Country
Trash-talking robot troll makes people worse at playing video games
Just like human opponents, robots can get on our nerves while playing video games. Aaron Roth of Carnegie Mellon University in Pennsylvania and his colleagues found that the language a robot opponent used during a competitive game affected how well people played. Negative comments from the robot caused humans to play less rationally. The researchers used a humanoid robot developed by SoftBank Robotics. It is equipped with cameras and microphones and can speak and move.
New InfiniteIO Platform Reduces Latency and Accelerates Performance for Machine Learning, AI and Analytics
InfiniteIO, the world's fastest metadata platform to reduce application latency, today announced the new Application Accelerator, which delivers dramatic performance improvements for critical applications by processing file metadata independently from on-premises storage or cloud systems. The new platform provides organizations across industries the lowest possible latency for their mission-critical applications, such as AI/machine learning, HPC and genomics, while minimizing disruption to IT teams. This press release features multimedia. "Bandwidth and I/O challenges have been largely overcome, yet reducing latency remains a significant barrier to improving application performance," said Henry Baltazar, vice president of research at 451 Research. "Metadata requests are a large part of file system latency, making up the vast majority of requests to a storage system or cloud. InfiniteIO's approach to abstracting metadata from file data offers IT managers a nondisruptive way to immediately accelerate application performance."
Tomasz Wieczorek on LinkedIn: "#Surveillance monitoring in combination with #AI is becoming must for future of cities. Increasing security and public efficiency is natural move for development. With #delltechnologies it is closer you can imagine ! #DellTechCEE #iwork4dell "
Safe Cities conference is happening now, in #Bucharest. Here are three ideas from this insightful event: "Gen Z could represent 20% of the workforce by 2020." City admistrators need to think out of the box in order to attract and retain Gen Z. KEY POINT: Data is the main FUEL for the cities of the future. This was such a great opportunity to have Romania on the map of #Dell #Safe Cities world tour.
Chinese auto executive identifies what's holding back self-driving cars
The technology behind self-driving cars has advanced in recent years, but the vehicles still have a long way to go before becoming a common feature on the roads, said an executive from a a major Chinese automaker. Some of the hurdles impeding self-driving cars include legal restrictions, people's mobility habits, and technology that's still changing and maturing, Feng Xingya, president of Guangzhou Automobile Group or GAC, said on Monday at CNBC's East Tech West conference in the Nansha district of Guangzhou city, China. "A self-driving system is a developing concept," Feng said in Mandarin translated by CNBC. He added that the technology behind such vehicles are still being developed, with breakthroughs coming in batches.
DeepFakes, stories written by AI - who can you trust?
Just take a moment to think about how many times you blindly trust someone or something every single day. From the very simple things you might not realise, like trusting your alarm will wake you up or the electricity provider has honoured it's obligation to maintain a steady electricity supply to your house, meaning your breakfast hasn't spoiled over night. Perhaps you're thinking about the trust you share between the members of your household, or that your neighbour will bring your bins in and feed your cats whilst you are on holiday. Did you think about how you trust that your government will support you in times of need, or that when you go to the shops your card will work or the money in your pocket will still be valid? Perhaps you thought about fake-news, as this is a hot topic recently?
The Secrets of Successful AI Startups. Who's Making Money in AI Part II?
AI is in full gold rush mode. Every day we hear headlines of AI companies raising vast sums of capital to give them the resources to prospect the veins of AI gold. The money is flowing to these new frontiers. In the US venture capital funding for AI grew 72% year over year to a whopping $9.3B in 2018. Dataminr, a New York based AI and machine learning company that makes sense of news and information in real time, raised US$392 million in 2018, for example.
How AI Can Reduce Electricity Theft
Since renewable energy is more economically feasible, this has led to self-generation, with solar panels or wind turbines on the roof of our home. We hope that such installations will reduce our energy bills while helping the planet and everything at the same time. If we cannot save the electricity generated, Then it will fall and power theft is a surprisingly big thing. The Revenue Protection Association estimates that such theft costs 40 440 million a year in the UK alone. In Brazil, Electrobras claims that 22% of its electricity is lost due to fraud and theft.
The Age of Thinking Machines
We live in the greatest time in human history. Only 200 years ago, for most Europeans, life was a struggle rather than a pleasure. Without antibiotics and hospitals, every infection was fatal. There was only a small elite of citizens who lived in the cities in relative prosperity. Freedom of opinion, human and civil rights were far away. Voting rights and decision-making were reserved for a class consisting of nobility, clergy, the military and rich citizens. The interests of the general population were virtually ignored.
Speech Analytics Market Analysis of Key Players, Market Key Players, End User, Demand and Consumption By 2025 - Montana Ledger
Rising number of contact centers and necessity for compliance and risk management across several verticals have led the companies to invent solutions in speech analytics which will aid companies to comprehend the changing necessities of customers. Several organizations functioning in diverse industrial domains have been evolving interests for the transcription and analyzing of customers and structural media and uptake rational decisions for the management of business and consumers with the help of speech and text intelligence. This is the main factor that is responsible for the growth of the speech analytics market and a protuberant driving factor in the growing demands for speech analytics in several industrial applications. This rising demand can also be accredited to the burdens on businesses for safeguarding their rational assets for improving agility and competence in business operations via the all-embracing insights quarried in the Voice of Customer (VoC). Speech analytics is used in sectors such as customer experience management, agent performance, business processes, compliance and risk management, and market intelligence.
Digital agriculture: Making the most of machine learning on farm
"AI is the broader concept of machines being able to carry out tasks in a way that is considered smart. The smart processes include machines being able to function automatically, reason and learn by themselves," explains Claudia Ayin, an independent ICT consultant. Machine learning is the aspect of AI that allows computers to learn by themselves. "Machine learning is therefore a branch of AI that is able to process large data sets and let machines learn for themselves without having been explicitly programmed," she adds. According to MarketsandMarkets, an Indian research company, in 2018 the worldwide AI in agriculture market was valued at €545 million and, by 2025, is expected to reach €2.4 billion as more and more smallholder farmers adopt new, data-driven technologies.