Not so long ago, searching for information could lead to a library to scan endless volumes or even tediously sift through microfilm. Clearly, technology is making the world a better place. Scientists, researchers, developers and companies have been on a quest to solve some of the world's most pressing problems. Only now they're accelerating their efforts by putting NVIDIA GPU-driven AI to work. And the benefits can be seen across critical global issues such as COVID-19 and climate change, to education and employment.

Today, Mozilla and the German Ministry for Economic Cooperation and Development (BMZ) have announced to join forces in the collection of open speech data in local languages, as well as the development of local innovation ecosystems for voice-enabled products and technologies. The initiative builds on the pilot project, which our Open Innovation team and the Machine Learning Group started together with the organization "Digital Umuganda" earlier this year. The Rwandan start-up collects language data in Kinyarwanda, an African language spoken by over 12 million people. Further languages in Africa and Asia are going to be added. Mozilla's projects Common Voice and Deep Speech will be the heart of the joint initiative, which aims at collecting diverse voice data and opening up a common, public database.

"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.

Hal Abelson, an MIT computer scientist, talks to senior policymakers from countries in the Organization for Economic Cooperation and Development. Hal Abelson, an MIT computer scientist, talks to senior policymakers from countries in the Organization for Economic Cooperation and Development. Hal Abelson, an MIT computer scientist, talks to senior policymakers from countries in the Organization for Economic Cooperation and Development. Hal Abelson, an MIT computer scientist, talks to senior policymakers from countries in the Organization for Economic Cooperation and Development. The subject was artificial intelligence, and his students last week were mainly senior policymakers from countries in the 36-nation Organization for Economic Cooperation and Development.

Hal Abelson, a renowned computer scientist at the Massachusetts Institute of Technology, was working the classroom, coffee cup in hand, pacing back and forth. The subject was artificial intelligence, and his students last week were mainly senior policymakers from countries in the 36-nation Organization for Economic Cooperation and Development. Mr. Abelson began with a brisk history of machine learning, starting in the 1950s. Next came a description of how the technology works, a hands-on project using computer-vision models and then case studies. The goal was to give the policymakers from countries like France, Japan and Sweden a sense of the technology's strengths and weaknesses, emphasizing the crucial role of human choices.

Fifty years ago this month, in the midst of the Cold War, nations began signing an international treaty to stop the spread of nuclear weapons. Today, as artificial intelligence and machine learning reshape every aspect of our lives, the world confronts a challenge of similar magnitude and it needs a similar response. There is a danger in pushing the parallel between nuclear weapons and AI too far. But the greater risk lies in ignoring the consequences of unleashing technologies whose goals are neither predictable nor aligned with our values. The immediate prelude to the Treaty on Non-Proliferation of Nuclear Weapons was the Cuban missile crisis in 1962.

Lawmakers in Hawaii have voted to explore the idea of a universal basic income to guarantee wages to servers, cooks and cleaners whose jobs may be replaced by machines. The decision was made after research found the majority of tourism jobs will be replaced by robots. As technological innovations displace people's jobs, retraining for many affected workers may be impossible. An official in San Francisco also wants to implement a statewide'tax' on robots that automate jobs and put people out of work. The idea of compensating workers has gained support in progressive areas of the country, including Hawaii and San Francisco. A report last year from the Organization for Economic Cooperation and Development concluded that 9 per cent of jobs in the United States - or about 13 million - could be automated.