If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Many Tesla fans view the electric carmaker as a world leader in self-driving technology. CEO Elon Musk himself has repeatedly claimed that the company is less than two years away from perfecting fully self-driving technology. But in an interview with Germany's Manager magazine, Waymo CEO John Krafcik dismissed Tesla as a Waymo competitor and argued that Tesla's current strategy was unlikely to ever produce a fully self-driving system. "For us, Tesla is not a competitor at all," Krafcik said. "We manufacture a completely autonomous driving system. Tesla is an automaker that is developing a really good driver assistance system."
Machine Learning, in simple terms, is the ability of computers to learn on their own without the need to program new skills. Machine learning is really about advanced algorithms that, after processing certain data, can learn new things that can be very useful in making decisions. In turn, Python is one of the most popular high-level programming languages, which is characterized by high readability and clarity of the source code. Thanks to its clear and concise syntax, it is an ideal language for beginner programmers. The biggest advantages of the language are its simplicity, multiplicity of applications, security, and community.
Happy Hitman III to all who celebrate. The recent release of the latest installment in IO Interactive's legendary assassination games should keep most fans of series protagonist Agent 47 busy for a while. But in between dressing the big guy up as a ramen chef and dropping moose statues on unsuspecting bankers -- wouldn't it be fun to extrapolate the joy of playing Hitman and fancast a TV series that doesn't exist? Imagine, if you will, Hitman as a TV or streaming series. A Hitman show could be an ""assassination of the week" serial, mimicking the game series' meticulously designed levels, or it could follow an ongoing plot as Agent 47 prepares for one big hit.
Healthcare is a human right, however, nobody said all coverage is created equal. Artificial intelligence and machine learning systems are already making impressive inroads into the myriad fields of medicine -- from IBM's Watson: Hospital Edition and Amazon's AI-generated medical records to machine-formulated medications and AI-enabled diagnoses. But in the excerpt below from Frank Pasquale's New Laws of Robotics we can see how the promise of faster, cheaper, and more efficient medical diagnoses generated by AI/ML systems can also serve as a double-edged sword, potentially cutting off access to cutting-edge, high quality care provided by human doctors. Excerpted from New Laws of Robotics: Defending Human Expertise in the Age of AI by Frank Pasquale, published by The Belknap Press of Harvard University Press. We might once have categorized a melanoma simply as a type of skin cancer.
This week, Joe Biden was sworn in as the 46th president of the United States. To commemorate the outgoing Donald Trump's four years in office, we took a look at the most absurd, bizarre, or outright dangerous things Trump has said about cybersecurity. He's also not saying them on Parler, because no one has since the far-right platform got booted by Amazon Web Services. But! Remember how hackers downloaded every public post, image, and video from Parler right before it went down? A new site called Faces of the Riot has run that trove through some machine-learning and facial-recognition software to publish thousands of images of people who were at the Capitol Hill protests--and riots--on January 6.
It is quite a complex process to create voice user interfaces that are capable of natural language understanding and require no programming experience. Now a vision and voice technologies platform has released what could be the solution to the problem. This week Santa Clara, CA-based Sensory announced the official release of VoiceHub. VoiceHub is a free online portal for creating and designing accurate voice user interfaces. Its technologies are used in consumer electronics applications including mobile phones, automotive, wearables, toys, IoT and home electronics.
Silicon Valley Robotics is pleased to announce that we are a Connector organization for the E-ROBOT Prize, and other DOE competitions on the American-Made Network. There is \$2 million USD available in up to ten prizes for Phase One of the E-ROBOT Prize, and \$10 million USD available in Phase Two. Individuals or teams can sign up for the competition, as the online platform offers opportunities to connect with potential team members, as do competition events organized by Connector organizations. Please cite Silicon Valley Robotics as your Connector organization, when entering the competition. Silicon Valley Robotics will be hosting E-Robot Prize information and connection events as part of our calendar of networking and Construction Robotics Network events.
Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto. Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. Agile Machine Learning teaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment. The authors' approach models the ground-breaking engineering principles described in the Agile Manifesto.
In a year that has seen decades' worth of global shocks, bad news, and scandals squeezed into 12 excruciatingly long months, the summer already feels like a distant memory. In August 2020, the world was in the throes of a major social and racial justice movement, and I argued hopefully in VentureBeat that the term "ethical AI" was finally starting to mean something. It was not the observation of a disinterested observer but an optimistic vision for coalescing the ethical AI community around notions of power, justice, and structural change. Yet in the intervening months it has proven to be, at best, an overly simplistic vision, and at worst, a naive one. The piece critiqued "second wave" ethical AI as being preoccupied with technical fixes to problems of bias and fairness in machine learning.
Prostate cancer is one of the most common cancers among men. Patients are determined to have prostate cancer primarily based on PSA, a cancer factor in blood. However, as diagnostic accuracy is as low as 30%, a considerable number of patients undergo additional invasive biopsy and thus suffer from resultant side effects, such as bleeding and pain. The Korea Institute of Science and Technology (KIST) announced that the collaborative research team led by Dr. Kwan Hyi Lee from the Biomaterials Research Center and Professor In Gab Jeong from Asan Medical Center developed a technique for diagnosing prostate cancer from urine within only 20 minutes with almost 100% accuracy. The research team developed this technique by introducing a smart AI analysis method to an electrical-signal-based ultrasensitive biosensor.