New Delhi, Sep 14: Finance Minister Nirmala Sitharaman on Wednesday lauded the efforts of the Central Board of Indirect Tax and Customs (CBIC) and underlined the need for training Personnel for better utilisation of Artificial Intelligence and data analytics. "You keep doing good work, generating revenues, you are noticed for it, Prime Minister made a special appreciative mention recently on level of GST revenues," she said while inaugurating'Kendriya GST Parisar', the housing complex for CGST officers of Mumbai zone in Kharghar, Navi Mumbai. The Finance Minister also spoke about the need for training CBIC officials for better utilisation of Artificial Intelligence, data-analytics, IoT and other technologies to identify fraudulent practices, such as detection of tax evasion. She was also appreciative of the Central Intelligence Unit team of CGST Mumbai Zone for fantastic data analysis and mining tools used for large scale tax evasion resulting in big recovery and booking of offenders. She also lauded the effort of the department to take care of future needs and development required for the second phase for welfare of officers and staff.

When a demo of the software was released in late August, users quickly found that certain words--both explicit mentions of political leaders' names and words that are potentially controversial only in political contexts--were labeled as "sensitive" and blocked from generating any result. China's sophisticated system of online censorship, it seems, has extended to the latest trend in AI. It's not rare for similar AIs to limit users from generating certain types of content. DALL-E 2 prohibits sexual content, faces of public figures, or medical treatment images. The ERNIE-ViLG model is part of Wenxin, a large-scale project in natural-language processing from China's leading AI company, Baidu.

Cryptographic algorithms are what keep us safe online, protecting our privacy and securing the transfer of information. But many experts fear that quantum computers could one day break these algorithms, leaving us open to attack from hackers and fraudsters. And those quantum computers may be ready sooner than many people think. That's why there is serious work underway to design new types of algorithms that are resistant to even the most powerful quantum computer we can imagine. Read our emerging journalist fellow Tammy Xu's full story on how quantum-resistant algorithms are being developed--and what comes next.

Tehran, Iran – The United Kingdom's defence ministry has backed a Ukrainian claim that Ukraine's forces likely shot down an Iranian-made drone that was used by Russia in its offensive against its neighbouring country. In its latest military intelligence update on Wednesday, the ministry said it was "highly likely" that Russia has deployed unmanned aerial vehicles (UAV) made by Iran in the nearly seven-month war in Ukraine. "Russia is almost certainly increasingly sourcing weaponry from other heavily sanctioned states like Iran and North Korea as its own stocks dwindle," it said. The statement came a day after the Ukrainian military published several images and said it had likely shot down a drone near Kupiansk in Kharkiv that appeared to be an Iranian Shahed-136 model. The Iranian government has yet to comment on the claims, but its officials have previously denied supplying Russia with drones to be used in Ukraine, saying Iran would not assist either side in the war as it backed its resolution through dialogue. There are no known official specifications for the Shahed-136, but it is a so-called "suicide drone" that is capable of carrying a warhead over long distances.

NASA's tiny CAPSTONE spacecraft has run into trouble on its way to the moon and is currently tumbling out of control. The US space agency's $30 million probe, which is around the size of a microwave oven and weighs just 55 pounds, has also been experiencing temperature issues and had problems generating power from its solar panels. Toward the end of a major engine burn last Thursday (September 9), CAPSTONE experienced an anomaly that put the probe in a protective'safe mode', mission team members said. In an update issued this week, Advanced Space – the company that is managing the project for NASA – described it as a'dynamic operational situation'. It is not the first time CAPSTONE has hit a snag.

The European Space Agency's Solar Orbiter spacecraft has captured the reversal of the Sun's magnetic field on camera for the first time. These reversals, known as magnetic switchbacks, have previously been hypothesised, but until now have not been observed directly. The new observation provides a full view of the structure and confirms that magnetic switchbacks have an S-shaped character. ESA hopes the footage will help to unravel the mystery of how their physical formation mechanism might help accelerate solar winds. Scientists develop a'recipe' for parents to stop babies crying Meghan Markle's handshake is ignored by member of the public Kremlin journalist admits Russia is losing'huge number of people' Thousands gather for arrival of Queen's coffin at Buckingham Palace The European Space Agency's Solar Orbiter spacecraft has captured the reversal of the Sun's magnetic field on camera for the first time.

The Federal Circuit recently held as a matter of statutory interpretation that an artificial intelligence system cannot be named as an inventor on a US patent application. This holding, which effectively excludes AI systems from the category of "individuals" eligible to be named as inventors, may complicate the intellectual property strategies of innovators who use advanced AI for research and development. Here's what happened and why it matters. The Federal Circuit was asked to determine whether an AI system called DABUS could be named as the inventor on two separate patent applications. The first disclosed a light source that was calibrated with a specific frequency corresponding to, among other characteristics, certain human brainwave activity.

Trying to overcome human untoward biases by replacing with AI is not as straightforward as it might ... [ ] seem. Humans have got to know their limitations. You might recall the akin famous line about knowing our limitations as grittily uttered by the character Dirty Harry in the 1973 movie entitled Magnum Force (per the spoken words of actor Clint Eastwood in his memorable role as Inspector Harry Callahan). The overall notion is that sometimes we tend to overlook our own limits and get ourselves into hot water accordingly. Whether due to hubris, being egocentric, or simply blind to our own capabilities, the precept of being aware of and taking into explicit account our proclivities and shortcomings is abundantly sensible and helpful. Let's add a new twist to the sage piece of advice. Artificial Intelligence (AI) has got to know its limitations. What do I mean by that variant of the venerated catchphrase? Turns out that the initial rush to get modern-day AI into use as a hopeful solver of the world's problems has become sullied and altogether muddied by the realization that today's AI does have some rather severe limitations. We went from the uplifting headlines of AI For Good and have increasingly found ourselves mired in AI For Bad. You see, many AI systems have been developed and fielded with all sorts of untoward racial and gender biases, and a myriad of other such appalling inequities.

What will be #artificialintelligence job market over the next decade? How does #AIEngineering differ from other AI domains? is it useful for a researcher of artificial intelligence to have a background in cognitive science? AI engineers are in charge of building AI development and production infrastructure, and implementing them, relying on the AI paradigm: Human-like AI (HAI), or simply Narrow AI (NAI). Such an HAI involves programming machines to human brains as well as simulating human actions. AI engineering focuses on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world.

Washington – Twitter whistleblower Peiter Zatko told the U.S. Congress on Tuesday that the platform ignored his security concerns, in testimony that came as company shareholders greenlit Elon Musk's $44 billion takeover deal. Nearly 99% of the votes cast by stock owners endorsed the agreement with Musk to sell him the tech firm for $54.20 per share, Twitter said in a release. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites. If this does not resolve the issue or you are unable to add the domains to your allowlist, please see this support page.