The EU Commission proposed back in June 2021 to amend eIDAS. Here also a webinar that introduces the topic.

When it comes to forecasting the elements, many seem ready to welcome the machine. But humans still outperform the algorithms -- especially in bad conditions.

China's Covid-19 health code system that strictly governs people's movements crashed in Xi'an this week, worsening conditions in the locked-down city where the country's worst outbreak since Wuhan has been unfolding. The crash has complicated efforts to weed out cases through mass testing, created hurdles for people seeking care at hospitals and led to the suspension of a top official, the latest among a slew of bureaucrats to be punished as Beijing fumes over the situation.

Big Blue wants out of health care, after spending billions to stake its claim, just as rival Oracle is moving big into the sector via its $28 billion bet for Cerner. IBM spent more than $4 billion to build Watson Health via a series of acquisitions. The business now includes health care data and analytics business Truven Health Analytics, population health company Phytel, and medical imaging business Merge Healthcare. IBM first explored a sale of the division in early 2021, with Morgan Stanley leading the process. WSJ reported at the time that the unit was generating roughly $1 billion in annual revenue, but was unprofitable. Sources say it continues to lose money.

In 1970, Marvin Minsky, recipient of the Turing Award ("the Nobel Prize of Computing"), predicted that within "three to eight years we will have a machine with the general intelligence of an average human being." Fifty-two years later, we're still waiting. The fundamental roadblock is that, although computer algorithms are really, really good at identifying statistical patterns, they have no way of knowing what these patterns mean because they are confined to MathWorld and never experience the real world.