It's a question that regularly comes up after a few drinks in the pub: what's the biggest animal you think you could beat in a fight? While many people have conservative answers, others reckon they could take on huge creatures. To settle the debate once and for all, MailOnline turned to everyone's favourite AI bot, ChatGPT. The bot claims that a'well-prepared' person would stand a chance against large dog, a wild boar, or even a leopard. However, it adds that'attempting to fight any animal is highly risky and not advisable.'

Google parent Alphabet's subsidiary DeepMind AI has been developing various kinds of machine learning and AI systems that can perform complicated tasks. Now, the company has unveiled a new AI code-generation system called "AlphaCode," which reached a competitive level of performance in programming competitions for the first time. Seemingly, it is at par with an average human coder and could potentially take away your job in the future! It is revealed that AlphaCode can write computer programs at a competitive level, which is a first for an AI-based code-generation model. The company tested the AI's abilities using competitions hosted on Codeforces. Ten contests (newer for AlphaCode's skills) were selected and as a result, the AI was able to surpass a median competitor.

Strategic Wealth Partners investment strategist Luke Lloyd explains why he'll never personally invest in Tesla stock. Tesla unveiled new images on Sunday of its in-house supercomputer, which will be used to help power the electric vehicle maker's autopilot and full self-driving (FSD) capabilities. Tesla's supercomputer is currently being used and further developed by the company to train neural networks, which are computer systems used to process vast amounts of data. Tesla uses the neural networks to label 4D data that comes from videos taken through eight onboard cameras that make up its vehicle's Vision system. That data is then used to train Tesla's software to autonomously navigate the car using only radar and the cameras.

This will allow you to get the gist of what's going on with minimal time commitment. By this point, learners would understand their interest levels. Continue with content focused on applying relevant knowledge as fast as possible. If you've made it through the last section and are still hungry for more knowledge, move on to broadening your horizons. Read content focused on teaching the breadth of machine learning -- building an intuition for what the algorithms are trying to accomplish (whether visual or mathematically). By this point, you will already have AWS running instances, a mathematical foundation, and an overarching view of machine learning. This is your jumping-off point to determine what you want to do. You should be able to determine your next step based on your interest, whether it's entering Kaggle competitions; doing Fast.ai part two; diving deep into the mathematics with Pattern Recognition & Machine Learning by Christopher Bishop; giving Andrew Ng's newer Deeplearning.ai

Robots will be 100 times more intelligent than the average human in 30 years, the CEO of tech giant SoftBank has claimed. Billionaire tech mogul Masayoshi Son, 60, said that by 2047 artificial intelligence (AI) will have reached an IQ of 10,000. By comparison, the average human IQ is 100, while anything over 140 is a'genius' score. Mensa, the'high IQ society', only accepts members with a score above 130. Speaking at the Future Investment Initiative in Riyadh, Saudi Arabia, on Wednesday, Mr Son said: 'This is the first time ... the tool becomes smarter than ourselves.'

I've written a few times that perhaps the biggest unsolved problem in robocars is how to know we have made them safe enough. While most people think of that in terms of government certification, the truth is that the teams building the cars are very focused on this, and know more about it than any regulator, but they still don't know enough. The challenge is going to be convincing your board of directors that the car is safe enough to release, for if it is not, it could ruin the company that releases it, at least if it's a big company with a reputation. We don't even have a good definition of what "safe enough" is though most people are roughly taking that as "a safety record superior to the average human." Some think it should be much more, few think it should be less.