Will Artificial Intelligence disrupt business? The once-futuristic predictions about how Artificial Intelligence (AI) will impact the world are becoming reality. Legendary futurist Ray Kurzweil has imagined advanced technology delivering everything from computerised brain chips to near-total automation of industries, and we already see the signs that AI will ultimately change the way we live and work. AI, where computers behave like humans, is no longer the stuff of science fiction. In many respects, AI is like a freight train racing down the tracks.

Google's artificial intelligence researchers are starting to have to code around their own code, writing patches that limit a robot's abilities so that it continues to develop down the path desired by the researchers -- not by the robot itself. It's the beginning of a long-term trend in robotics and AI in general: once we've put in all this work to increase the insight of an artificial intelligence, how can we make sure that insight will only be applied in the ways we would like? It's really less a killswitch than a blind spot, removing from the AI the ability to learn the wrong lessons. Specifically, they code the AI to ignore human input and its consequences for success or failure. If going inside is a "failure" and it learns that every time a human picks it up, the human then carries it inside, the robot might decide to start running away from any human who approaches. If going inside is a desired goal, it may learn to give up on pathfinding its way inside, and simply bump into human ankles until it gets what it wants.

The young British coder whose simple "robot lawyer" chatbot has overturned more than 170,000 unlawful parking tickets in the UK and America has set his sights on solving homelessness by providing people with basic legal advice. An update to his DoNotPay bot works by asking users a simple set of questions about their circumstances, before advising them on the best course of action--often helping them draft an effective form letter to apply to their local councils for emergency housing. Councils have to take every letter seriously, and using Freedom of Information requests, he's researched the best ways to prompt them into acting on his bot's clients' behalf. The bot's creator, Joshua Browder, a 19-year-old Brit studying at Stanford University in California, told Ars that since the update launched last Wednesday "almost every local government in the UK has signed up for the website." "I can see on the back end that they are actively trying out the service for themselves," he added.

Scientists in Japan reportedly saved a woman's life by applying artificial intelligence to help them diagnose a rare form of cancer. Faced with a 60-year-old woman whose cancer diagnosis was unresponsive to treatment, they supplied an AI system with huge amounts of clinical cancer case data, and it diagnosed the rare leukemia that had stumped the clinicians in just ten minutes. The Watson AI system from IBM matched the patient's symptoms against 20m clinical oncology studies uploaded by a team headed by Arinobu Tojo at the University of Tokyo's Institute of Medical Science that included symptoms, treatment and response. The Memorial Sloan Kettering Cancer Center in New York has carried out similar work, where teams of clinicians and data analysts trained Watson's machine learning capabilities with oncological data in order to focus its predictive and analytic capabilities on diagnosing cancers. IBM Watson first became famous when it won the US television game show Jeopardy in 2011.

Humans are amazing creatures – driven by curiosity, intellect, ambition. The Olympic Games this month and the Nobel Prize Awards are examples of how our society reveres those who push their limits to achieve the seemingly impossible in both work and life. Digital advancements and new technologies are quickly redefining what is possible by accelerating human potential beyond the physical and intellectual capabilities of just a few years ago. But what can humans achieve with a little help from artificial intelligence? According to Erik Brynjolfsson, economist at MIT and the co-author of The Second Machine Age, "The accumulated doubling of Moore's Law, and the ample doubling still to come, gives us a world where supercomputer power becomes available to toys in just a few years, where ever-cheaper sensors enable inexpensive solutions to previously intractable problems, and where science fiction keeps becoming reality."

Nasa launches million dollar contest to create'Valkyrie' AI robot that will accompany astronauts on ... What Exactly Do You Mean By AI?

Today we're excited to announce the availability of NVIDIA DIGITS 4. DIGITS 4 introduces a new object detection workflow and DetectNet, a new deep neural network for object detection that enables data scientists and researchers to train models that can detect instances of faces, pedestrians, traffic signs, vehicles and other objects in images. Object detection is one of the most challenging problems in computer vision and is the first step in several computer vision applications. The goal of an object detection system is to detect all instances of objects of a known category in an image. Figure 1 shows the final results of an object detection system trained with DIGITS which can detect vehicles on a construction site. Starting with a successful vehicle detection system like this, you can solve a number of other problems such as recognizing the makes and models of the vehicles, counting and tracking vehicle locations over time, generating natural language descriptions of the images and so on.

Kyulux Inc announced that it has a license with Harvard University's Molecular Space Shuttle deep learning system to develop new display and lighting application materials, according to a news release. Kyulux is an advanced materials start-up company that commercializes thermally activated delayed fluorescence (TADF) OLED display and lighting technology. The Molecular Space Shuttle is an artificial intelligence platform designed by Alán Aspuru-Guzik's group at Harvard's chemistry and chemical biology department, where Aspuru-Guzik is a professor.

FANUC, the world's largest maker of industrial robots, plans to start connecting 400,000 of their installed systems by the end of this year. The goal is to collect data about their operations and, through the use of deep learning, improve performance. Similarly, Kuka is building a deep-learning AI network for their industrial robots. FANUC is now moving forward to connect all its manufacturing robots. The system proactively detects and informs of a potential equipment or process problem before unexpected downtime occurs.

When it comes to artificial intelligence, people typically envision a Sci-Fi world where robots take over humanity as we know it. But artificial intelligence is already here, improving everyday technologies such as ecommerce, surveillance systems and many others. To shed some light on how AI is used in this industry, we've asked Cristina Vatamanu, malware researcher at Bitdefender's Antimalware Labs, to answer a few questions. For the past 6 years, Cristina has demonstrated strong expertise in reverse engineering, exploit analysis, threat analysis and automated systems. She is now pursuing a PhD in Machine Learning theory in malware detection systems at "Gheorghe Asachi" Technical University in Iasi.