AI Super-Powers (Kai-Fu Lee, 2018)

“[…] As artificial intelligence filters into the broader economy, this era will reward the ‘quantity’ of solid AI engineers over the ‘quality’ of elite researchers. Real economic strength in the age of AI implementation won’t come just from a handful of elite scientists who push the boundaries of research. It will come from an army of well-trained engineers who team up with entrepreneurs to turn those discoveries into game-changing companies. China is training just such an army. In the two decades since my lecture in Hefei, China’s artificial intelligence community has largely closed the gap with the United States. While America still dominates when it comes to superstar researchers, Chinese companies and research institutions have filled their ranks with the kind of well-trained engineers that can power this era of AI deployment” (Kai-Fu Lee, 2018, 83)

Automation (Danner 2018)

“Self-driving trucks is not a one-and-done process. Like all automation of critical systems, especially those where human safety is involved, will develop in degrees. One of the first models of self-driving trucks is the so-called platooning system. In platooning a lead truck is manned by a human driver. Behind the driver a train of between four and six driverless trucks follows closely, perhaps within a few feet, all of which are coordinated in real time using a wireless network. Platooning not only cuts down on drivers per unit load delivered, but also reduces traffic congestion because of the tight spacing. It also allows the train of follower trucks to ride on the air draft effect from the lead truck, resulting in considerable fuel savings. It has been said that platooning trains could bring trucks competitive dollar-for-dollar with railroads, which would be an incredible feat. The next model to emerge might also be the Bar Pilot model. Since high-way travel is relatively safer and more controllable than local roads, the self-driving truck handles the long haul portion of the journey, while human drivers navigate the truck for the first and last miles of the journey, enabling one human driver to spread across many different deliveries” (Danner, Automation, 2018:17)

Il mio 2018 raccontato con poche immagini in ordine sparso

In chiusura d’anno, il mio 2018 raccontato con poche immagini in ordine sparso. La pubblicazione e il lancio internazionale del mio saggio con traduzione in inglese di Derrick De Kerckhove per Bocconi University Press; il primo intervento e l’inizio della collaborazione su temi di filosofia e innovazione con Nova24 Il Sole 24 Ore; l’avvio di Forge, il laboratorio philtech a supporto strategico delle imprese nato dal successo del mio libro Il Mondo Dato; l’articolo provocatorio su Harvard Business Review di dicembre relativo ai modelli di business di imprese e piattaforme; l’invito di Aspen Institute a partecipare e contribuire ai Seminars for Leaders sulla digital transformation del nostro paese; il keynote speech al Forum Think di Ambrosetti The European House e GroupM. E tra le molte altre cose sfidanti fatte e in fieri tra Stati Uniti e Italia, nascosta nelle pieghe di quest’anno, anche la ricerca e la scrittura del nuovo saggio in arrivo nel 2019. Un grazie di cuore per il supporto e buon nuovo anno a tutte e a tutti!

The Deep Learning Revolution (2018)

“Are you the devil? gli chiese con insistenza Terry Sejnowski. “Yes, I’m the devil” sbottò infastidito alla fine Marvin Minsky. La lunga storia della rivoluzione del deep learning e dello scontro sugli approcci all’intelligenza artificiale nel racconto vivido di uno dei suoi padri fondatori (The Deep Learning Revolution, MIT Press, 2018).

Blockchains Interoperability

In this paper, authors “discuss a design philosophy for interoperable blockchain systems, using the design philosophy of the Internet architecture as the basis to identify key design principles. Several interoperability challenges are discussed in the context of cross-domain transactions”  (“Towards a Design Philosophy for Interoperable Blockchain Systems” by Thomas Hardjono, Alexander Lipton, Alex “Sandy” Pentland, MIT Connection Science, 2018; image and link to paper >>   https://arxiv.org/pdf/1805.05934.pdf