Dataconomy News

Microsoft blocks macros by default but cybercriminals are adopting new tactics
The use of malicious macros by cybercriminal groups has decreased by an astounding 66 percent since last October, according to research released by Proofpoint on July 28. This may be one of history’s biggest shifts in the email threat landscape. The change is mostly a result of Microsoft’s decision to

The environmental impact of AI makes regulations vital for a sustainable future
The debate about the necessity for regulation of computing-intensive apps and the chips that power them is being sparked by worries about the environmental impact of AI. The Stanford Institute for Human-Centered Artificial Intelligence and the Stanford Woods Institute for the Environment held the Advancing Technology for a Sustainable Planet

The No More Ransom project rescued more than a million digital lives from ransomware gangs
The No More Ransom project has announced that six years after its establishment, it has assisted more than 1.5 million individuals in successfully decrypting their locked devices and regaining access to their data without paying a ransom. No More Ransom was launched 6 years ago No More Ransom was launched

Data science conquers the customer journey and sales funnel
Data science is crucial for marketing, and Konnecto uses different instruments to analyze consumer behavior. Suggesting COVID-19 has permanently changed consumer attitudes and habits would be an understatement. A startling 67 percent of consumers claim that since the pandemic began, their online spending has increased. Additionally, there were 900 million

Here is your own personal Salvador Dali, thanks to DALL-E 2 AI
DALL·E 2 is an artificial intelligence program that creates artistic and lifelike images by using descriptions in natural language. It is built on GPT-3, which has 175 billion parameters, and pairs of text and images. The beta version of DALL·E 2 has been released by OpenAI recently and its accuracy,

Deep learning can be used to detect DNS amplification attacks
Researchers from Citadel developed a deep learning method to generate DNS amplification attacks. Deep learning algorithms have lately been shown to be quite effective at identifying and preventing cybersecurity assaults. Various deep learning techniques, such as those used for image classification and natural language processing, have been the target of

AI-based MARL method improves cooperation between teams of robots
Researchers from the University of Illinois at Urbana-Champaign began with this more challenging task. They created a technique using multi-agent reinforcement learning (MARL), a form of artificial intelligence, to teach many agents to cooperate. Individual agents, such as robots or drones, can cooperate and finish a task when communication channels

Using data to bring down healthcare costs
The healthcare industry is complicated and fragmented, frequently with a lack of coordination or mismatched incentives that results in an inefficient allocation of resources. The results of patients, expenses, and the effectiveness of therapies are all negatively impacted by fragmentation. Data can be utilized to improve fragmented system and lower
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