AI-powered machines and doctors will soon be working "hand-in-hand" to ensure better outcomes for patients, according to Elie Chaillot, the president and CEO of eastern growth markets at GE Healthcare. In a recent interview with Arabian Business, Chaillot said that GE Healthcare believes that "applied intelligence" will be used for a variety of purposes in the medical sector. "We believe at this stage, the doctor and the machine will work together, hand-in-hand for a better outcome," he said. "People say machines will replace doctors, but I don't believe this is going to happen anytime soon." As an example, Chaillot said that AI-technology can help direct a doctor's focus to certain areas of a scan that may need further attention. "Many of the diseases we treat are multifactorial.

San Francisco District Attorney George Gascon, left, announces a new AI tool that will curb racial biases when deciding criminal charges, alongside Alex Chohlas-Wood, right, who helped develop the tool.ASSOCIATED PRESS San Francisco says it will start using an artificial intelligence tool to reduce possible racial bias among prosecutors reviewing police reports, a "first-in-the-nation" use of a technology whose applications have been criticized for compounding bias. On Wednesday, District Attorney George Gascón announced that the city on July 1 would begin to use a "bias mitigation tool" that automatically redacts anything on the police report that might be suggestive of race, from hair color to zip code. Information about the police officer, such as badge number, will also be hidden. Currently, the district attorney's office manually removes the first few pages of the report, but if any race details are in the narrative--the section where the police officer describes the crime--prosecutors can see them. "This technology will reduce the threat that implicit bias poses to the purity of decisions which have serious ramifications for the accused, and that will help make our system of justice more fair and just," Gascón said.

The use of multilingual translation tools is expanding in Japan, where foreign workers are expected to increase in the wake of April's launch of new visa categories. A growing number of local governments, labor unions and other entities have decided to introduce translation tools, which can help foreigners when going through administrative procedures as they allow local officials and other officers to talk to such applicants in their mother languages. "Talking in the applicants' own languages makes it easier to convey our cooperative stance," said an official in Tokyo's Sumida Ward. The ward introduced VoiceBiz, an audio translation app developed by Toppan Printing Co. that covers 30 languages. The app, which can be downloaded onto smartphones and tablet computers, will be used in eight municipalities, including Osaka and Ayase in Kanagawa Prefecture, company officials said.

Remember the time when tech companies were cool? Once upon a time, Silicon Valley was the jewel in the American crown, a magnet for high IQ – and predominately male – talent from all over the world. Palo Alto was the centre of what its more delusional inhabitants regarded as the Florence of Renaissance 2.0. Parents swelled with pride when their offspring landed a job with the Googles, Facebooks and Apples of that world, where they stood a sporting chance of becoming as rich as they might have done if they had joined Goldman Sachs or Lehman Brothers, but without the moral odium attendant on investment backing. I mean to say, where else could you be employed by a company to which every president, prime minister and aspirant politician craved an invitation?

Event You know that you could achieve great things if only you had time to get to grips with TensorFlow, or mine a vast pile of text, or simply introduce machine-learning into your existing workflow. That's why at our artificial-intelligence conference MCubed, which runs from September 30 to October 2, we have a quartet of all-day workshops that will take you deep into key technologies, and show you how to apply them in your own organisation. Prof Mark Whitehorn and Kate Kilgour will dive deep into machine learning and neural networks, from perceptrons through convolutional neural networks (CNNs) and autoencoders to generative adversarial networks. If you want to get more specific, Oliver Zeigermann returns to MCubed with his workshop on Deep Learning with TensorFlow 2. This session will cover Neural Networks, CNNs and recurrent neural networks, using TensorFlow 2, and Python, to show you how to develop and train your own neural networks. One problem many of us face is making sense of a mountain of text.

The research surrounding methods of information retrieval is an entire field of science whose specialists aim to provide us with even better search results – a necessity as the amount of data constantly keeps growing. To succeed in their quest, researchers are focusing on the interaction between humans and computers, connecting methods of machine learning to this interaction. One of these researchers is Dorota Głowacka, who assumed an assistant professorship in machine learning and data science at the Helsinki Centre for Data Science HiDATA at the beginning of 2019. Głowacka is studying what people search for and how they interact with search engines, with a particular focus on exploratory search. This is a search method that helps find matters relevant to the person looking for information, even if they are not entirely certain about what they are looking for to begin with.

EcoFactor is one of several startups with a cloud computing platform to manage and analyze data from smart thermostats and other home energy devices. But it also specializes in using that data to monitor and predict performance problems and impending failures of the air conditioners keeping houses cool. That kind of technology could have a lot of value to the companies that make heating, air conditioning and ventilation equipment -- enough to make it worth owning. On Tuesday, HVAC giant Trane announced it has acquired EcoFactor's energy analytics software for an undisclosed sum. Trane, a brand of Ingersoll Rand, plans to integrate EcoFactor's "unique artificial intelligence (AI) capabilities for energy efficiency and HVAC fault detection" into its existing Nexia home automation line.

In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product engine that can compute convolution and fully-connected layer operations, memory elements to store intermediate inter and intra-layer results, and other components that can compute non-linear activation functions. Dot-product engines, which are essentially high-efficiency accelerators, have so far been successfully implemented in hardware in many different ways. In a study published last year, researchers at the University of Notre Dame in Indiana used dot-product circuits to design a cellular neural network (CeNN)-based accelerator for convolutional neural networks (CNNs). The same team, in collaboration with other researchers at the University of Minnesota, has now developed a CeNN cell based on spintronic (i.e., spin electronic) elements with high energy efficiency.

A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are difficult to spot and often overlooked in young people, according to new research published in the Journal of Biomedical and Health Informatics. Around one in five children suffer from anxiety and depression, collectively known as "internalizing disorders." But because children under the age of eight can't reliably articulate their emotional suffering, adults need to be able to infer their mental state, and recognise potential mental health problems. Waiting lists for appointments with psychologists, insurance issues, and failure to recognise the symptoms by parents all contribute to children missing out on vital treatment. "We need quick, objective tests to catch kids when they are suffering," says Ellen McGinnis, a clinical psychologist at the University of Vermont Medical Center's Vermont Center for Children, Youth and Families and lead author of the study.

In addition to these new attachment types, we've also raised the attachment file size limit to 25 MB for paginated reports to provide new options for popular customer scenarios like scheduled large data exports.