We hope you enjoy this week's hand-picked selection of important and interesting stories from the frontiers of tech.
Portfolio ⇨ Qatalog launches world’s first AI software builder
Qatalog 2.0 is powered by QatalogAI, the world’s first generative AI that can design and build bespoke software instantly, using Qatalog’s infrastructure. The system understands the needs of any organization, no matter the industry. In less than a minute, customers can go from briefly describing their business to using their bespoke Work Hub, which centralizes all of their people, processes, and knowledge. (Qatalog) (VentureBeat)
Portfolio ⇨ Space Software provider Antaris announces launch readiness of world's first cloud-built demonstration satellite
"Satellite development has historically been slow and extremely costly because of proprietary hardware and software, excessive vertical integration and outdated interfaces, APIs and protocols. Antaris has changed all that. Our cloud-based platform has enabled constellation sponsors, satellite designers, component providers and manufacturers from across the globe to come together seamlessly and collaborate to get a satellite ready for launch in just months, not years, from start to finish. Nothing like this has ever been done before." (read)
Space ⇨ NASA confirms NEO Surveyor for 2028 launch
NEO Surveyor will fly a telescope half a meter in diameter equipped with an infrared camera. Operating from the Earth-sun L-1 Lagrange point, 1.5 million kilometers away from the Earth in the direction of the sun, the spacecraft will be able to scan large regions of space to look for NEOs, including those that could be pose future impact risks to the Earth. (read)
AI ⇨ The brief history of artificial intelligence: The world has changed fast – what might be next?
All AI systems that rely on machine learning need to be trained, and in these systems training computation is one of the three fundamental factors that are driving the capabilities of the system. The other two factors are the algorithms and the input data used for the training. The visualization shows that as training computation has increased, AI systems have become more and more powerful.
The training computation is plotted on a logarithmic scale, so that from each grid-line to the next it shows a 100-fold increase. This long-run perspective shows a continuous increase. For the first six decades, training computation increased in line with Moore’s Law, doubling roughly every 20 months. Since about 2010 this exponential growth has sped up further, to a doubling time of just about 6 months. That is an astonishingly fast rate of growth.8 (read)
Web3 ⇨ Towards Digital Self-Sovereignty: The Web3 Identity Stack
Nichonan Kesonpat covers core concepts in decentralized identity, the evolution of identity on the internet, a layer-by-layer overview of the web3 identity infrastructure stack, and related developments in privacy primitives. (read)
Interesting adjacencies:
ICYMI: Emad Mostaque is democratizing artificial intelligence (link)
Towards Digital Self-Sovereignty: The Web3 Identity Stack (link)
The State of European Tech 2022 (link)
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