It is a truth in the IT sector that digital developments are rarely as impressive or dramatic as what sci-fi movies and books imagine them to be. Take AI cyber attacks as an example. There haven't been any robot or AI uprisings, obviously (at least not yet). But if you were to ask a random person if an AI cyber attack has happened yet, odds are good they will respond in the negative. But the reality is that AI cyber attacks have happened and are happening, with increasing regularity to boot.

With COVID-19 affecting 206 countries, areas and territories, IBM (NYSE: IBM) is helping government agencies, healthcare organizations and academic institutions throughout the world use AI to put critical data and information into the hands of their citizens. With a flood of information requests from citizens, wait times in many areas to receive answers can exceed two hours. Available for no charge for at least 90 days and available to our client's citizens online or by phone, IBM Watson Assistant for Citizens on the IBM public cloud brings together Watson Assistant, Natural Language Processing capabilities from IBM Research, and state-of-art enterprise AI search capabilities with Watson Discovery, to understand and respond to common questions about COVID-19. "While helping government agencies and healthcare institutions use AI to get critical information out to their citizens remains a high priority right now, the current environment has made it clear that every business in every industry should find ways to digitally engage with their clients and employees," said Rob Thomas, general manager, IBM Data & AI. "With today's news, IBM is taking years of experience in helping thousands of global businesses and institutions use Natural Language Processing and other advanced AI technologies to better meet the demands of their constituents, and now applying it to the COVID-19 crisis. AI has the power to be your assistant during this uncertain time."

The COVID-19 outbreak has spurred considerable news coverage about the ways artificial intelligence (AI) can combat the pandemic's spread. Unfortunately, much of it has failed to be appropriately skeptical about the claims of AI's value. Like many tools, AI has a role to play, but its effect on the outbreak is probably small. While this may change in the future, technologies like data reporting, telemedicine, and conventional diagnostic tools are currently far more impactful than AI. Still, various news articles have dramatized the role AI is playing in the pandemic by overstating what tasks it can perform, inflating its effectiveness and scale, neglecting the level of human involvement, and being careless in consideration of related risks. In fact, the COVID-19 AI-hype has been diverse enough to cover the greatest hits of exaggerated claims around AI. And so, framed around examples from the COVID-19 outbreak, here are eight considerations for a skeptic's approach to AI claims.

VARESE, Italy (Reuters) - He doesn't wear a mask but he is helping save lives from coronavirus just the same. Tommy is one of six new robots helping flesh-and-blood doctors and nurses care for coronavirus patients at the Circolo Hospital in Varese, a city in the northern Lombardy region that is the epicenter of the outbreak in Italy. "It's like having another nurse without problems related to infection," said Doctor Francesco Dentali, director of intensive care at the hospital. The child-size robots with large blinking eyes are wheeled into rooms and left by a patient's bedside so doctors can look after others who are in more serious conditions. They monitor parameters from equipment in the room, relaying them to hospital staff.

In addition, Banks likely constrained given higher capital preservation requirements 2020 will be challenging for FinTechs to navigate, but prosperous times remain ahead post crisis where Disruptive winners take it all and demand for AI, Tech and IoT companies that help financials transform to a digital and Data driven interaction will surge.

Scientists have developed an artificial intelligence system that can translate a person's thoughts into text by analysing their brain activity. Researchers at the University of California developed the AI to decipher up to 250 words in real-time from a set of between 30 and 50 sentences. The algorithm was trained using the neural signals of four women with electrodes implanted in their brains, which were already in place to monitor epileptic seizures. The volunteers repeatedly read sentences aloud while the researchers fed the brain data to the AI to unpick patterns that could be associated with individual words. The average word error rate across a repeated set was as low as 3%.

Driven by the Mantra – Cashless Convenient Credit, ePayLater offers the simplest possible checkout experience in existence today, providing customers with the ability to conclude a transaction with just a click of the mouse or a tap of the touchscreen. It is a'Buy Now, Pay Later' solution through which customers can get access to an instant credit limit to make faster purchases, that too without having to pay at the same time. In a candid conversation with Express Computer's Gairika Mitra, Akshat Saxena, Co-Founder, ePayLater discusses about ePayLater in detail, the latest technology used, and much more… We have come up with an innovative solution to empower individuals to transact on credit anytime anywhere. Our partnership with IDFC Bank got us unprecedented access to the UPI system, which means we now offer credit services on merchant portals which are UPI-enabled and BharatQR network. Since the partnership, our customers have taken up Scan and Pay in a big way and we see almost 10-15% growth month on month in terms of UPI transactions.

The report titled "Cognitive Computing Market" report will be very useful to get a stronger and effective business outlook. It provides an in-depth analysis of different attributes of industries such as trends, SWOT analysis, policies, and clients operating in several regions. The qualitative and quantitative analysis techniques have been used by analysts to provide accurate and applicable data to the readers, business owners and industry experts. Cognitive Computing is completely changing the way organization use their big data in each verticals, especially in industries like Healthcare, BFSI and Customer services. This is big revolution in global information technology market and holds very strong potential of growth.

In the heart of Silicon Valley, Stanford clinicians and researchers are exploring whether artificial intelligence could help manage a potential surge of Covid-19 patients -- and identify patients who will need intensive care before their condition rapidly deteriorates. The challenge is not to build the algorithm -- the Stanford team simply picked an off-the-shelf tool already on the market -- but rather to determine how to carefully integrate it into already-frenzied clinical operations. "The hardest part, the most important part of this work is not the model development. But it's the workflow design, the change management, figuring out how do you develop that system the model enables," said Ron Li, a Stanford physician and clinical informaticist leading the effort. Li will present the work on Wednesday at a virtual conference hosted by Stanford's Institute for Human-Centered Artificial Intelligence.

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