The joys of technology.
Showdown at the Second Circuit on the Standards Protecting Online Anonymity
Paul Alan Levy writes about a case we should all be following:
An important case about anonymous online speech is hurtling toward a decision in the Second Circuit. The situation is worrisome because defendants are so unsympathetic and the plaintiff’s legal claims seem to me very strong. The danger is that the trial judge’s dismissive treatment of the right to speak anonymously could be addressed in a way that has serious implications for more legitimate speakers.
Everytown for Gun Safety Sues Gun Rights Activists for Trademark Infringement
The case arises from a dispute between advocates of broad access to firearms through the device of 3D printing of guns and the gun-safety policy group Everytown for Gun Safety Action Fund, as well as its subsidiary Moms Demand Action. The groups strongly oppose the 3D printing of guns, which they see as a serious threat to safety and as an evasion of sensible gun regulation.
Read more on Public Citizen.
An objective evaluation of AI in other fields (law, health) could be very useful.
Lloyd’s Register launches industry-first Artificial Intelligence Register.
Lloyd’s Register (LR) has launched an Artificial Intelligence (AI) Register, a standardised digital register of LR certified AI providers and solutions, a first of its kind for the maritime industry.
AI technology, the engineered systems that have hardware and software elements that mimic human capacity for observing, understanding and decision-making, is continuing to grow in maritime with applications ranging from digital twins, virtual commissioning and autonomous navigation systems. To support this uptake in technology, LR’s AI Register has been developed to signpost proven and reliable AI technology to help maritime stakeholders benefit from the latest applications.
Tools & Techniques.
Take Stanford's Natural Language Processing with Deep Learning For Free
The content of CS224n Natural Language Processing with Deep Learning, a graduate level, one-semester course originally provided to Stanford University Computer Science students, has been made available for free to anyone in a self-paced version.
… In the free version, however, you get access to the course's resources and the full YouTube playlist of the recorded lectures without those limitations. That way you get a taste of what it would have been like taking the class as a Stanford student. Especially comforting when you consider that for attending there's a fee of $4,056 - $5,408.
CS224n: Natural Language Processing with Deep Learning
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