With large numbers of new samples appearing every day the old signature-based methods of malware detection have become unwieldy.

AI can learn from millions of samples, but if it uses all samples for optimum detection that means slower learning and updates. The alternative is to use only select samples to keep up with the rate of change of malware, but this runs the risk of 'catastrophic forgetting ' of older patterns.

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Artificial intelligence (AI) is rapidly gaining momentum as a vital business resource as organizations discover new use cases in their efforts to improve processes, increase efficiency and automate costly, manual tasks. Industries such as financial services are ideal for AI-driven applications and a related technology, machine learning (ML), because they can bolster customer service and leverage data to increase competitiveness.

AI includes software that’s designed to work in ways similar to the human brain, while machine learning encompasses programs that alter themselves based on data that’s fed into the programs in order to train them.

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Only 23 percent of knowledge workers say their organization is ahead of the curve in digital capabilities to support knowledge work according to a new survey.

The study from iManage shows 68 percent of knowledge workers believe 'information contained in digital documents and files' is vital to their business. Respondents rate contracts, emails, and spreadsheets as the three most important sources of digital information.

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When it comes to delivering an immersive, exciting, and balanced gaming experience for the player, AI is certainly one of the focus points for developers. From building realism in a virtual world to making sure a game adapts to skill level, it has an increasingly important role to play in the industry.

To take a quick temperature check on the importance of AI for gamers, just look at what can happen when things aren't up to scratch. It was impossible to miss the burning wreckage of Cyberpunk 2077 as it came crashing down last year, with a buggy and faulty AI on display for all to see (among all the other issues). The internet was quickly filled with clips of enemies spawning out of the ether and cars circling the same roundabout ten times before vanishing. The bugs were enough to ruin the game's launch for many, with underperforming sales the end result.

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In a new study, 82 percent of respondents cite too many redundant or routine tasks as their most critical IT challenge, but 91 percent agree that automating routine manual tasks by introducing Artificial Intelligence for IT Operations (AIOps) can provide significant benefits across the enterprise.

The Autonomous Enterprise survey from Digitate shows 65 percent say lacking a proactive ability to predict, identify, and detect system issues is a major challenge.

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Despite an inarguably terrible year and many concerning events happening around the world -- pandemic notwithstanding -- technology is still advancing at breakneck speeds. That looks to continue well into the coming year, with many fascinating and emergent solutions bubbling to the surface.

Here are 10 emerging technologies everyone should be on the lookout for in 2021:

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In an intensely competitive economic climate, midmarket customers are caught in an especially challenging position right now. Faced with many of the same problems we see large enterprise customers grappling with -- mushrooming data demands, unpredictable business growth etc. -- but with smaller budgets and fewer personnel to overcome them. 

How can these customers compete against the big IT-spenders? Automation and analytics tools integrated with Artificial Intelligence (AI) and Machine Learning (ML) capabilities hold the answer -- helping to manage ever-growing storage demands more efficiently with fewer personnel, fewer resources and less human intervention.  

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Language AI is one of the most challenging areas of artificial intelligence, one where mainstream AI is far from coming near human-level performance, because it needs world knowledge to be solved (AI complete).

The shortcomings of modern machine learning approaches can be explained by the low efficiency of artificial neural networks. Because natural evolution is mainly driven by efficiency, I developed a strong interest for biologically inspired natural language understanding, hence the following book recommendations.

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"The impediment to action advances action. What stands in the way becomes the way." -- Famous Stoic and Roman emperor, Marcus Aurelius.

Some organizations have heavily invested in analytics and data scientist teams -- particularly in the manufacturing, retail, and automotive sectors. COVID-19 has disrupted their supply chains, and they find themselves needing to source answers in a day, not in the weeks they would have had to plan through changes last year. They must turn to experts on the front-lines of the business for action, and yet combine this expertise with the power of data scientists’ models to ensure they take optimal measures.

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Cybersecurity company Sophos is announcing four new open artificial intelligence developments with the aim of improving defenses and making the use of AI in cybersecurity more transparent.

Although in other industries it's become common to share AI methodologies and findings, cybersecurity has lagged which doesn't help understanding of how AI can protect against cyberthreats.

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In response to the economic impact of COVID-19 companies are turning to their investments in AI to deliver both short-term cost-cutting and long-term technology innovation to drive revenue and efficiency.

A report from ML operations and management software specialist Algorithmia finds that 83 percent of organizations have increased their budgets for AI/ML and that the average number of data scientists employed has increased 76 percent year-on-year.

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Technology is always changing. Whether it’s delivery apps taking off because of a global pandemic or video games incorporating virtual reality (VR), technology holds an immense amount of power.

As 2020 comes to a close, many are wondering what the next year holds. The following six emerging innovations are fields that will develop further throughout 2021.

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Security breaches and privacy violations can cost businesses dearly. not only in financial penalties but also by causing damage to their reputation.

Keeping tabs on your data and how it's used is an essential part of staying in control and it's an area where AI can help. We spoke to Amar Kanagaraj, founder and CEO of AI-powered data protection and data governance specialist oneDPO to find out more.

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COVID-19 has highlighted the need for change in the healthcare industry. When the pandemic eventually subsides, medical systems will emerge with the knowledge of where they need to improve. AI in healthcare can and will address many of these issues.

Medical AI is nothing new, with 89 percent of healthcare executives reporting that AI is already helping them. Now that healthcare improvement is a more prominent issue, the adoption of this tech will only increase. The post-COVID medical world will rely on these technologies. Here are five ways healthcare organizations will use AI to improve after the pandemic.

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Companies are planning to increase their spending on AI/ML as a result of the pandemic, and many have realized that those initiatives should have been a higher priority for their organizations all along.

A new survey of enterprise IT leaders from Algorithmia, a provider of ML operations and management solutions, shows that 91 percent of respondents were spending at least $1,000,000 annually on AI/ML prior to the pandemic, and 50 percent say they are planning to spend more than that going forward.

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