A hatter and a railway clerk's 1925 medical breakthrough became one of the most profound events in medical history. Breakthroughs, discoveries, and DIY tips sent every weekday. In 1925,, one of the world's most prestigious medical journals, published a blockbuster finding so significant that its editors offered a rare prelude: "The two communications which follow mark an event in the history of medicine . They form a detailed description of a prolonged and intensive research into the origin of malignant new growths, and they may present a solution of the central problem of cancer." On the day the studies were scheduled to be released, word began to spread beyond the scientific community.

Explanations of machine learning models are important, especially in scientific areas such as chemistry, biology, and physics, where they guide future laboratory experiments and resource requirements. These explanations can be derived from well-trained machine learning models (data-driven perspective) or specific domain knowledge (domain-driven perspective). However, there exist inconsistencies between these perspectives due to accurate yet misleading machine learning models and various stakeholders with specific needs, wants, or aims. This paper calls attention to these inconsistencies and suggests a way to find an accurate model with expected explanations that reinforce physical laws and meet stakeholders' requirements from a set of equally-good models, also known as Rashomon sets. Our goal is to foster a comprehensive understanding of these inconsistencies and ultimately contribute to the integration of eXplainable Artificial Intelligence (XAI) into scientific domains.

Matt Barnard, chief executive officer and co-founder of Plenty Inc., speaks at the SoftBank World 2019 event in Tokyo, Japan, on Thursday 2019. Barnard said the company's high-tech approach to growing crops indoors results in plants that yield more without pesticides, use a fraction of water of their counterparts in the field and taste better, to boot. The use of AI (artificial intelligence) in agriculture is not new and has been around for some time with technology spans a wide range of abilities--from that which discriminates between crop seedlings and weeds to greenhouse automation. Indeed, it is easy to think that this is new technology given the way that our culture has distanced so many facets of food production, keeping it far away from urban spaces and our everyday reality. Yet, as our planet reaps the negative repercussions of technological and industrial growth, we must wonder if there are ways that our collective cultures might be able to embrace AI's use in food production which might include a social response to climate change.

The Department of Transportation has released new guidance for automated vehicles that identifies and supports the development of voluntary technical standards, defines government's roles, describes a risk-management framework for safety and provides a process for working with the department on this technology. This non-binding guidance, "Preparing for the Future of Transportation: Automated Vehicles 3.0," was announced by the department on Oct. 4. AV 3.0 prioritizes safety and technical neutrality and minimizes regulation, while promoting operational and legal consistency across states and throughout the transportation industry. The document is meant to clarify some safety standards in hopes of building public trust and confidence in automated vehicle technology, DOT Secretary Elaine L. Chao said at a press conference announcing the report. "AV 3.0 builds upon but does not replace voluntary guidance provided in "2.0 A Vision for Safety," Chao said. "Vehicle automation is still in the early stages of development.

Environmental author Wendell Berry might shudder at this comparison, but farmers are like data scientists. To make decisions, they ferret out meaning from a sea of data. That data just happens to be related to environmental conditions like temperature, rainfall, salinity, nitrogen, pests, commodity prices, and other variables. What that data often shows is trouble: increasingly costly or scarce water supplies, new and more voracious pests, herbicide-resistant weeds, and extreme weather. All of this can result in lower farm yields and higher costs.

We have known for some time that the number of signals coming from your IT systems surpassed the ability for humans to keep track of them years ago. Machines can help and have been for some time. The advent of artificial intelligence and machine learning has accelerated that ability and today, Cisco announced that it is using these technologies to help customers find failures before they become major issues. Cisco's solutions are similar to others out there using AI and machine learning to help augment humans' ability to sift through the mass of information being thrown at us by these systems. The company is introducing two new sets of services to address this need.

We have known for some time that the number of signals coming from your IT systems surpassed the ability for humans to keep track of them years ago. Machines can help and have been for some time. The advent of artificial intelligence and machine learning has accelerated that ability and today, Cisco announced that it is using these technologies to help customers find failures before they become major issues. Cisco's solutions are similar to others out there using AI and machine learning to help augment humans and our ability to sift through the mass of information being thrown at us by these systems. The company is introducing two new sets of services to address this need.

SAN FRANCISCO, June 9 (Reuters) - Apple Inc announced a series of long-awaited enhancements to its App Store on Wednesday, but the new features may not ease concerns of developers and analysts who say that the App Store model - and the very idea of the single-purpose app - has seen its best days. The revamped App Store will let developers advertise their wares in search results and give developers a bigger cut of revenues on subscription apps, while Apple said it has already dramatically sped up its app-approval process. The goal is to sustain the virtuous cycle at the heart of the hugely lucrative iPhone business. Software developers make apps for the iPhone because its customers are willing to pay, and those customers, in turn, pay a premium for the device because it has the best apps. The store is now more strategically important than ever for Apple as sales of the iPhone begin to level off and the company looks to software and services to fill the gap.

SAN FRANCISCO, June 9 (Reuters) - Apple Inc announced a series of long-awaited enhancements to its App Store on Wednesday, but the new features may not ease concerns of developers and analysts who say that the App Store model - and the very idea of the single-purpose app - has seen its best days. The revamped App Store will let developers advertise their wares in search results and give developers a bigger cut of revenues on subscription apps, while Apple said it has already dramatically sped up its app-approval process. The goal is to sustain the virtuous cycle at the heart of the hugely lucrative iPhone business. Software developers make apps for the iPhone because its customers are willing to pay, and those customers, in turn, pay a premium for the device because it has the best apps. The store is now more strategically important than ever for Apple as sales of the iPhone begin to level off and the company looks to software and services to fill the gap.

SAN FRANCISCO (Reuters) - Apple Inc announced a series of long-awaited enhancements to its App Store on Wednesday, but the new features may not ease concerns of developers and analysts who say that the App Store model - and the very idea of the single-purpose app - has seen its best days. The revamped App Store will let developers advertise their wares in search results and give developers a bigger cut of revenues on subscription apps, while Apple said it has already dramatically sped up its app-approval process. The goal is to sustain the virtuous cycle at the heart of the hugely lucrative iPhone business. Software developers make apps for the iPhone because its customers are willing to pay, and those customers, in turn, pay a premium for the device because it has the best apps. The store is now more strategically important than ever for Apple as sales of the iPhone begin to level off and the company looks to software and services to fill the gap.