In June, a video allegedly showing Datuk Seri Azmin Ali, the Malaysian minister of economic affairs, engaged in a sexual tryst with Muhammad Haziq Abdul Aziz, a deputy Malaysian minister's secretary, surfaced online. The video spread like wildfire, and subsequently threw the country's media into a frenzy. The video had real-world consequences, and Abdul Aziz, who in the eyes of the government had committed a crime, was quickly arrested. But, according to Malaysia's prime minister, the video was just one of countless other scarily-accurate deepfake videos that have been finding their way onto the internet in the last year. Deepfakes work by using something called a generative adversarial network (GAN), which is made up of two artificial intelligent processes that are pitted against each other – a generator and a discriminator.

Artificial Intelligence (AI) tools are set to change the way medicine is practiced. In his book Deep Medicine, Eric Topol argues that AI can change medicine for the better, if implemented in a way that focuses on improving the doctor-patient connection. Here we look at 7 ways in which AI can improve the patient experience. A number of algorithms show promise when it comes to medical diagnoses.1 Generally, these are Machine Learning (ML) algorithms, such as neural networks or clustering algorithms, where a computer is trained on a very large data set.

Those working at L1 and L2 of IT operations, those running the data centres and service desks, are inundated with requests 24/7. This problem is one CIOs and managed service providers (MSPs) are all to familiar with and was the inspiration behind the genesis of Ayehu -- "how can we help individuals and companies with the pain of having to be constantly available," asked Gabby Nizri, the CEO and founder of the company? It takes time to find the problem and a solution in IT operations, "so the idea was to create a virtual operator to replace live people working at L1 of IT operations, which was inefficient anyway," he answered. "The vision was to run IT operations autonomously." Ayehu is a subscription-only automation orchestration company, focused on getting rid of inefficient IT operations.

The healthcare sector in recent times has witnessed more technological innovations such as Artificial Intelligence, Big Data, Robotic Surgery, among others. As, in one side, big data is very significant in the healthcare and enabling patient information more shareable safely and precisely, on the other hand, robots are assisting medical personnel by discharging from routine tasks, making medical procedures safer and less costly for patients. With the help of big data, a huge amount of information can be stored systematically. Today, doctors and other healthcare practitioners can make informed decisions because they have access to a wide range of data. Conversely, AI is now increasingly helping to improve robot-assisted surgery. The technology is already being utilized to identify diseases more precisely and in their early stages, such as cancer.

"Artificial intelligence is often considered magic," says Professor Tom Davenport, addressing a crowd at Babson's Boston campus during the recent Centennial Celebration. "Companies think it can transform their businesses overnight." Davenport, the President's Distinguished Professor of Information Technology, is an AI expert, thanks to his research and work with large enterprises. Instead, Davenport says what really works is lots of low-hanging fruit. "Jeff Bezos calls it quietly but meaningfully improving core operations," says Davenport, who describes it more succinctly as "boring AI." There's little doubt that artificial intelligence is here to stay.

ISLAMABAD: President Dr Arif Alvi has stressed upon strengthening of Pakistan-Japan cooperation in the field of artificial intelligence (AI) as Pakistan has huge potential in terms of more than half of its young population. During an interview with the Japanese News 24 (NTV), the president said he had launched the artificial intelligence training system initiative with target to produce about 100,000 AI experts within two years. Dr Alvi is in Japan on the invitation of the Japanese government to attend the enthronement ceremony of Emperor of Japan Naruhito. The president invited the Japanese software companies to invest in Pakistan and said it was possible to engage in the software development and artificial intelligence development. He said there were a lot of Japanese investment destinations in Pakistan.

The Defense Department has pinned its hopes on someday putting artificial intelligence tools in the hands of warfighters to help them make data-driven decisions on the battlefield, but given the current state of the technology and the dearth of training data that algorithms need, that goal appears difficult to achieve in the short-term. The defense community, including the Defense AI Center stood up last year, have rolled out AI pilots on everything from predictive maintenance of aircraft and vehicles to autonomous ships. For all of DoD's aspirational projects, AI tools tend not to fare well in situations where data is spare or not structured in a way that the algorithm can't process. Ranjeev Mittu, the head of the Naval Research Lab's information management and decision architectures branch, said the AI algorithms of today are starved for reliable training data to make informed decisions in the real world. "It's not really clear how much data is needed under what scenarios, for what kinds of problems yet, and I think it's kind of emerging. There's a lot of research going on, but I think fundamentally there's still a lot more research that needs to be done in the relationship between data and training, and what the right tradeoffs are for the different kinds of problems," Mittu said in an interview with Federal News Network.

Veena Dubal is an unlikely star in the tech world. A scholar of labor practices regarding the taxi and ride-hailing industries and an Associate Professor at San Francisco's U.C. Hastings College of the Law, her work on the ethics of the gig economy has been covered by the New York Times, NBC News, New York Magazine, and other publications. She's been in public dialogue with Naomi Klein and other famous authors, and penned a prominent op-ed on facial recognition tech in San Francisco -- all while winning awards for her contributions to legal scholarship in her area of specialization, labor and employment law. At the annual symposium of the AI Now Institute, an interdisciplinary research center at New York University, Dubal was a featured speaker. The symposium is the largest annual public gathering of the NYU-affiliated research group that examines AI's social implications.

Researchers are proposing a framework for artificial intelligence (AI) that would allow users to understand the rationale behind AI decisions. The work is significant, given the push move away from "black box" AI systems--particularly in sectors, such as military and law enforcement, where there is a need to justify decisions. "One thing that sets our framework apart is that we make these interpretability elements part of the AI training process," says Tianfu Wu, first author of the paper and an assistant professor of computer engineering at North Carolina State University. "For example, under our framework, when an AI program is learning how to identify objects in images, it is also learning to localize the target object within an image, and to parse what it is about that locality that meets the target object criteria. This information is then presented alongside the result." In a proof-of-concept experiment, researchers incorporated the framework into the widely-used R-CNN AI object identification system.

Hyundai has combined its cruise control system with machine learning technology to make the driving experience more personal. Called Smart Cruise Control, the union allows the cruise control to mimic the driving style of the human owner. The technology is capable of learning the preferred distance between cars, takes into account acceleration, knows how you respond to traffic changes and more. Hyundai has combined its cruise control system with machine learning technology to make the driving experience more personal. Hyundai has deemed what it has named machine learning-based Smart Cruise Control (SCC-ML) 'an industry first' and is set to be implemented in future vehicles.