It's an ordinary day in the northern German city of Hamburg, where countless cars move along the streets and pedestrians cross at the intersections. This isn't some risky stunt but rather the final tests of technology designed by the European-Union funded L3Pilot project. In it, the researchers developed and tried out electronics for self-driving cars on urban roads and highways. 'It's very important to test automated vehicles under real-world conditions,' said Aria Etemad, who coordinated L3Pilot and is a researcher at German automaker Volkswagen. 'Letting them drive around in artificial environments is not enough.

AMP Robotics uses automation and artificial intelligence (AI) to sort materials within waste streams. We asked CEO Matanya Horowitz how this works, how data can be utilised and the ways automated sorting could impact the packaging industry. AMP Robotics developed an AI platform (AMP Neuron) to distinguish recyclable materials from waste. How did you come up with the idea? Ever since I was a child I've been interested in robotics and the origins of intelligence.

Abstract: Optimizing functions without access to gradients is the remit of black-box methods such as evolution strategies. While highly general, their learning dynamics are often times heuristic and inflexible -- exactly the limitations that meta-learning can address. Hence, we propose to discover effective update rules for evolution strategies via meta-learning. Concretely, our approach employs a search strategy parametrized by a self-attention-based architecture, which guarantees the update rule is invariant to the ordering of the candidate solutions. We show that meta-evolving this system on a small set of representative low-dimensional analytic optimization problems is sufficient to discover new evolution strategies capable of generalizing to unseen optimization problems, population sizes and optimization horizons. Furthermore, the same learned evolution strategy can outperform established neuroevolution baselines on supervised and continuous control tasks.

The launch of ChatGPT and GPT 3.5 (Generative Progressive Transformer-3.5) -- which many claim will herald a new era in dialogue-based conversational AI -- has ended the year on a high for conversational AI. People are using ChatGPT for tasks ranging from correcting code errors to rewriting the Bohemian Rhapsody and the number of ChatGPT users surpassed the million mark in less than a week last month. While 2022 was about newer and more advanced tools and models, commercial use cases, regulation, and standardisation of AI are expected to define 2023 for this domain. Here's what to expect from the AI industry in 2023. Generative AI, which is artificial intelligence that can create text, images, videos etc. without supervision, set the tone for this year and the trend will spill on to 2023 as well.

You've heard of Elon Musk. You've heard of animals dying. Now get ready to combine the two in today's godawful story: Animals maybe dying because of Elon Musk. Reuters reports that Musk's medical tech company Neuralink is currently being investigated by the U.S. government after potentially violating animal welfare laws. Animals are allegedly suffering and dying in Neuralink's labs on a greater scale than necessary due to Musk's push to hasten development -- and in many cases the deaths don't even provide valuable research data.

Spain take on Morocco in the round-of-16 match at the World Cup 2022 on Tuesday. Kashef, our artificial intelligence (AI) robot, has analysed more than 200 metrics, including the number of wins, goals scored and FIFA rankings, from matches played over the past century to see who is most likely to win. Prediction: Spain head into today's clash with the Atlas Lions as strong favourites but will nevertheless need to produce a much-improved performance from the defeat to Japan in their last outing. Morocco, the last remaining Arab team, is yet to lose a match during the tournament and finished top of Group F ahead of Croatia and Belgium. Looking at all the data, Kashef predicts a 69 percent chance that the 2010 World Cup winners Spain will win and take on Portugal in the quarter-finals on December 10.

The last round-of-16 match at the World Cup 2022 will pit ninth-ranked Portugal against 15th-ranked Switzerland. Kashef, our artificial intelligence (AI) robot, has analysed more than 200 metrics, including the number of wins, goals scored and FIFA rankings, from matches played over the past century to see who is most likely to win today. Prediction: Portugal and Switzerland are fairly evenly matched. The two European teams have already faced each other twice this year in the Nations League, winning one game apiece. Portugal topped their group, scoring six goals across three matches.

There is a pre-trained machine learning model that can be used to help moderate written content on websites. This model can be used to check for different types of unwanted content, including identity attacks, insults, and obscenity. To use the model on a website, you need to install the required TensorFlow.js dependencies, load the model, and then run the prediction. You can then add a call to the checkContent function in the saveMessage function to check the content of messages before they are written to the database. You can view the completed example code here.

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. So you've developed a Future of Work (FoW) strategy that covers all the bases: An array of factors such as trends in business practices and workplace transformation. But as solid as your current plan may be, you likely forgot about one element of work that requires more than just a written plan to fight against it: Attention. Technology is one of the major players in the concept of FoW, as it is the future. But when it begins to interfere with the success and results of what's being produced, we must question if we'll ever find a perfect balance.

What's happening: Users are telling ChatGPT to rewrite literary classics in new styles or to produce performance reviews of their colleagues, and the results can be scarily good. Why it matters: ChatGPT displays AI's power and fun. It could also make life difficult for everyone -- as teachers and bosses try to figure out who did the work and all of society struggles even harder to discern truth from fiction. Driving the news: Last week's public release of ChatGPT came from OpenAI, which had previously set benchmarks in this field with GPT3 and its predecessors. Yes, but: The high quality of ChatGPT's responses adds to the fun, but also highlights the risks associated with AI. Between the lines: ChatGPT, like other text generators, also creates problems when it gets things right.