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AI's False Reality: Understanding Hallucination

Artificial Intelligence (AI) has leapfrogged to the poster child of technological innovation, on track to transform industries in a scale similar to the Industrial Revolution of the 1800s. But in this case, as cutting-edge technology, AI presents its own unique challenge, exploiting our human behavior of "love to trust", we as humans face a challenge: AI hallucinations. This phenomenon, where AI models generate outputs that are factually incorrect, misleading, or entirely fabricated, raises complex questions about the reliability and trust of AI models and larger systems. The tendency for AI to hallucinate comes from several interrelated factors. Overfitting – a condition where models become overly specialized to their training data – can lead to confident but wildly inaccurate responses when presented with novel scenarios (Guo et al., 2017). Moreover, biases embedded within datasets shape the models' understanding of the world; if these datasets are flawed or unreprese...

Next Internet comes with IoT

The Internet we know is a great space for collaboration, social media and gaming. But when it comes to business or transactions, the power belongs to few big ones. Remember the S3 outage and half of the north-american services where offline? Or the Dny hack which kicked out half of the internet for hours? The next internet could be a blockchain based independent network, using as many protocols as available and there is no one person in control of it and it is run on the Internet. In a nutshell, Blockchain is a decentralized system in which every transaction gets mathematically approved by the members of the system, therefore every member of that transaction knows about it. The information of the transaction is stored in the distributed servers of the blockchain. That makes manipulations highly impossible, and the transaction is also highly available at every time. IoT devices are getting more and more intelligent and can now create meshed networks by itself, switching from a sensor ...

The Machine and BigData

HP’s „The Machine“ (1) project is in my eyes the most advanced in the IT world with the simple goal to rethink the entire computer design. And the plan is ambitious – the first edge devices shall be ready in 2018, industrialized series in 2020. Will “The Machine” really revolutionize an entire industry mostly influenced by IBM? Let’s say it could and probably will with a high percentage of success. Based on the idea of Memristor (2) the project uses memory based technology to store data. Nothing new here. New is the non-volatile usage. Data, stored in an Memristor, persists unless the storing bit gets cleaned and new aligned. Now, NVRRAM (non-volatile resistive RAM) it’s faster as volatile DDR4 modules (which they use at the moment until Western Digital can deliver NVRRAM modules) and factor 100x faster than current state-of-the-art SSD based technologies. The newest prototype has 40 nodes with approx. 160 TB DDR4-RAM and 1,280 Cores connected with X1 PM’s (Photonic Modules). Means...

The Machine und BigData

HP's Projekt " The Machine " verfolge ich nun schon seit der ersten Veröffentlichung. Bis 2020 soll das Projekt industriereif, ab 2018 sollen erste Edge Devices verfügbar sein. Ob es die Welt der Informatik revolutioniert, bleibt abzuwarten. Extrem interessant ist der Ansatz von HP auf jeden Fall, vor allem im Hinblick auf BigData und die weitere Industrialisierung analytischer Ansätze. Genutzt wird die Memristor-Technologie ( http://en.wikipedia.org/wiki/Memristor ). Ein Memristor ist nicht flüchtig, bisher langsamer als DRAM, aber bis zu 100 mal schneller als Flash. Und es kann in relativ kleinen Rackfarmen extrem viel Speicherplatz bereitgestellt werden (4TB haben derzeit den 3.5 Zoll Formfaktor, es könnten aber auch bis zu 100TB per 3.5 Zoll machbar sein). Das grundlegend neue dabei ist – ein Memristor kann bis zu 10 Zustände speichern (Trinity Memristor). Hierbei wird der Integer auf Basis von 10 berechnet, was im Gegensatz zur herkömmlichen Basis von 8 (64Bit) ...