Don't blindly trust what AI tells you, says Google's Sundar Pichai People should not blindly trust everything AI tools tell them, the boss of Google's parent company Alphabet told the BBC. In an exclusive interview, chief executive Sundar Pichai said that AI models are prone to errors and urged people to use them alongside other tools. Mr Pichai said it highlighted the importance of having a rich information ecosystem, rather than solely relying on AI technology. This is why people also use Google search, and we have other products that are more grounded in providing accurate information. While AI tools were helpful if you want to creatively write something, Mr Pichai said people have to learn to use these tools for what they're good at, and not blindly trust everything they say.

Like many nascent artistic movements, generative AI art has been widely criticized. But some artists are nevertheless pushing the creative limits of these new tools. In this era of AI slop, the idea that generative AI tools like Midjourney and Runway could be used to make art can seem absurd: What possible artistic value is there to be found in the likes of Shrimp Jesus and Ballerina Cappuccina? But amid all the muck, there are people using AI tools with real consideration and intent. Some of them are finding notable success as AI artists: They are gaining huge online followings, selling their work at auction, and even having it exhibited in galleries and museums. "Sometimes you need a camera, sometimes AI, and sometimes paint or pencil or any other medium," says Jacob Adler, a musician and composer who won the top prize at the generative video company Runway's third annual AI Film Festival for his work Total Pixel Space "It's just one tool that is added to the creator's toolbox."

The RSF is trying to show that they don't need to reach Port Sudan by land in order to be able to have an impact there,

Developing cars that can drive without a human is a unique challenge. There are many kinds of events that fully autonomous vehicles have to be prepared to handle in milliseconds, and mistakes can have serious consequences. Solving these problems requires innovation across a number of fields, such as AI and machine learning, advanced sensors, simulation software that can mimic real-world driving, and computing frameworks to evaluate the system's performance. In 2007, I joined the Urban Challenge that was run by the US Defense Advanced Research Project Agency (Darpa) to test and develop autonomous vehicles (AVs). I vividly remember the first moment our car, Junior, drove by itself in the parking lot using software I was working on just hours before.

Electrons and their behavior pose fascinating questions for quantum physicists, and recent innovations in sources, instruments and facilities allow researchers to potentially access even more of the information encoded in quantum materials. However, these research innovations are producing unprecedented--and until now, indecipherable--volumes of data. "The information content in a piece of material can quickly exceed the total information content in the Library of Congress, which is about 20 terabytes," said Eun-Ah Kim, professor of physics in the College of Arts and Sciences, who is at the forefront of both quantum materials research and harnessing the power of machine learning to analyze data from quantum material experiments. "The limited capacity of the traditional mode of analysis--largely manual--is quickly becoming the critical bottleneck," Kim said. A group led by Kim has successfully used a machine learning technique developed with Cornell computer scientists to analyze massive amounts of data from the quantum metal Cd2Re2O7, settling a debate about this particular material and setting the stage for future machine learning aided insight into new phases of mater.

'The show must go on,' an often heard sentence that makes absolute sense in the pandemic hit the world. Yes, it all became at the end of 2019 when Covid-19 was first reported in Wuhan. Later, the virus spread across the globe and pushed governments to impose strict lockdowns. An international sports event that was supposed to take place in 2020 got delayed and finally, when people started living with the virus in 2021, the IOC and Japan, the host country, came forward to go on with it. One of the most welcomed guests in the summer Tokyo Olympics is artificial intelligence.

The Dubai Silicon Oasis (DSO) in partnership with Intel has announced the launch of a new phase of the Intel Innovation Center in the integrated free zone technology park. The new phase will be hosted by Dubai Technology Entrepreneur Campus (Dtec), DSOA's wholly owned tech incubation center. Moreover, the Intel Innovation Center's new phase will directly be aligned with "Project Mustakbal", an Intel initiative that seeks to accelerate the Middle East's digital transformation. The Centre set to become a hub for future technological development in the region that will feature artificial intelligence (AI), Blockchain, Video analytics and Autonomous Driving. Muammar Al Katheeri, Executive Vice President of Engineering and Smart City at DSOA, said in a statement, "Four years ago, we launched with Intel the region's first Internet of Things (IoT) ignition lab that has already added significant value to tech start-ups and entrepreneurs in the UAE. Today we celebrate our partnership with Intel as we step forward together into a new milestone through the inauguration of the Intel Innovation Center that has found an ideal home at DSO. With its dynamic mix of business partners and boasting an environment that fosters the entrepreneurial spirit, DSO continues to push the boundaries of technological innovation."

The last decade was a big one for artificial intelligence but researchers in the field believe that the industry is about to enter a new phase. Hype surrounding AI has peaked and troughed over the years as the abilities of the technology get overestimated and then re-evaluated. The peaks are known as AI summers, and the troughs AI winters. The 10s were arguably the hottest AI summer on record with tech giants repeatedly touting AI's abilities. AI pioneer Yoshua Bengio, sometimes called one of the "godfathers of AI", told the BBC that AI's abilities were somewhat overhyped in the 10s by certain companies with an interest in doing so.

As we look back, we observe that the last decade has been a great phase for AI and its researchers. This was the time where we saw AI in a more dynamic and evolutionary role, be it in professional or personal lives. However, in a report by BBC, it has been noted that "hype surrounding AI has peaked and troughed over the years as the abilities of the technology get overestimated and then re-evaluated. Where the peaks are known as AI summers, the troughs are termed as AI winter." According to the report, the 10s were arguably the hottest AI summer on record with tech giants repeatedly touting AI's abilities.

The last decade was a big one for artificial intelligence but researchers in the field believe that the industry is about to enter a new phase. Hype surrounding AI has peaked and troughed over the years as the abilities of the technology get overestimated and then re-evaluated. The peaks are known as AI summers, and the troughs AI winters. The 10s were arguably the hottest AI summer on record with tech giants repeatedly touting AI's abilities. AI pioneer Yoshua Bengio, sometimes called one of the "godfathers of AI", told the BBC that AI's abilities were somewhat overhyped in the 10s by certain companies with an interest in doing so.