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Page 8 - வியன்னா பல்கலைக்கழகம் ஆஃப் தொழில்நுட்பம் News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Austrian regulators call for stricter crypto regulations amid rising fraud

Austrian regulators call for stricter crypto regulations amid rising fraud Crypto scams appear to be dominating investment fraud cases in Austria. 19890 Total views News Austrian regulators are calling for stricter crypto laws amid a spate of elaborate investment scams involving cryptocurrency and digital assets. According to a Bloomberg report of Friday, Austria’s Financial Market Authority has revealed that more than 60% of all reported financial fraud in the country involve crypto trading products. The FMA says these crypto scammers are using social media platforms like Telegram and TikTok to advertise their fraudulent offerings to would-be victims. Commenting on the need for stricter crypto regulations to curb the menace of these fraudulent investment activities, Klaus Grubelnik, a spokesperson for the FMA remarked:

Plasser & Theurer announces new rail grinding technology - Railway Track and Structures

Gateway partners with Libro to study Huron s food landscape

Article content Gateway Centre of Excellence in Rural Health has partnered with Libro Credit Union to explore how to stay local. Libro’s donation of $56,800 will be used to support the research project How to Stay Local – Exploring Huron County’s Food Landscape. We apologize, but this video has failed to load. Try refreshing your browser. Gateway partners with Libro to study Huron’s food landscape Back to video In reducing food insecurity and building a vibrant local food economy, Gateway and Libro will help raise residents’ awareness towards local food in Huron County, most notably the diversity and accessibility of local food.

Music streaming services are upping the ante on their track recommendations

Liquid machine-learning system adapts to changing conditions | MIT News | Massachusetts Institute of Technology

Credits: Image: Jose-Luis Olivares, MIT Previous image Next image MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed “liquid” networks, change their underlying equations to continuously adapt to new data inputs. The advance could aid decision making based on data streams that change over time, including those involved in medical diagnosis and autonomous driving. “This is a way forward for the future of robot control, natural language processing, video processing any form of time series data processing,” says Ramin Hasani, the study’s lead author. “The potential is really significant.”

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