A deep learning algorithm can accurately detect acute intracranial hemorrhage (ICH) on head CT on par with highly trained neuroradiologists, in some cases identifying subtle abnormalities overlooked by the radiologists, new research shows. Only a "handful" of artificial intelligence (AI) applications in medical image interpretation have achieved this level of accuracy, Esther Yuh, PhD, of the University of California, San Francisco (UCSF), told Medscape Medical News. The study was supported by the California Initiative to Advance Precision Medicine and was published online October 21 in the Proceedings of the National Academy of Sciences. Head CT is the "workhorse" medical imaging modality for diagnosing neurologic emergencies, such as acute traumatic brain injury, stroke, and aneurysmal hemorrhage, the investigators note. "However, these gray scale images are limited by low signal-to-noise, poor contrast, and a high incidence of image artifacts. A unique challenge is to identify tiny subtle abnormalities in a large 3D volume with near-perfect sensitivity," they write.

The AI for Good 2020 accelerator programme helps purpose-driven ventures in the UK advance their AI solutions to create positive social transformation. Could you be one of the 12 organisations to join the 4-month programme?

In the last few years artificial intelligence (AI) and machine learning (ML) have both started to feature more prominently in technology. That is especially the case in video editing, where artificial intelligence is being integrated in more and more ways. Not long from now, AI may completely transform video editing – and in some ways it already is starting to do just that. One of the earliest examples of AI's use in video editing was as far back as 2016 when IBM used their Watson supercomputer to curate footage and create a trailer for the horror film Morgan. Essentially Watson used machine learning to analyze other trailers, and then applied what it learned to curate and select scenes from the film that it felt would be good for the trailer.

The summer of 2014 was a heady time in Silicon Valley. Cash was flowing as freely as Soylent as every Stanford graduate with a half-baked idea about a "pinch point" and a semi-plausible pitch book was lining up checks from venture capital firms. Into this mix came Washboard, a startup so utterly absurd that most of the news outlets that wrote about it (and boy did they write about it) took the trouble to clarify that it was, in fact, "real". Washboard was designed to solve a real, if insubstantial, problem: it can be difficult for those who rely on coin-operated laundry machines to acquire enough quarters to run a load. Banks have limited hours, small businesses are not always obliging, and most apartment buildings don't have change machines.

From Renaissance Florence to early 20th century Detroit to Silicon Valley today, innovation hotspots come and go. They are a product of the talent, networks and investment that consolidate in certain places at certain times, and the technological paradigm of their era. Today, Silicon Valley dominates through its strengths in internet businesses and high-tech innovation. Other hubs, such as London and New York, also lead the world in areas such as fintech, media and cyber-security. But the leadership of these cities is being challenged, particularly in other emerging industries, as innovation becomes more dispersed, new technological paradigms emerge and the cost of living in today's leading spots become prohibitive for young entrepreneurs. New research from The Economist Intelligence Unit, commissioned by Pictet, has analysed where commercial activity in today's most disruptive emerging technology fields, such as artificial intelligence (AI), robotics, advanced biosciences and blockchain, is most vigorous, to hint at where new hotspots of innovation and entrepreneurial activity are emerging.

"Call of Duty: Modern Warfare" releases October 25th and is anticipated to be the franchise's best game yet. Can a video game be too real? That's a concern being raised about "Call of Duty Modern Warfare," the latest salvo in the multibillion-dollar video game series. The new game, out Friday, has one scene set in a London townhouse known to harbor terrorists where British special operations forces are investigating. Inside, they find several people dressed as civilians.

Communication plays an essential role in our lives. Humans started with signs, symbols, and then made progress to a stage, where they began communicating with languages. Later computing and communication technologies came. Machines began communicating with humans and in some cases, with themselves also. The communication created the world of the internet, or as we technically know the Internet of Things(IoT).

Technology for MSMEs: As the fourth industrial revolution is seemingly upon us with deep technologies including artificial intelligence (AI), machine learning (ML) being its key drivers, small and emerging businesses in India are increasingly becoming cognizant of upskilling themselves in modern technologies to drive their future growth, according to a survey by upskilling company Great Learning. AI/ML, digital marketing followed by design thinking are the most crucial skills required to stay relevant in the future, according to 25 per cent, 19 per cent, and 10 per cent of 307 businesses surveyed with the majority being small and medium-sized businesses. "Lack of skilled talent in technology is among the key problems that businesses face in India. Even though companies know about the need to bridge this gap, they must take steps immediately towards it," Hari Krishnan Nair, Co-founder, Great Learning told Financial Express Online. Importantly, despite the awareness, 47 per cent of the businesses haven't assigned the budget for upskilling yet even as nearly 30 per cent firms said that they spend over Rs 1 lakh per employee per annum on upskilling and another around 14 per cent spend over Rs 3 lakh per employee per annum for the same.

Nvidia has announced the launch of EGX Edge Supercomputing Platform designed to let organisations easily deploy the hardware and software necessary for high-performance, low-latency AI workloads. Instead of being deployed inside big data centres, an EGX deployment is designed to sit at the edge of the cloud which, Nvidia believes, makes it ideal for the next generation of use cases. "We've entered a new era, where billions of always-on IoT sensors will be connected by 5G and processed by AI," Jensen Huang, Nvidia founder and CEO, said at a keynote ahead of MWC Los Angeles earlier this week. "Its foundation requires a new class of highly secure, networked computers operated with ease from far away. "We've created the Nvidia EGX Edge Supercomputing Platform for this world, where computing moves beyond personal and beyond the cloud to operate at planetary scale," he added. The EGX stack includes an Nvidia driver, Kubernetes plug-in, Nvidia container runtime, and GPU monitoring tools, delivered through the Nvidia GPU Operator, which allows you to standardise and automate the deployment of all necessary components for provisioning GPU-enabled Kubernetes systems. Nvidia will certify hardware as'NGC Ready for Edge' that customers will be able to buy from partners such as Advantech, Altos Computing, ASRock RACK, Atos, Dell Technologies, Fujitsu, GIGABYTE, Hewlett Packard Enterprise, Lenovo, MiTAC, QCT, Supermicro, and TYAN. Nvidia says EGX is already being used by customers. At Walmart's Intelligent Retail Lab in Levittown, New York, for example, EGX enables real time processing of more than 1.6 terabytes of data generated each second to "automatically alert associates to restock shelves, open up new checkout lanes, retrieve shopping carts, and ensure product freshness in meat and produce departments." The EGX platform features software to support a wide range of applications, including Nvidia Metropolis, which can be used to power smart cities and build intelligent video analytics applications. The city of Las Vegas, for example, is using EGX to capture vehicle and pedestrian data to make its streets safer. San Francisco's Union Square Business Improvement District is using EGX to capture real-time pedestrian counts for local retailers. "We use our smartphones sporadically -- we type into it, or watch a movie now or then -- and frankly there are only seven and a half billion of us," Huang said. "In the case of sensors, it will be streaming all the time.

Fourteen UK universities have been named as hosts for artificial intelligence doctoral training centres, as it was announced that government and industry spending of £370 million will create 2,700 new PhD places in biosciences and AI research in the country. Ministers said that there would be £100 million of government funding for AI Centres for Doctoral Training, along with £78 million from industry and £23 million from universities, providing 1,000 new PhD places over the next five years. Although the funding had been announced in 2018, it has now been confirmed which universities will host the first 200 students through the centres for doctoral training. UCL has secured two centres, while Swansea University is also among the hosts. The Department for Business, Energy and Industrial Strategy said in the announcement that the new doctoral students would "study AI which could help diagnose diseases like cancer earlier and make industries, including aviation and automotive, more sustainable", and would be "working closely with 300 leading businesses, including AstraZeneca, Google, Rolls-Royce and NHS trusts".