NASA has selected the site for its asteroid sample collection mission from the four previously-proposed candidates after a year of study. The spinning-top-shaped asteroid, '101955 Bennu', is a 1,614 feet (492 m) wide near-Earth object with a cumulative 1-in-2,700 chance of hitting Earth from 2175–2199. The chosen primary sample site -- dubbed'Nightingale' -- is located in a young crater high up in the asteroid's northern hemisphere. The Origins, Spectral Interpretation, Resource Identification, Security, Regolith Explorer -- or OSIRIS-Rex -- craft has been analysing Bennu since December 2018. If successful in its mission, OSIRIS-Rex will be the first US spacecraft to return samples of an asteroid to the Earth for analysis. For NASA researchers, Bennu will act like a time-capsule from the birth of the solar system, containing information on its formation and evolution.

GBT Technologies is a development-stage company, native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI) enabled mobile technology platforms. As Artificial Intelligence (AI) becomes increasingly visible in the popular imagination through applications such as virtual assistants, computer vision, natural language processing and self-driving cars, companies are unsurprisingly expanding their IP (intellectual property) portfolios to keep pace. According to the World Intellectual Property Organization (WIPO), "Since that time, innovators and researchers have published over 1.6 million AI-related scientific publications and filed patent applications for nearly 340,000 AI-related inventions." The report from WIPO looks at growth trends in AI, and specifically AI-related application patents. According to the research, machine learning (ML) is mentioned in 40 percent of all AI-related patents, while deep learning represents the "fastest growing technique in AI, with a 175 percent increase [from 2013 to 2016]."

Just a few days ago I found some old Neural Market Trends posts that I archived when I switched between blogging platforms. These were mostly about my Stock and Forex trading using AI (aka Machine Learning). While I was more lucky than right w.r.t. to AI in a strong trending market, the posts serves as a good reminder of the longterm investing strategy. I traded the EWM ETF back in April 2007. You can see it was in a nice upward trend and was trading last at $11.80.

Researchers working in The N.1 Institute for Health at the National University Of Singapore (NUS), led by Assistant Professor Camilo Libedinsky from NUS Psychology, and Senior Lecturer Shih-Cheng Yen from the Innovation and Design Programme at NUS Engineering, have discovered that a population of neurons in the brain's frontal lobe contain stable short-term memory information within dynamically-changing neural activity. This discovery may have far-reaching consequences in understanding how organisms have the ability to perform multiple mental operations simultaneously, such as remembering, paying attention and making a decision, using a brain of limited size. The results of this study were published in the journal Nature Communications on 1 November 2019. In the human brain, the frontal lobe plays an important role in processing short-term memories. Short-term memory has a low capacity to retain information.

Deep learning, a type of artificial intelligence, uses algorithms to recognize patterns. Deep learning holds considerable promise in medicine and may assist physicians in evaluating medical imaging for faster, more accurate diagnoses. Although the hope is that deep learning can transform and disrupt healthcare, how exactly to harness the technology is still being studied. It does, however, appear that deep learning could have an application in the diagnosis and management of retinal diseases. A number of studies have demonstrated the accuracy of deep-learning algorithms in diagnosing diabetic retinopathy and diabetic macular edema from fundus photographs.1, 2 Most recently, a study from Gulshan et al published in JAMA Ophthalmology assessed the performance of a deep-learning algorithm versus manual grading for diabetic retinopathy in India.3

The top 10 pharma companies have all collaborated with or acquired AI technologies: Novartis, Roche, Pfizer, Merck, AstraZeneca, GSK, Sanofi, Abbvie, Bristol-Myers Squibb, and Johnson & Johnson. Reports projecting where the industry would be in terms of artificial intelligence (AI) in 2020 predicted that AI and machine learning were set to transform the pharmaceutical industry … in the near future. Rock Health has monitored investments within the digital health ecosphere since 2011, and it reports that investments have started to shift into the pharmaceutical arena, mostly within the categories of R&D, clinical trials, and digital therapeutics, which includes using AI. According to a 2017 report by Pharma IQ, 95% of the pharma professionals surveyed expected the impact of intelligent enterprise technologies to take hold in the wider drug development industry over the next three years, with one-fifth of the respondents believing that the industry was on the cusp of a revolution. The cusp is here now and will continue to grow into 2020.

The Chief Justice of India may have cleared the air on India's courts using artificial intelligence (AI) in their decision-making process, but some concerns remain. In a measured gesture, CJI SA Bobde clarified a statement he reportedly made a few weeks ago at an event, saying that using technologies such as AI could help deliver justice swiftly. The CJI had also said that such technologies would help streamline hearing of cases while enabling better court management. The statement made many experts raise concerns over the potential abuse of AI in the judicial decision-making processes -- an issue that's fodder for heated debates across the globe now -- including former CJI RM Lodha, who at an event in Nagpur last week, expressed concerns over the use of AI in court proceedings. Today, the explosive growth in machine learning and AI seems so enticing that almost everyone, from businesses to governments to savvy individuals, is tempted to try these emerging technologies in services and processes they deem fit and in requirement of some automatic processes.

OSAKA – Osaka City Bus Corp. took media representatives for a test ride on a self-driving bus Monday. The affiliate of subway operator Osaka Metro Co. aims to start autonomous bus services in fiscal 2020, which starts April 1, in the city's waterfront area. A French-made Navya Arma autonomous bus was used in the test. When manual driving is necessary, the operator would have to use a controller because the Arma has no steering wheel. A staff member would push an emergency brake button when the vehicle meets an obstacle and needs to stop.

According to a new Forum-PwC report, released in Davos, Switzerland, there are eight ways in which artificial intelligence (AI) can help save the planet. The first being the use of autonomous and connected electric vehicles, as the technology will catalyse the transition to mobility on-demand. Through route and traffic optimisation, eco-driving algorithms, the programmed platooning of cars to traffic, and ride-sharing systems, transportation could contribute significantly less to greenhouse gas emissions. With distributed energy grids, AI could perfect the predictability of demand – and in turn supply – for renewable energy. This could amplify energy storage, efficiency, and load management, whilst also integrating renewables for better pricing for market incentives.

Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand the use of artificial intelligence technology in the oil patch.