working in partnership with The Alan Turing Institute, Department for Business, Energy and Industrial Strategy (BEIS) and the Office for Artificial Intelligence. Through this programme we aim to grow the UK's capability and capacity in addressing the methodological and theoretical challenges in AI and enable enhanced engagement between academia, industry and other sectors through flexible career paths that encourage inter-sector mobility. Outline proposals are invited for the Turing AI Acceleration Fellowships call. Up to £18 million is available to fund 10-15 fellows for 5 years. We are seeking to invest in the next generation of AI researchers who will undertake ambitious and novel research with a primary focus on tackling the methodological and theoretical challenges in AI driven by real world applications.