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Category: robotics/AI – Page 1,347

Apple’s self-driving car debut pushed back and may be less advanced

The car will allegedly have less ambitious self-driving capabilities initially and it’s debut date has been pushed back to 2026.

Apple’s ambitious electric vehicle (EV) will allegedly have fewer self-driving capabilities for its launch date, the latter of which has been pushed back by a year, from 2025 to 2026, according to a Bloomberg.

The car is still in the pipeline and is reported to be set up with more conventional car features and designs than other autonomous EVs.

Just_Super/iStock.

The company’s ambitious self-driving car plans seem to chop and change at a whim but at least it’ll cost under $100,000 when it’s finally on the market.

ChatGPT; 8 coolest ways to use OpenAI’s viral application

The application has registered one million plus downloads since its launch.

Inquiries for OpenAI’s ChatGPT, a dialogue-based AI chatbot, are going through the roof. The rising interest in the application can be attributed to some of its entertaining responses to users’ queries, which has lately created a storm on Twitter.

ChatGPT is not your typical chatbot featured in every customer service portal corner.

NurPhoto/Getty.

The new offering by the California-based firm has already crossed one million users in a short period. Open AI had recently succeeded with DALL-E 2, an AI system that creates realistic images from user prompts in natural language.

Europe’s fastest supercomputer just connected to a quantum computer in Finland — here’s why

The merged computing power can give rise to faster and more accurate machine learning applications.

Last month, LUMI, the fastest supercomputer in Europe, was connected to HELMI, Finland’s first quantum computer, a five-qubit system operational since 2021. This makes Finland the first country in Europe to have created such a hybrid system — it is one of the few countries worldwide to have done the same.

LUMI is famous — the supercomputer ranks third in the latest Top 500 list of the world’s fastest supercomputer and can carry out 309 petaflops. LUMI, too became operational in 2021.

VTT Technical Research Centre of Finland worked with CSC and Aalto University, within the Finnish Quantum Computing Infrastructure framework, to make the connection between the computers, according to a release.

Canva Opens Up Access To Docs In Beta, Adds “Magic Write” Generative AI Copywriting Tools

Canva launched Canva Docs in an open beta today, a cloud-based hybrid of a word processor and publishing tool. In addition, Canva Docs will be adding “Magic Write,” a generative AI copywriting tool.

Interested users can check out the beta here.

Canva’s latest move aims to diversify the company beyond graphic design and into other areas of marketing and communications. The company added Whiteboards in August, which some have compared to Miro. The Canva tool can also be used to create presentations and edit video.

Sony says it has the technology to make humanoid robots but is still determining for what purpose

It seems that Sony is about to take place in the humanoid robot race.

On Tuesday, Sony Group Corporation, the famous Japanese electronics and media conglomerate, claimed that once it determines the best applications for humanoid robots, it can produce them swiftly. For those waiting for “real” humanoid robots for decades, such news will be a treat for their ears.

“In terms of technology, several companies in the world including this one have enough technology accumulated to make them swiftly once it becomes clear which usage is promising,” Sony Chief Technology Officer Hiroaki Kitano told Reuters in an interview.

Reconfigurable Compute-In-Memory on Field-Programmable Ferroelectric Diodes

The deluge of sensors and data generating devices has driven a paradigm shift in modern computing from arithmetic-logic centric to data-centric processing. Data-centric processing require innovations at the device level to enable novel compute-in-memory (CIM) operations. A key challenge in the construction of CIM architectures is the conflicting trade-off between the performance and their flexibility for various essential data operations. Here, we present a transistor-free CIM architecture that permits storage, search, and neural network operations on sub-50 nm thick Aluminum Scandium Nitride ferroelectric diodes (FeDs). Our circuit designs and devices can be directly integrated on top of Silicon microprocessors in a scalable process. By leveraging the field-programmability, nonvolatility, and nonlinearity of FeDs, search operations are demonstrated with a cell footprint 0.12 μm2 when p.

Robots Will Replace These Workers By 2025

This post is also available in: he עברית (Hebrew)

How soon will we be seeing robots walking about the street? How soon will robots join medical staff in hospitals and aid real people in life or death situations? How soon will robots replace health staff? The World Health Organization (WHO) estimates that we will see a global shortfall of 12 million health workers by 2025.

From lifting patients and delivering lab samples, to cleaning and providing companionship, care robots can help with a range of tasks across a hospital or care setting. With nurses spending up to a third of their shift on menial tasks such as collecting equipment, the expectation is that care robots will be able to take ownership of these more mundane jobs, letting health staff focus on more important tasks.

The world’s first fully automated parking system has been approved for public use in Germany

The system, with Level 4 autonomy, is in use at Stuttgart Airport for Mercedes cars and marks the start of a rollout of hundreds of systems in Germany.

The driverless parking system allows users to drop their Mercedes S-Class or EQS electric car at a drop off point after notifying an app. The system then checks that the route to a specific parking spot is clear and drives the vehicle autonomously to the correct location, wherever that might be in the parking garage.

Latest AI Research Finds a Simple Self-Supervised Pruning Metric That Enables Them to Discard 20% of ImageNet Without Sacrificing Performance, Beating Neural Scaling Laws via Data Pruning

Applying neural scaling laws to machine learning models, which means increasing the number of computations, the size of the model, and the number of training data points, can reduce errors and improve model performance. Since we have a lot of computing power available and collecting more data is easier than ever before, we should be able to reduce the test error to a very small value, right?

Here is a catch, this methodology is far from ideal. Even though we have enough computational power, the benefits of scaling are fairly weak and unsustainable due to the huge additional computational costs. For example, dropping the error from 3.4% to 2.8% might require an order of magnitude of more data, computation, or energy. So what can be a solution?

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