Congress is making its biggest push ever to stop drunk driving with President Biden's huge infrastructure bill. As we previously reported, one of the provisions included a mandate for anti-drunk driving technology in new cars. Now, the Infrastructure Investment and Jobs Act has passed Congress with the measure intact, Autoblog (AP) reports, and it's expected to be signed by the President soon. As part of the legislation, carmakers will have to include technology to detect and stop drunk drivers by as early as 2026. First, though, the Department of Transportation will have to determine the best solution to curtail intoxicated drunk driving.

Apple says it will release an update to address an issue related to iPhone 13 screen repairs that could disable the device's Face ID feature. Details on the issue were first reported by tech site iFixIt, which reported a small chip paired to the iPhone 13's screen renders Face ID inoperable when the screen is repaired. The site said the change would have significant impacts on users or repair shops aiming to replace screens on the iPhone 13. "One of the most common phone repairs that could once be done with hand tools now requires a microscope," said iFixIt. "This means you won't be able to fix your iPhone screen yourself without sacrificing major functionality." In a statement emailed to USA TODAY, Apple spokesperson Nick Leahy said "a solution will be available in an upcoming software update."

The European Union's (EU) proposed plan to regulate the use of artificial intelligence (AI) threatens to undermine the bloc's social safety net, and is ill-equipped to protect people from surveillance and discrimination, according to a report by Human Rights Watch. Social security support across Europe is increasingly administered by AI-powered algorithms, which are being used by governments to allocate life-saving benefits, provide job support and control access to a variety of social services, said Human Rights Watch in its 28-page report, How the EU's flawed artificial intelligence regulation endangers the social safety net. Drawing on case studies from Ireland, France, the Netherlands, Austria, Poland and the UK, the non-governmental organisation (NGO) found that Europe's trend towards automation is discriminating against people in need of social security support, compromising their privacy, and making it harder for them to obtain government assistance. It added that while the EU's Artificial Intelligence Act (AIA) proposal, which was published in April 2021, does broadly acknowledge the risks associated with AI, "it does not meaningfully protect people's rights to social security and an adequate standard of living". "In particular, its narrow safeguards neglect how existing inequities and failures to adequately protect rights – such as the digital divide, social security cuts, and discrimination in the labour market – shape the design of automated systems, and become embedded by them."

Neural networks (NNs) are increasingly being used to predict new materials, the rate and yield of chemical reactions, and drug-target interactions, among others. For these applications, they are orders of magnitude faster than traditional methods such as quantum mechanical simulations. The price for this agility, however, is reliability. Because machine learning models only interpolate, they may fail when used outside the domain of training data. But the part that worried Rafael Gómez-Bombarelli, the Jeffrey Cheah Career Development Professor in the MIT Department of Materials Science and Engineering, and graduate students Daniel Schwalbe-Koda and Aik Rui Tan was that establishing the limits of these machine learning (ML) models is tedious and labor-intensive.

NASA might not even hit its new 2025 moon deadline, an expert has warned, amid fears China could now beat the US to the lunar surface this decade. It comes just hours after the US space agency revealed that its plans to send the first woman and first person of colour to Earth's only natural satellite had been delayed by a year. Seven months of litigation over the Blue Origin lawsuit, the coronavirus pandemic and unexpected cost increases have all played a part in the schedule change. But Dr Erin Macdonald, a Scottish-American astrophysicist and aerospace engineer, agreed with NASA Administrator Bill Nelson that a lack of finances and an unrealistic target set by Donald Trump's government in 2019 was also to blame. She told BBC Radio 4's Today programme: 'The budget that they were awarded to do this under the previous administration wasn't really sufficient to get everything completed in the timeline they were given.'

Receiving a film recommendation on your favourite video-on-demand platform, unblocking your phone with your face, using autocorrect, and chatting with a chatbot: all of these are everyday examples of Artificial Intelligence (AI). Despite sounding futuristic, AI is already being used by European citizens daily. Its opportunities can be endless, but there are also risks on the table. "The potential of using AI in beneficial ways is enormous: less pollution, improved medical care, enhanced opportunities, better education and more ways to enable citizens to engage in their society," said Margrethe Vestager, Europe's competition commissioner who is also in charge of digital. It can also be used "to fight terrorism and crime and enhance cybersecurity," Vestager underlined in a debate at the European's Parliament Special Committee on Artificial Intelligence.

Artificial intelligence (AI) is a term highly surrounded by many myths. From utopian futuristic films and books to dystopian scenarios for the future, the idea of artificial intelligence has encouraged people's wildest imaginations. But how does AI really change our society? What truly lies beneath the mystical mask of AI and what does it bring to our businesses and public sector? On November 17-18, the global artificial intelligence conference AI Boost 2021 will gather global leaders and practitioners to answer these and many other questions.

Today Artificial Intelligence and Machine Learning are penetrating every aspect of business, from Chatbots being deployed to assist customers to AI-driven platforms being harnessed to automate sales processes. From powering Apple's Siri and Microsoft's Cortana to Google's Allo, AI is promising a better future. At FuGenX, we help businesses build cutting-edge AI solutions that enable them to achieve a first-mover advantage to be a leader in the better future. Our services around AI help you gain high-quality, high-accuracy AI capabilities that enables building highly scalable and cost-effective digital products and solutions. You will certainly achieve the benefit of minimized labor and infrastructure cost.

Organizations are embracing digital transformation to enhance operations. Artificial intelligence (AI) in particular is revolutionizing the ways companies collaborate and conduct business. However, as these technologies spread across industries, these systems give rise to new attack points and vulnerabilities; especially for criminal activity. A study published in the journal Crime Science analyzed a vast spectrum of AI-enabled crimes in the years ahead ranging from military robots and autonomous attack drones to AI-assisted stalking. To assess the risks associated with these various potential criminal scenarios, the review featured a two-day workshop of individuals from the private and public sector, academics, police agencies, and more.

" Ethical AI " implies adopting AI in a manner that is transparent, responsible, and accountable which means it should remain consistent with laws, regulations, norms, customer expectations, and societal values. Ethical AI should be able to safeguard against any bias and discrimination, incorrect judgment, and respect privacy at scale. Let me depict a few Use cases in AI which will make you understand the underlying serious ethical concerns. Healthcare is an area where practitioners have been the early adopters of AI but its patient engagement, care delivery, and population health are prone to issues such as bias, and violations of data privacy. Bias in society is reflected in historical health data and, if not corrected, can cause AI systems to make biased decisions. For e.g., who gets access to healthcare management services on priority, based on the reported racial makeup of study populations and gender split introduces malpractices and is the cause of discrimination.