What do cucumbers, avocados and coffee all have in common? Aside from being absolute necessities (yes, avocados too), they're all crops pollinated by bees. And if things keep heading in the direction they're at, we're screwed. Considered by many to be annoying little pests buzzing precariously near our ears, bees are extremely important. About one third of all plants and plant products consumed by humans are dependent on bee pollination.

The world is only just getting used to the power and sophistication of virtual assistants made by companies like Amazon and Google, which can decode our spoken speech with eerie precision compared to what the technology was capable of only a few short years ago. In truth, however, a far more impressive and mind-boggling milestone may be just around the corner, making speech recognition seem almost like child's play: artificial intelligence (AI) systems that can translate our brain activity into fully formed text, without hearing a single word uttered. Brain-machine interfaces have evolved in leaps and bounds over recent decades, proceeding from animal models to human participants, and are, in fact, already attempting this very kind of thing. Just not with much accuracy yet, researchers from the University of California San Francisco explain in a new study. To see if they could improve upon that, a team led by neurosurgeon Edward Chang of UCSF's Chang Lab used a new method to decode the electrocorticogram: the record of electrical impulses that occur during cortical activity, picked up by electrodes implanted in the brain.

From its epicenter in China, the novel coronavirus has spread to infect 414,179 people and cause no less than 18,440 deaths in at least 160 countries across a three-month span from January 2020 till date. These figures are according to the World Health Organization (WHO) Situation report as of March 25th. Accompanying the tragic loss of life that the virus has caused is the impact to the global economy, which has reeled from the effects of the pandemic. Due to the lockdown measures imposed by several governments, economic activity has slowed around the world, and the Organization for Economic Cooperation and Development (OECD) has stated that the global economy could be hit by its worst growth rate since 2009. The OECD have alerted that the growth rate could be as slow as 2.4%, potentially dragging many countries into recession.

Comet provides a meta-machine learning platform, runnable in the cloud or on-premise/VPC, that allows data science teams reproduce full experiments (and not just code), manage users across large distributed data science teams, and provide managers insight into team contributions and performance. This article was written in collaboration with Tyler Folkman, Head of AI at Branded Entertainment Network. To read more of Tyler's writing, check out his Medium Blog. In 1973, at the height of the OPEC oil crisis and skyrocketing fuel prices, NASA scientist and USC professor Jack Nilles began thinking about ways work could be done without the need for commuting. To this day, Nilles remains one of the principal evangelists for remote work as a viable alternative to a traditional office.

Google is skipping its tradition of designing an April Fools' Day joke on its front page during the COVID-19 pandemic. The announcement came from Lorraine Twohill, Google's chief marketing officer, who informed company management of the decision in an email. According to Twohill, the decision was made'out of respect' for everyone currently working to fight against the spread of COVID-19. Google will forgo its annual tradition of posting an April Fools' Day joke for the first time since the tradition began in 2000, a decision the company says was made'out of respect for all those fighting the Covid-19 pandemic' 'Under normal circumstances, April Fool's is a Google tradition and a time to celebrate what makes us an unconventional company,' Twohill wrote, according to a Business Insider report. 'This year, we're going to take the year off from that tradition out of respect for all those fighting the Covid-19 pandemic.

Jack Schofield, the Guardian's former computer editor and author of its technology advice column, Ask Jack, for almost 20 years, has died aged 72. Schofield was taken to hospital following a heart attack on Friday night and died on Tuesday afternoon. The Guardian's editor-in-chief, Katharine Viner, said: "Jack Schofield was one of the first true technology and computing experts in British journalism. In more than 35 years writing for the Guardian, he saw (and foresaw) the rise of personal computers, the advent of the internet, Google, smartphones and much more. His Ask Jack column was an essential and expert guide for generations of Guardian readers. Our thoughts are with Jack's family and friends at this sad time."

Hypersonic represents a new frontier of missile warfare: fast, stealthy, and unpredictable in flight. The U.S. recently tested a prototype that puts it in a race with China and Russia to claim a capability that adds another layer of uncertainty to geopolitical competition, not least because of the complex computational systems on which hypersonic weapons rely. Put simply, the assumptions of conventional missile warfare – that incoming attacks can be tracked and intercepted, and a proportionate response be weighed – don't transfer easily to hypersonic weapons because they are so fast and stealthy. That means a greater reliance on artificial intelligence to track and respond, raising ethical questions about how such systems are programmed. Even if it's not all dictated by AI, "there is going to be an awful lot of automation and that kind of decision chain to deal with these kinds of systems," says Douglas Barrie, a military aerospace analyst in London.

Teams of epidemiologists and computer scientists on three continents have started mass population surveys to try to get ahead of the coronavirus and ensure that scarce diagnostic tests, and even scarcer ventilators, are sent where they can do the most good. More than two million people in Britain and 150,000 Israelis have already completed simple questionnaires, and many are updating their answers daily. Analysts of the data -- including symptoms of Covid-19 and test results, as well as risk factors and demographics -- say they have been able to identify incipient outbreaks days ahead of the authorities. Three groups in the United States -- led by Massachusetts General Hospital, the Massachusetts Institute of Technology and Weill Cornell Medicine in New York -- are now vying to attract enough survey participants nationwide to detect impending hot spots. In Israel, where artificial-intelligence experts at the Weizmann Institute of Science have played a leading role in the effort, computer models that were fed the results of questionnaires accurately predicted surges in cases in cities like Bnei Brak, Jerusalem and Beersheva five days in advance, researchers said.

New York, New York--(Newsfile Corp. - March 31, 2020) - Dell EMC, a leading provider of full-stack solutions for data science teams, and Comet, the industry-leading meta machine learning experimentation platform, announced a collaboration with a reference architecture for data science teams looking to harness the power of the Dell EMC infrastructure in tandem with Comet's meta machine learning platform. With Dell EMC PowerEdge reference architectures, organizations can deploy artificial intelligence workload-optimized rack systems approximately 6-12 months faster than it would have taken to design the correct configurations and deploy the solution. Organizations can now rely on architectures that are tested and validated by our Dell engineers and know that services are available when and where you need them. "Orchestrating and managing the stack for enterprise data science teams is a huge pain point for many of our customers," said Gideon Mendels, Co-founder/CEO, Comet. "Dell EMC's Kubeflow and Kubernetes solutions are best-in-class and an excellent choice for any data science team looking to build a robust and scalable ML platform."

Researchers from Tokyo Metropolitan University have used machine learning to analyze spin models, which are used in physics to study phase transitions. Previous work showed that an image/handwriting classification model could be applied to distinguish states in the simplest models. The team showed the approach is applicable to more complex models and found that an AI trained on one model and applied to another could reveal key similarities between distinct phases in different systems. Machine learning and artificial intelligence (AI) are revolutionizing how we live, work, play, and drive. Self-driving cars, the algorithm that beat a Go grandmaster and advances in finance are just the tip of the iceberg of a wide range of applications now having a significant impact on society.