Through an enormous experimental effort the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences. Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single protein structure. Accurate computational approaches are needed to address this gap and to enable large-scale structural bioinformatics. Predicting the three-dimensional structure that a protein will adopt based solely on its amino acid sequence--the structure prediction component of the'protein folding problem'--has been an important open research problem for more than 50 years. Despite recent progress existing methods fall far short of atomic accuracy, especially when no homologous structure is available.

Like it or not – artificial intelligence is here, and it is going to stay. Researchers predict that by 2020, artificial intelligence technologies will be implemented in the majority of new software products and services, which will inevitably change the way we live, work, and do business. The machine learning technology is only in its infant stage, but it has already proven its efficiency in performing routine tasks in a broad array of industries, from retail, manufacturing, and healthcare to education and cybersecurity. However, while AI can be a huge help in detecting and fighting the latest cyber threats, experts are worried that artificial intelligence techniques could also bring more risks and even fuel cybercrime. "As AI capabilities become more powerful and widespread, we expect the growing use of AI systems to lead to the expansion of existing threats, the introduction of new threats and a change to the typical character of threats," a report warns. Researchers strongly suggest that before completely trusting the benefits of deep machine learning, it's crucial to take into consideration potential misuse of the artificial intelligence technology.

Artificial intelligence is ruling the market by introducing services that will change both the customer experience and the way we look at customers. The healthcare industry consists of medical instrument manufacturers, government and private sector hospitals, clinics, pathology labs etc. And includes diagnosis, medical care, illness prevention, and wellness. The industry is expected to reach 280 billion USD by the year 2020 and around 372 billion USD by the time we reach 2022. Which will be three times larger when compared to 2017.

Suddenly, deepfakes are questioning the integrity of automated identity verification, which undeniably is the way to go for securing trust and efficiency in our digitized world. With money laundering and identity theft at stake, sophisticated anti-spoofing measures are required. While liveness detection is a trusted mechanism to secure the real user's presence, deepfakes are now creating new attack vectors. What are deepfakes even and what can biometrics do against them? And are they the real challenge for identity verification?

Great effort from team BDMS and Crayon Data to put up a portal like this. Big Data Made Simple is one of the best big data content portals that I know.

AI or artificial intelligence is a field of computer science that's been relevant ever since the first computer was created back in the 1930s. Over the years, we have seen countless AI applications in both the social and technological aspects of our lives, but there is a still a significant part of this rapidly growing field that is unknown to most people. We will go over 7 things you didn't know about artificial intelligence that could be affecting your life right now. Do you ever wonder why you have to figure out all the CAPTCHAs to identify yourself? Well, back in 1950, Sir Alan Turing devised a test to determine if the user taking the test is either a computer or a human.

How often do you hear people use the terms "artificial intelligence" and "machine learning" interchangeably? The two are definitely related, and machine learning is actually a subset of artificial intelligence. However, as a greater number of businesses begin offering "intelligent" solutions, it becomes more vital than ever before to differentiate between these two concepts. After all, you may find yourself giving a presentation or speaking with someone who specializes in one of these fields, and you want to know what you're talking about. From cancer screenings to climate change, there are numerous applications for artificial intelligence.

Digital transformation will create trillions of dollars of value. While estimates vary, the World Economic Forum in 2016 estimated an increase in $100 trillion in global business and social value by 2030. Due to AI, PwC has estimated an increase of $15.7 trillion and McKinsey has estimated an increase of $13 trillion in annual global GDP by 2030. We are currently in the middle of an AI renaissance, driven by big data and breakthroughs in machine learning and deep learning. These breakthroughs offer opportunities and challenges to companies depending on the speed at which they adapt to these changes.

How Artificial Intelligence can improve Software Development Process? Today, Artificial intelligence dominates technology trends. It has impacted retail, finance, healthcare, and many industries around the world. In fact, by 2025, the global AI market is expected to reach an impressive $60 million. AI has transformed the way the software industry functions. It brought precision, speed, and efficiency to the entire SDLC (Software Development Life Cycle). AI allows developers to focus on design and feature building rather than correcting errors in the code.

In Meltzer, Bernard and Donald Michie (Eds.), Machine Intelligence 5. Edinburgh University Press.