Traumatic brain injury (TBI) is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units (ICU), but in spite of the proper and high-quality care, about one in three patients dies. Patients that suffer from severe TBI are unconscious, which makes it challenging to accurately monitor the condition of the patient during intensive care. In the ICU, many tens of variables are continuously monitored (e.g. However, only one variable, such as intracranial pressure, may yield hundreds of thousands of data points per day.

On Thursday, Elon Musk introduced the Tesla Cybertruck, an electric pickup that you might use to take Grandma to church, if Grandma is named Mad Maxine and lives inside the movie Blade Runner. As Roadshow's Tim Stevens and Andrew Krok point out, "given its relative performance and price, the Cybertruck could be a massive success for Tesla as it enters into the largest segment in the US market." You can reserve one for just $100, and if you're not yet sold, Tesla is making a new all-terrain vehicle that can charge in the truck's bed (not included in the truck's price). But maybe don't throw metal balls at the supposedly unbreakable windows. After they were dented in a public demonstration, Musk promised the company will fix that.

Lee Se-dol, the Go champion who famously lost to DeepMind's artificial intelligence player AlphaGo, has thrown in the towel for good. He believes that AI is so sophisticated that it's become pointless for him to try and improve -- the algorithms will always be ahead, he told Yonhap News Agency. "With the debut of AI in Go games, I've realized that I'm not at the top even if I become the number one through frantic efforts," he told Yanhap. "Even if I become the number one, there is an entity that cannot be defeated." Lee told Yanhap that his retirement also stems from the fact that his South Korean nationality prevents him from playing in the professional leagues in China or Japan -- he already left the Korean pro leagye over how it handled money.

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In line with its commitment to hire 2,500 engineers for Research and Development in India, Samsung India on Wednesday said it is set to hire more than 1,200 engineers from top institutions like IITs and BITS Pilani this year to create a robust Research and Development pool for generating innovative'Make in India' products for both the domestic and global markets. The South Korean giant hired 1,000 engineers last year from top engineering colleges including IITs, NITs and IIIT, giving a thrust to New-Age domains like Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), biometrics, Natural Language Processing (NLP), Augmented Reality (AR) and networks including 5G. Samsung India has three Research and Development in the country, in Bengaluru, Noida and Delhi. "In December 2017, we spoke about our commitment to hire 2,500 engineers in India by 2020. We hired 1,000 engineers in 2018 and are set to take 1,200 plus engineers on board in 2019. Samsung India is well on track to meet the commitment it made," Sameer Wadhawan, Head, Human Resources (HR), Samsung India, told IANS.

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by DataRobot. According to DataRobot's "The State of AI Bias in 2019," which was released last week, 42% of organizations surveyed reported being "very to extremely" concerned about AI bias occurring in their organizations. This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use "black box" machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple's senior vice president of machine learning and AI strategy.

In March of 2018, an Uber self-driving car killed for the first time: It did not recognize a pedestrian crossing the road. COMPAS, a machine-learning-based computer software system assisting judges in 12 courts in the US, was found by ProPublica to have harmful bias: It was discriminating between black and white people, suggesting to judges that the former were twice as likely to commit another crime than the latter and recommending longer detention periods for them before trial. I could continue with more examples of how AI can become harmful. Enterprises are infusing their enterprise applications with AI technology and building new AI-based digital experiences to transform business and accelerate their digital transformation programs. But there is a chance that all these positives about AI could end, especially if we continue to see examples like this of delivering poor-quality, untested AI or AI that's not properly tested for businesses and consumers.

Artificial Intelligence (AI) is a key driver for innovation in the global digital reality market, which includes immersive technologies such as virtual reality (VR), augmented reality (AR), X Reality (XR or Cross Reality) and Artificial Intelligence (AI) itself. Various reports project that advancements in technology such as 5G, artificial intelligence, edge computing, and robotics are expected to transform the augmented and virtual reality experiences in the near future. One by ResearchAndMarkets stated that: "The immersive technology market, including augmented and virtual reality, is expected to see huge growth in the next 5 years. Technological advancements such as 5G and artificial intelligence will transform the augmented and virtual experiences in the future. Some of the significant impacts of 5G across sectors could be enabling virtually crafted workplaces and fully interactive and emulating in-office work environments. Active companies in the markets this week include Micron Technology, Inc., Hawkeye Systems, Inc. (OTCQB: HWKE), NVIDIA Corporation (NASDAQ: NVDA), Intel Corporation (NASDAQ: INTC), International Business Machines Corporation (NYSE: IBM). The report projected that: "The AR and VR market revenue is expected to reach $55.01 billion by 2021.

With software eating the world, it's time for the United States to create a cabinet-level position focused on digital. Whether it was the flawed rollout of the ACA website, the identified need for cybersecurity protection of our energy grid, or AI on the battlefield, the executive branch needs digital leadership and expertise to help guide the country. Here are 10 issues that require coordination, oversight, and/or financial support at the national level with links to relevant content. How do you ensure that machine learning algorithms aren't biased – by race, by age, or by gender? When can you trust an AI black box algorithm and when isn't it suitable?

What if you could manipulate the facial features of a historical figure, a politician, or a CEO realistically and convincingly using nothing but a webcam and an illustrated or photographic still image? A tool called MarioNETte that was recently developed by researchers at Seoul-based Hyperconnect accomplishes this, thanks in part to cutting-edge machine learning techniques. The researchers claim it outperforms all baselines even where there's "significant" mismatch between the face to be manipulated and the person doing the manipulating. MarioNETte is technically a face reenactment tool, in that it aims to synthesize a reenacted face animated by the movement of a person (a "driver") while preserving the face's (target's) appearance. It's not a new idea, but previous approaches either (1) required a few minutes of training data and could only reenact predefined targets, or (2) would distort the target's features when dealing with large poses.